Get Your Tools Installed (Mac)
You will be installing the required tools and software for the course. There's a lot to get through, so buckle in and get ready!
Before You Begin
First, create accounts for the following services, which you'll need throughout the course. Don't just create logins; job recruiters often scour these sites in search of job candidates, so be sure to provide at least a headshot and contact information.
Note: You should create a full profile highlighting your skills and work experience, and include a headshot.
In addition, be sure to accept the invite for your section on Slack. You will receive the link to your class-specific channel during orientation. If you don't receive this email, contact your Student Success Manager for assistance.
Tool and Software Installations
Follow the instructions below to complete the installation process for all of the required tools.
Google Chrome
1. If you don’t already have Chrome installed, visit the download page here.
2. Download, open, and run the installation file.
Screencastify
Note: You must be using Google Chrome in order to install and use Screencastify.
1. Open Google Chrome.
2. Go to the Chrome Web Store and type Screencastify in the Search Extensions bar in the top left of the page. Note: You can also start by going to the Screencastify website and clicking the Add to Chrome button, which will take you directly to its listing in the Chrome Web Store.
3. Click the Add to Chrome button.
4. Click Add extension.
5. When the download is complete, click the gray film strip icon in the top-right corner of your browser screen to launch Screencastify.
Allow Webcam and Microphone Access
The first time you click on the Screencastify icon, you'll be asked to give Screencastify permission to access your webcam and microphone, which enables you to narrate over your recordings as well as record your webcam. You are required to allow access in order for the Screencastify extension to function properly. You do not need to include audio or video in your recordings, and Screencastify never records audio or video unless you expressly ask it to.
1. Click the Setup Camera Access button.
2. Click Allow in the pop-up window.
Note: If Screencastify is unable to detect your microphone, click here. If it's unable to detect your webcam, click here.
Connect Your Google Drive to Screencastify
It is recommended that you save all of your Screencastify recordings to Google Drive, which is safer than storing them locally on your computer. By connecting your Google Drive to Screencastify, your recordings will be saved there automatically. The length of this process depends on how long a particular recording is. Note: Screencastify never views, modifies, stores, or in any way interacts with the other files in your Google Drive.
The first time you open the Screencastify extension, you'll be asked where you want to store your recordings (right after you allow webcam and microphone access). Follow these steps:
1. Confirm that Google Drive is selected, and then click Next.
2. Sign in to your Google account. Note: You can sign in with any Google-based account, not just an @gmail.com address.
3. Allow Screencastify permission to access your Google Drive.
And that's all you need to do! As soon as you finish your first recording, a new folder named Screencastify will be created in your Drive. All of your recordings will be saved in this folder.
The videos you will see in Your Recordings library in Screencastify are synced with this Screencastify folder in your Drive. This means:
- If you delete a video in Screencastify, it will also be deleted from your Drive.
- If you move a video out of the Screencastify folder in your Drive, it will no longer be accessible from Your Recordings in Screencastify.
- If you rename a video in Screencastify, it will also be renamed in your Drive.
You can always change the default storage location for your recordings, even after initial setup. Simply open the extension menu and click Options. The first thing you'll see is an option to select where you want to store your recordings.
Want to know how to record, save to your Google Drive and share your recordings? Check it out here!
Slack
1. Search for Slack in the App Store. Click Get under the app name and icon, and then click Install.
2. Open the Finder window, select the Applications folder from the sidebar, and then find and double-click the Slack icon to launch the program.
3. To keep Slack in your dock, right-click the Slack icon, click Options, and then click Keep in Dock.
4. Add our channel to the application and then click Join Now. You will receive the link to your class-specific channel during orientation.
5. Enter your full name and optional display name, create a password, and then click Next.
6. Click your workspace name in the top left to open the menu.
7. Select Sign in to another team.
8. Enter your team’s Slack domain that you received during orientation. Click Continue.
9. Enter your email address (the one we used to invite you) and password to sign in. When you see the chatroom, you're finished.
VS Code
1. Go to the setup page on the VS Code website and select Mac as your platform.
2. Open your Downloads folder and click on the file to unzip.
3. Drag the file to your Applications folder.
You should now be able to access VS Code from your Applications folder.
Open in Browser (VS Code Extension)
1. Open VS Code.
2. Open the extensions pane and search for open in browser.
3. Select the version written by TechER and click Install.
Terminal
You’ll be entering your command line code through this interface. Since you’re on a Mac right now, you already have it! Just follow these steps to open the program.
Step 1. Press command + spacebar to open Spotlight Search.
Step 2. Type terminal into the search and then press Enter.
Step 3. Keep this window open; you’ll need it for the next steps.
Xcode
Step 1. Copy the following line, paste it into your Terminal window, and press Enter:
xcode-select --install
Step 2. A window will appear with the following message: “The xcode-select command requires the command line developer tools. Would you like to install the tools now?”. Select “Install.”
Step 3. Agree to the Terms of Service.
Note: If you get a message saying that you don't have permissions to run this, copy and paste the following code into your terminal and press Enter.
sudo xcode-select --install
You will then need to provide your computer's password to complete the installation.
Homebrew
Step 1. Go to Homebrew. Copy the script listed under Install Homebrew.
Step 2. Paste the script into your Terminal window. Press Enter.
SSH Keys
To complete these steps, you will need to sign up for a GitHub account if you haven't already.
It's recommended that you use the following walkthrough video alongside the steps outlined below to add GitHub SSH keys:
Step 1. Open Terminal.
Step 2. To make sure you don’t already have a set of keys on your computer, type the following in your Terminal window. (Note: Copying and pasting will not work!)
ls –al ~/.ssh
- If no keys pop up, move on to Step 3.
- If keys do pop up, check that none of them are listed under
id_rsa
, like in this image:
Note: If you find a key with a matching name, you can either overwrite it by following the next steps, or you can use the same key referenced in Step 8. If you decide not to overwrite it, you will need to remember the password tied to your key.
Step 3. Enter the following command along with your email to generate your keys.
ssh-keygen –t rsa –b 4096 –C<EMAIL_ADDRESS>Step 3a. (optional) If the command above causes an error, try the following command instead:
ssh-keygen -t rsa
Step 4. When prompted to enter a file to save the key, press Enter, and then enter a passphrase for your key. Note: You shouldn’t see any characters appear in the window while typing the password. When you’re finished, your window should look like this:
Step 5. Link your key to your machine using a tool called the ssh-agent. Run the following command to test whether the ssh-agent is running on your machine: eval "$(ssh-agent –s)"
. Your Terminal window should look like this:
Step 5a. (optional) If you're using macOS Sierra 10.12.2 or later, you need to modify your ~/.ssh/config file to the following:
Host *
AddKeysToAgent yes
UseKeychain yes
IdentityFile ~/.ssh/id_rsa
Step 6. Run the following command: ssh-add ~/.ssh/id_rsa
.
Depending on your version of ssh-add you may need the -K
option. If the command above returns an error, run the following command instead: ssh-add -K ~/.ssh/id_rsa
Step 7. When prompted, enter the passphrase associated with the key. Note: If you’ve forgotten this key, go back to Step 3.
Step 8. To add the key to GitHub, first copy the key to your clipboard by entering the following command:
pbcopy < ~/.ssh/id_rsa.pub
.
You shouldn’t see any kind of message when you run this command. If you do, make sure you entered it correctly.
Note: Do not copy anything else to your clipboard until all steps are completed. Otherwise, you’ll need to enter the copy command again.
Step 9. Go to GitHub's SSH key settings. Click New SSH key.
Step 10. When the form pops up, enter a name for your computer in the Title input. In the Key input, paste the SSH key you copied in Step 8.
Step 11. To add GitHub to your computer’s list of acceptable SSH hosts, type the following command in your Terminal window: ssh –T<EMAIL_ADDRESS>. - You should see an RSA fingerprint in your window. Enter yes only if it matches the one highlighted in the image below:
Setting Your Git Username for Every Repository on Your Computer
Git uses a username to associate commits with an identity. The Git username is not the same as your GitHub username.
You can change the name that is associated with your Git commits using the git config
command. The new name you set will be visible in any future commits you push to GitHub from the command line. If you'd like to keep your real name private, you can use any text as your Git username.
Changing the name associated with your Git commits using git config
will only affect future commits and will not change the name used for past commits.
Setting Your Email Address for Every Repository on Your Computer
GitHub uses the email address set in your local Git configuration to associate commits pushed from the command line with your GitHub account.
You can use the git config
command to change the email address you associate with your Git commits. The new email address you set will be visible in any future commits you push to GitHub from the command line. Any commits you made prior to changing your commit email address are still associated with your previous email address.
For more information on commit email addresses, including your GitHub-provided noreply
email address, see "About commit email addresses."
You're Done!
You did it! Take a moment to complete this quick check-in to see how you're feeling about installing your tools for the boot camp:


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Television
- Became available in crude experimental forms in the late 1920s
- In 2013, 79% of the world's households owned a television set
- Etymology: Ancient Greek tèle (far) and Latin visio (sight)
Clara Luper
- Best known for her leadership role in the 1958 Oklahoma City sit-in movement
- Taught American history for 41 years
Ivy
- Genus: Hedera
- Cultivation:
- Aesthetic evergreen foliage
- Attracting wildlife
- Adaptable design uses in narrow planting spaces
- Several ivy species have become a serious invasive species
Cantilevers
- Rigid structural element anchored at one end to a support from which it protrudes
- Widely found in construction
Giraffes
- Tallest living terrestrial animal and the largest ruminant
- Neck can be up to 2–2.4 m (6.6–7.9 ft) in length
- Neck vertebrae have ball and socket joints
- Eat about 34 kg (75 lb) of foliage daily
TV Slideshow


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Nick Perri
Web Developer
Dev Boot Camp
Web Development training program
University of Oakland
Masters in the Art of Teaching (Secondary Education)
University of Michigan
BS in Ecology and Evolutionary Biology
Teacher
I have worked as an instructor in Thailand for one year, and in Detroit for two years. While in Thailand, I taught an ESL curriculum to Thai students, and tutored international students with their IGCSE Biology, Physics and Chemistry.
While in Detroit I taught high school earth science, anatomy, and robotics
Robotics Coach
I co-founded/coached the Denby High School FIRST robotics team for two years


Hi all,
My SD card on my pi running the low write emoncms finally succumbed to wear and tear after almost 2 years of continued usage. I don't know if it is a definite tell tale sign but there was a big drop off in performance of emoncms weeks before the doom hit. This gives me an excuse to upgrade to the latest version now and migrate my backup data (Any advice?).
I was prepared, are you? Set your backups!
Re: SD Card Life
Thanks for letting us know, is it 2 years already!?
What form is your backup in? mysqldump? and feed data files?
Re: SD Card Life
Yeah I had mysql dumps done, now I realise that may not have been enough :( I'm going to download some forensic tools to see if I can rescue any of the scripts and stuff I had sitting on there I hadn't backed up.
Going forward for the new install I'm going to look into tarsnap as an offsite backup solution for the data partition, seems like it will plug in and be relatively cheap to hold.
Re: SD Card Life
I've been using tarnsap (not for emoncms stuff) for well over a year now, and am very impressed with it. I've now got "110GB" of tar files stored with them, or at least that's how it appears to me (to their servers it appears as about 850MB). Each of my full backups is about 2.2GB, but thanks to the magic of block de-duplication and compression, a full backup takes just moments and results in just a few hundred kB being written to the cloud (subject to how active I've been). Some days it shows an entire day's work can be summed up in just a few kBs! My initial $5 deposit has been depleted down to $2.57.
Re: SD Card Life
Hello guys, sorry for the loss..
I had an idea about how to make smaller changes to the setup on the pi in order to get a more durable system. I am not a unix wiz and dont know how much of this is possible in reality. But using common services as dropbox, and OS features like RAM disk might help us out in creating systems that will run forever and never need manual backup. If this can be automated it will really be useful.
Imagine "time machine" (Built in OS X super simple backup feature) like backup from the raspberry to dropbox or any other free service.
I wrote som in this thread about the idea, feel free to comment.
http://openenergymonitor.org/emon/node/10812
Re: SD Card Life
Here's a daemon that would help extend flash memory life. Excerpted from the author's webpage:
Ramlog act as a system daemon. On startup it creates ramdisk, it copies files from /var/log into ramdisk and mounts ramdisk as /var/log. All logs after that will be updated on ramdisk. Logs on harddrive are kept in folder /var/log.hdd which is updated when ramlog is restarted or stopped. On shutdown it saves log files back to harddisk so logs are consistent. Ramlog 2.x is using tmpfs by default, ramfs and kernel ramdisk are suppored as well. Program rsync is used for log synchronization.
I've been running it on an early Model B Pi since Sep of 2014, and have not had any problems with it.
Site URL: www.tremende.com/ramlog/
Ramlog is GPLv3 software.
Re: SD Card Life
Wow, that is an encouraging insight dBC! Glad to hear that setup is working well for you. I hope that a $5 deposit will last a long time.
goodfidelty and Bill, the prospects of RAMdisk and ramlog seem interesting. Maybe Trystan can throw in his 2 cents because I remember in the early days the read/write topic received some investigation and these ideas/tools may have been considered already.
Re: SD Card Life
Yepp.
In my opinion the dropbox idea should be considered as an option for all users anyways, a nice online automatic backup of the database would be very nice.
I am not very well aware of other system settings that needs to be backuped, but using an automated script that keeps settings, scripts, plugins or whatever backed up together with database to dropbox account would be almost to good to be true =)
Having the same script in the pre installed SD image file with an option to recover from backup would make it just to easy when making new installations. Just put dropbox user ID and PW and everything is just where you left it.
Dropbox is free, and by inviting friends you can get as much as 16Gb of free data. I am not sure but i guess that will cover many years of usage. And for customers who like to pay for this service i am sure its still a good feature.
The whole RAM Disk idea i think needs more tinkering. But i am sure that anyone with some LINUX experience can get it done.
//J
Re: SD Card Life
Raspbian on the Pi is already using the RAM Disk feature for its temporary files. The Unix name for this is "tmpfs" as described here: Wikipedia article on tmpfs
We have 6 separate tmpfs filesystems in the Pi's RAM -- /dev, /tmp, /var/log and 3 under /run.
Indeed it would be possible to use another tmpfs for data logging. My emonPi durrently has 740 Mbytes of memory free, so it would be safe to allocate maybe 200M for this purpose.
Re: SD Card Life
Thank you Steve for this valuable input.
Maybe you know how much data is created in one month of average logging? Is 200Mb enough for one year or so? I think it will probably be more then enough.
How much of a hassle will it be to reconfigure the emonSD card to make all the logging to ramdisk in the low write mode?
Will there be any major savings to read/write cycles on the SD if everything is logged to the RAM and later to the SD maybe once every day? Maybe this can be done with RAR or something to save space and cycles?
I think this is one very important feature for the whole system, to be durable and redundant.
//J
Re: SD Card Life
I just want to add this link for cross reference:
http://openenergymonitor.org/emon/node/10812
Re: SD Card Life
One year of logging will be no problem. My Pi uses the PHPFINA engine and the files named /home/pi/data/phpfina/NN.dat (where NN is the feed number) grow by 24 bytes every minute.
That's 34 kbytes for a day and 12 Mbytes for a year. I have 3 feeds (house, solar and solar kWh) so altogether 36 Mbytes of logged data in one year.
Logging to RAM would take a small amount of scripting. After a reboot we begin with an empty RAM filesystem, so a boot-time script must set up the logging directories.
Of course data will be lost at any power failure or reboot, so your idea to copy back to SD once a day is good. Compression will help -- I tried gzip on one of my .dat files and the compressed data is 30% of the original. The big saving is in not writing the directory (actually the inodes) every minute.
For my 3 feeds, Linux on the Pi reports 6 kbytes per minute written to the mmcblk0p3 filesystem, the one with the logs. Much more than 3*24 bytes due to the directory overheads and the 1k filesystem blocksize. I used this command to get the bytes written, then checked again 10 minutes later:
Inside the SD card the bytes written will be even more than 6k/minute due to blocksizes and wear levelling. So a daily copy from RAM would be a big improvement.
Re: SD Card Life
I don't think moving the data feeds to RAM will improve much as when the existing SDcard image is using low-write emoncms the data is already buffered in RAM and then written to disk once every minute, this minimizes the data loss if there is a restart to 1 min at most.
As your calculations show the writing of the data to the data feeds is minimal and that part itself would take an eternity to wear out a SD card as the same part is never written to twice, even editing and rewriting past data has been prohibited. I believe the main cause of SDcard burnout is the use of mySQL, The indexing (and "last value" and "time of last update" type fields) will constantly be rewritten and quickly hit the wear limits for a particular location.
Perhaps it is possible to move the mySQL files around as a form of wear leveling or move the sql tables to RAM and write to disc once an hour or so???
Ultimately the way to go would be to replace the SQL tables with text based files but that probably involves a major rewrite of emoncms
Paul
Re: SD Card Life
Paul,
On my Pi I can't see any significant SQL activity. Timestamp on /home/pi/data/mysql/ibdata1 is the time of the last boot. In the emoncms subdirectory the only recent activity is in the "rememberme" table, from a few hours ago when I started a web browser session.
Unless I missed something, all the action is in the phpfina files. (My config is simple -- 2 current sensors, logged to 3 feeds then viewed in My Solar.)
Re: SD Card Life
I know very little about SQL or the intricacies of writing data to the SD card and struggle to understand how writing data to the SDcard in whole blocks once and once only to any single point could significantly contribute to the SDcard wear, I understood that database activity was a main cause of SD card failure so from that I'm led to believe it is databasing but not the feeds themselves, which makes sense (to me) as I expected mySQL indexing and updating to be write intensive and occur frequently in a fairly consistent manner (location and time wise) .
If it isn't the the SQL indexes then could it be the inode metadata file being updated constantly? if so perhaps an automated process that regularly results in a new (relocated) inode could increase SD card life expectancy.
Paul
Re: SD Card Life
Here's an interesting read about how the way an SD card is formatted can affect not only its performance, but its lifespan too: http://3gfp.com/wp/2014/07/formatting-sd-cards-for-speed-and-lifetime/
Excerpt from the article:
Raw flash chips are divided up into several integral read and write sizes. It is important to keep these sizes and their alignment into consideration or a card may end up performing 2 write operations for each 1 write operation intended thereby cutting the life of the flash in half.
The article made me wonder if that's one of the contributing factors (among many) as to why some folks seem to burn through SD cards, while others seem to get reasonably long life from them.
Re: SD Card Life
Paul,
I also don't know how to reconcile the low writing rate with the topic of this thread, namely the death of an SD card after 2 years.
Much depends on the SD card's internal design. Those once-a-minute writes could hit 6 blocks (3 files and 3 inodes) and a block could be 32k or more, so inside the chip we are writing 6 times 32k which is 32 times the rate observed in Linux.
Bill,
From that article I learned that flash controllers are optimised for FAT32. For a Linux perpsective try Optimizing Linux with cheap flash drives (written in 2011 when the kernel programmers were working in this area).
Re: SD Card Life
Maybe the answer is to establish a optimum "write" regime and work backwards. eg from a quick glance through Bill's link it looks like 128kiB blocksize is an optimum size if aligned with the partition structure. each day or hour (which ever is more efficient) the "current" block gets moved to minimize wear and when the block is full append it to the main data file and create a new one, so "the feed" is actually made of 2 files a static "main" and a rolling "current"??
Just throwing ideas out there, as I see the potential loss of up to an hour or a day's worth of data a much bigger inconvenience than replacing the SD card once a year, as a preventative measure since we get quite a few power interruptions, mostly momentary, but nonetheless, enough to cause a reboot.
Even if the ideas won't fly, if someone points that out, I consider myself a step closer to finding a solution :-)
Paul
Re: SD Card Life
Unfortunately the optimum blocksize may be different for each make/model of SD card. This page has a long list from a survey in 2012-13: Flash memory card design My conclusion is that it's too hard to improve on the optimisations already done, both in the kernel and by the delayed write strategy.
For peace of mind I will move my phpfina directory away from the SD card, either to RAM or a USB stick. Then the only writes will be for software updates, config changes and the 'rememberme' table in mysql.
Backups of the feeds in phpfina will be:
I'll use rsync to make a mirror of the phpfina directory on my Linux machine. This needs no extra software on the Pi, just a key in /home/pi/.ssh/authorized_keys.


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WELCOME TO DNG. WE DEVISE UNIQUE USER EXPERIENCES AND BUILD LONG-TERM RELATIONSHIPS THROUGH OUR DEVOTION AND LOVE FOR ALL THINGS DIGITAL
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WELCOME TO DNG. WE DEVISE UNIQUE USER EXPERIENCES AND BUILD LONG-TERM RELATIONSHIPS THROUGH OUR DEVOTION AND LOVE FOR ALL THINGS DIGITAL
DNG implements HTML, CSS, PHP and JavaScript to deliver efficient, user-centric and cleanly coded websites, mobile apps and custom E-Commerce solutions. We work with easily navigable content management systems (CMS) like Wordpress, Shopify, Magento, Drupal, Joomla!, and more to satisfy your business needs.
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The most important thing as a leader is your relationship with God. - Manny Pacquiao
Manny "Pacman" Pacquiao is generally considered to be one of the greatest boxers of all time as he is the first and only eight-division world champion, in which he has won ten world titles, as well as being the first to win the lineal championship at five different weight classes. Pacquiao is also the third fighter in boxing history to win genuine world championships in three of the original eight weight divisions of boxing, also known as the "Glamour Divisions"
Pacquiao is generally considered to be one of the greatest boxers of all time as he is the first and only eight-division world champion, in which he has won ten world titles, as well as being the first to win the lineal championship at five different weight classes.Pacquiao is also the third fighter in boxing history to win genuine world championships in three of the original eight weight divisions of boxing, also known as the "Glamour Divisions"
Beyond boxing, Pacquiao has participated in basketball, business, acting, music recording and politics. In May 2010, Pacquiao was elected to the House of Representatives in the 15th Congress of the Philippines, representing the province of Sarangani. He was re-elected in 2013 to the 16th Congress of the Philippines. In June 2016, Pacquiao was elected as a senator and will serve a six-year term until 2022. Pacquiao, while mostly focused on being a boxer and a politician, is listed as the head coach of the basketball team Mahindra Floodbuster. He was also drafted onto the team as 11th overall pick in the first round of the 2014 PBA draft, making him the oldest rookie drafted,[20] as well as the shortest player and the first dual-sport athlete in the Philippine Basketball Association.
“I will do my best, and I promise I will give this guy a fight, and I have to win this fight.” - Manny Paquiao
Life is meant to be a challenge because challenges are what make you grow." - Manny Paquiao
"If you practice hard, you can win every battle." - Manny Paquiao
Being a Christian means accepting Christ as your savior, your God. Thats why you are called a Christian. If you remove Christ, theres only ian and that means I am nothing.
"Faith is my motivation to win."" - Manny Paquiao
"All those who are around me are the bridge to my success, so they are all important." - Manny Paquiao
"All those who are around me are the bridge to my success, so they are all important." - Manny Paquiao


DIRECTED BY: Oliver Stone WRITTEN BY: Oliver Stone, John Logan and Daniel Pyn
CAST: Al Pacino, Cameron Diaz, Dennis Quide, James Woods, Jamie Coxx, Charlton Heston
Runtime: USA:112
-- RATING: 8/10
Life is a fierce competition.  Everyone of them is ready to push you aside, to kill, in order to come first. This time the subject is the brutal world of fictitious American football team the Miami Sharks. Possibly the most "Oliver-Stoney" Oliver Stone movie to date, Pacino essentially plays a hard-drinking football coach who must reverse the Sharks' losing streak, while the predictably underwritten ice maiden comes in the form of Diaz' ball-breaking club owner. But he starts questioning his own priorities. Is winning really the most important, or is it something else?
Comparing American Football to American life is an interesting idea and Oliver Stone is the natural choice. Here everything is in the open. The players stand against each other, ready to release all their energy into one single move. Ready to sacrifice themselves for a single moment of victory. It just takes a couple of seconds, and in that time, you either survive or go down. If you make your way forward, and come out alive, crawling on the bodies of your teammates, there is no end to your glory, until a better player comes along, and then you will be pushed to the ground, and be forgotten. They are the gladiators of our time. This is their arena and America is watching. But on any given Sunday, no matter how good you are, you'll either win or loose...
This is certainly Oliver Stone's (Platoon, Born the Fourth of July, Natural Born Killers) strangest film in some time. He has always been known as a bold director, unafraid to make his statement, no matter how risky or controversial it is. Nothing is subtle. Everything is in the open. He has proven to be a "man of the truth". And "Any Given Sunday" is drained in his most famous trademarks: the twisted cinematography, flashy editing, multidimensional sound. Yet, there is something about this film that somehow makes it worse than Stone's previous. It's not that I didn't enjoy it. I certainly did, but I do not quite know why. Maybe because I share Stone's fascination with American Football or maybe because of the film's incredible visual panache and solid acting. But if you ask me "what is this film about", I couldn't tell you. In all his past films , Stone was very careful to pose the questions in the right way and then energetically move towards a goal, making his way through unfamiliar territories. But here it seems as if he couldn't make up his mind. At first it seems as it is about the American society and the clever parallels to American Football. Then Stone starts criticizing the NFL, but in the end his love for the game takes complete control over the story, transforming it into a fancy filmed football game. It is a confused, but powerfully executed film that has its golden moments. Though the script isn't particularly well written, its holes are compensated by an amazing cast, that is capable of transforming any cliche into originality. Al Pacino, who looks incredible in any role, is magnificent here. It is much more Pacino's character than the scripts, since he goes further, deeper into the mind and heart of a coach that looses touch, faith in himself and life. Dennis Quide is very impressive as an on-field leader privately haunted by insecurity and Jamie Coxx is very nice, proving to be a serious and capable actor. Otherwise the film can boast of names such as Cameron Diaz, James Woods, LL Cool J, Charlt o
Some of it is incredible. And, in a way, Stone does the same with American Football as Spielberg did with WW2 in "Saving Private Ryan". The sense of "being there", not observe from above with the popcorn in one hand and a coke in another, but actually being on the field, look at it from the player's eyes, feel the adrenaline rushing through your body. Unfortunately these amazing sequences, no matter how great they are, are deluding us from the movie's actual objective. Stone gets lost amidst mirrors and smoke, and all the energy that is released during these two hours, is chanalized into nothing. In the end, no matter how noble the intentions, the film wrestles with its own shadow.
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DIRECTFB-CSOURCE(1) DirectFB Manual Pages DIRECTFB-CSOURCE(1) NAME directfb-csource - C code generation utility for DirectFB surfaces SYNOPSIS directfb-csource [options] <imagefiles> DESCRIPTION directfb-csource is a small utility that reads PNG (Portable Network Graphics) image files and generates C code that can be used to compile an image into a DirectFB application. Below is a simple example to illus‐ trate this. If multiple PNG image files are passed to directfb-csource, they are com‐ bined into a single surface. The different images can then be blitted from this surface using the array of rectangles that is also dumped. This can be useful for example for icons or sprites. OPTIONS --name=identifier Specifies the identifier name (prefix) for the generated vari‐ ables. If this option is not used, the identifier is generated from the filename. You have to specify an identifer name when pro‐ cessing multiple images. --format=pixelformat Specifies the pixel-format of the generated inline surface. Possi‐ ble values are ARGB, RGB32, RGB24, RGB16, RGB15, RGB332, A8 and LUT8. By default the format is ARGB if the PNG image has an alpha channel or RGB32 otherwise. --version Output version information. --help Print brief help and exit. EXAMPLE Generate a header file from a PNG image file: directfb-csource --name=foo foo.png > foo.h Include the generated header in your application and create a surface using the surface description from the header file: #include <directfb.h> #include "foo.h" IDirectFB *dfb; IDirectFBSurface *surface; ... dfb->CreateSurface( dfb, &foo_desc, &surface ); OTHER INFO directfb-csource was inspired by and uses code from gdk-pixbuf-csource, a similar program written by Tim Janik. The canonical place to find informations about DirectFB is at http://www.directfb.org/. Version 1.2.10 24 Oct 2003 DIRECTFB-CSOURCE(1)


| Bait Fishing is anything from using spinning reels and artificial lures to actual live bait. It is the most popular type of fishing. The main points of bait fishing is that you cast the weight of the lure out and the reel is able to free spin and independently release fishing line. |
Fly Fishing is not as popular as bait fishing, but it does have its own positives. Instead of casting the weight of the lure, you are casting the weight of the fly line. The
reel doesn’t freespin so casting requires manual unravelling of the line. The benefits to fly fishing is that the gear is much lighter and delicate, meaning the fish with the fish is more difficult. |
Trolling, while popular, is considered to be the slowest form of fishing. Trolling involves putting out baits on long length of fishing line in order to be pulled behind a boat. Although you can cover a lot of water quickly, trolling ends up being just a wait because there is no need to cast or move to a different fishing spot manually. |


{% extends "base.html" %} {% block title %} Edit Post {{ post.title }} {% endblock %} {% block content %}
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Before Change
)
if req.get("func") is not None:
try:
req, endpoint = self.func(req)
if (endpoint != "events"):
// Process the request using the proper handler
self.handlers[endpoint].wrap_func(self, req)
return
except Exception:
// get traceback and send it back
print(traceback.format_exc())
return self.write(traceback.format_exc())
eid = extract_eid(req)
p = window(req)
register_window(self, p, eid)
After Change
tornado.escape.to_basestring(self.request.body)
)
if req.get("func") is not None:
raise Exception(
"Support for Lua Torch was deprecated following `v<IP_ADDRESS>`. "
"If you"d like to use torch support, you"ll need to download "
"that release. You can follow the usage instructions there, "
"but it is no longer officially supported."
)
eid = extract_eid(req)
p = window(req)
register_window(self, p, eid)


Software Engineer - Natural Language Processing - Sunnyvale, CA
Team: Data Services and Solutions
Location: Sunnyvale, CA
ABOUT THE ROLE
Petuum is seeking outstanding Natural Language Processing engineers who are passionate about developing and applying NLP and Machine Learning methods to solving real world problems. You will have a chance to work on and contribute to multiple products and services leveraging NLP and ML. You will be part of a team of world-class engineers, designers, and scientists, working together to democratize the building and deployment of AI and Machine Learning systems. You will have ownership over the projects you work on, and have the flexibility to influence the design and execution of your team's work. A hard working entrepreneur spirit is highly valued and rewarded in the company.
RESPONSIBILITIES
Design and implement cutting edge NLP methods to solve mission critical problems in the real world
Build and deploy large-scale NLP and machine learning pipelines
Drive the testing, documentation, verification, productization and maintenance of the algorithms and pipelines
Learn quickly the evolving in-house and open source technologies and methods
MINIMUM QUALIFICATIONS
Advanced degree (MS or PhD) with a focus in Deep Learning, Natural Language Processing, Artificial Intelligence, or equivalent practical work experience
Good grasp of ML fundamentals
Experience with applying NLP to solving real world problems
Experience with implementing NLP/ML algorithms in Python or C++ and have the desire to learn new programming languages
Good knowledge of algorithm design and software engineering
A passion for ML and AI
PREFERRED QUALIFICATIONS
Publications in top NLP conferences
Experience with multi-threaded design and parallel/distributed computing
ABOUT US
Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum's operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.
The Petuum development platform and gallery of AI building blocks work with any programming language and any type of data, allowing managers and analysts to quickly build AI applications without any coding, while engineers and coders can further re-program applications as needed. With Petuum, many AI applications and hardware can be created and managed from a single laptop or terminal, driving higher productivity, better service, lower costs, and faster delivery. By standardizing AI solutions, Petuum lowers the barrier to AI adoption and allows for the integration of AI into every industry.
Petuum closes $93 Million Series B round led by SoftBank with participation from previous investor Advantech Capital, becoming one of the highest funded early-stage Artificial Intelligence and Machine Learning startups.
Check us out for yourself at http://www.petuum.com/ ( http://www.petuum.com/ ).


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Before Change
// The .prod() here is functioning as a logical and.
correct = predictions.eq(gold_labels).prod(dim=1).float()
count = torch.ones(gold_labels.size(0))
self._correct_count += correct.sum()
self._total_count += count.sum()
def get_metric(self, reset: bool = False):
After Change
// We want to skip predictions that are completely masked;
// so we"ll keep predictions that aren"t.
keep = mask.view(batch_size, -1).max(dim=1)[0].float()
else:
keep = torch.ones(batch_size).float()
predictions = predictions.view(batch_size, -1)


So, you don't have time to spend (at least not right now), to read the tutorial, but still want to use the Boost Logging Lib.
There are several writers. The most common uses the concept of formatters and destinations:
Once you have a writer, you can add several formatters and/or destinations. The writer object knows how to call them. The common (and default) one calls them like this:
The easiest writer is the Named Writer. It's an easy interface to using formatters and destinations. In other words, you set a format string and a destination string.


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<EMAIL_ADDRESS>+34 937 68 40 74


Random: Pokémon Sword And Shield Are Reportedly Crashing Roku Devices
Streaming sticks most affected
by Liam DoolanIf you've been experiencing issues with your Roku device since you've been playing Pokémon Sword and Shield, you're not alone. According to a post on Reddit, running the game and device on the same network supposedly results in Roku crashing and going into a never-ending boot cycle.
The problem is reportedly tied to Sword and Shield's Y-Comm service continually searching for other players on the same network or online, combined with Roku's inability to distinguish Pokémon data packets from the ones it needs to function properly. The device most affected by this is apparently the Roku Streaming Stick.
There's also a theory the problem could be more directly tied to the Switch. Either way, it's believed to be "signals" from the Switch that are crashing the device. Fortunately, there are a few temporary fixes available. You can either move your Switch across to a different network to avoid interference or play the game offline in Airplane Mode.
Have you encountered this issue or a similar problem in the past? Tell us below.
[via comicbook.com, gonintendo.com]


Auxiliary plt functions and .m files |
The first two functions in this list are part of plt.m and the remaining functions exist as as separate .m files in the main plt folder. The last three functions (vbar, ebar, quiv) aid in creating special plot types. The other functions help solve text formating issues that often arise when writing plotting programs.
|
datestr (serial date number to ascii) |
s = plt('datestr',datenum,fmt) is similar to
s = datestr(datenum,fmt) except that it displays the time with 1 millisecond resolution instead of 1 second resolution used by the Matlab datestr function. You should only use formats that include the number of seconds in the result. If fmt is not included in the argument list, format 0 is assumed. For example: a = now; [plt('datestr',a) ' ' datestr(a)] Will respond with something like: 21-Jan-2007 10:28:02.898 21-Jan-2007 10:28:03 Type
help datestr for a description of the allowable
formats. You will find format 13 useful when the date is not required, i.e.
plt('datestr',now,13) which will return something
like: 10:28:02.898 |
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|
metricp   (metric prefixes) |
[Ret1, Ret2] = plt('metricp',x); Used to converts a number to a form using standard metric prefixes. Ret1 is the metric prefix (in Ascii) that is most appropriate for displaying the value x, and Ret2 is the number you should multiply x by. For example, if x is in volts, you can display it using a metric prefix as: [pfix, mult] = plt('metricp',x); |
||||||||||||||||||||||||||||||||||||
|
prin.m (sprintf & fprintf alternative) |
s = prin(fmtstr,OptionalArguments); Converts the OptionalArguments to a string s using the format specified by fmtstr. Note that this does the same thing as sprintf or fprintf (with the same calling sequences) except that prin offers some additional features including four extra formatting codes. prin calls the ftoa function described below to implement the new formatting codes. For a complete description, see prin.pdf (in the main plt folder). |
||||||||||||||||||||||||||||||||||||
|
ftoa.m (float to ascii) |
s = ftoa(fmtstr,x)
returns in string
s an ascii representation of the scalar number
x according to the formatting
string
fmtstr. If fmtstr is of the form '%nW' then s will be the string representation of x with the maximum resolution possible while using at most n characters. If fmtstr is of the form '%nV' then s will be the string representation of x with the maximum resolution possible while using exactly n characters. If fmtstr is of the form '%nw' then s will be the string representation of x with the maximum resolution possible while using at most n characters - not counting the decimal point if one is needed.If fmtstr is of the form '%nv' then s will be the string representation of x with the maximum resolution possible while using exactly n characters - not counting the decimal point if one is needed. The lower case formats (v,w) are typically used to generate strings to fit into gui objects of a fixed width. The reason the decimal point is not counted is that with the proportional fonts generally used in these gui objects, the extra space taken up by the decimal point is insignificant. With all four format types, if the field width is too small to allow even one significant digit, then '*' is returned. fmtstr may also use any of the numeric formats allowed with sprintf. For example:
ftoa('%7.2f',x) is equivalent to
sprintf('%7.2f',x)
|
||||||||||||||||||||||||||||||||||||
|
vbar.m (vertical bar plots) |
This function is used to plot a series of
vertical bars. It doesn't do any plotting itself, but returns an array which
is then plotted using plt (or even plot). For example, suppose you want to
plot 4 vertical bars at x-axis locations 2,3,7,8. Each bar is to start at
y=0 and extend up to y=6,6,5,1 respectively. The following line would meet
this objective: plt(vbar([2 3 7 8],0,[6 6 5 1]); Normally the 3 vbar arguments are the same size, however in this case since the lower y position of each bar is the same, a constant may be used for the 2nd argument. Although you don't have to know this to use it, vbar returns a complex array which is interpreted correctly by plt or plot to display the desired sequence of vertical bars. plt and plot displays complex arrays by plotting the real part of the array along the x-axis and the imaginary part of the array along the y-axis. The trick that vbar uses to display a series of lines with a single array stems from the fact that NaN values (not a number) are not plotted and can be used like a "pen up" command. (The ebar and quiv functions described below use this same trick.) The general form of the vbar function call is: v = vbar(x,y1,y2) If the inputs are row or column vectors, this would return a complex column vector which when plotted with plt or plot would produce a series of vertical bars (of the same color) at x-axis locations given by x. y1 and y2 specify the lower and upper limits of the vertical bar. It doesn't matter whether you list the upper or lower limit first. If y1 is a scalar, vbar expands it to a constant vector of the same size as y2. Suppose you wanted to plot 30 bars of one color (specified by length 30 column vectors xa,ya1,ya2) and 30 bars of a different color (specified by length 30 column vectors xb,yb1,yb2). You could do this with two calls to vbar as in: plt(vbar(xa,ya1,ya2),vbar(xb,yb1,yb2)); That's probably the first way you would think of, but if xa and xb happen to be the same length (as in this case) you can accomplish the same thing with a single call to vbar: plt(vbar([xa xb],[ya1 yb1],[ya2 yb2]); The second form is especially convenient when plotting many bar series (generally each series in a different color). Interestingly, if you use plot instead of plt you must use the second form since the first form will not work. Note that vbar will expand the second argument in either dimension if needed. So for instance in the example above, if ya1 and yb1 were the same you could just use ya1 as the second argument. Or suppose the base (lower limit) of the first series was always 0 and the base of the second series was always -1. Then you could use [0 -1] as the second argument. If the base of all the bars in all the series was the same value, then the second argument may be a scalar. To see vbar in action, look at the example program pltvbar.m in the demo folder. This example also shows the use of the ebar function described below.
|
||||||||||||||||||||||||||||||||||||
|
ebar.m (error bar plots)
|
This function is used to plot a series of vertical bars similar to the above
vbar function with the addition of a small horizontal "T" section on the top and
bottom of each bar. This is commonly used to depict an error bound of a
function, or a range of values that may be achieved by a certain function.
Another difference with vbar is the way the lower and upper y positions of the
bars are specified. With ebar, the first two arguments (x,y) specify a reference
position for each vertical bar, which is normally (but not strictly necessary)
somewhere in the middle of the bar. The third/fourth arguments (l,u) specify the
distance between the reference position and the lower/upper end (respectively)
of the vertical bar. The general form of the ebar function call is: e = ebar(x,y,l,u,dx) The position of the top of the error bars is y+u and the bottom is y-l. The last argument (dx) is a scalar that specifies the width of the horizontal Ts as a percentage of the average x spacing. The last two arguments are optional. If dx is not specified it defaults to 30 (%). If u is not specified it defaults to l (the 3rd argument) in which case the reference coordinates become the midpoints of the error bars. e,x,y,l,u are generally vectors or matrices of the same size, the only exception being that if l or u are constant, the may be scalar. Read the description of vbar above for an explanation of how vector and matrix inputs are interpreted. To see ebar in action, look at the example program pltvbar.m in the demo folder. This example also shows the use of the vbar function described above.
|
||||||||||||||||||||||||||||||||||||
|
quiv.m   (vector plots) |
This function is used to plot a vector fields represented by a set of arrows
with arbitrary head and tail locations. It doesn't do any plotting itself, but
returns an array which is then plotted using plt (or even plot). For example,
suppose you wanted to plot 3 arrows (all in the same color) with tail locations
(4,9) (2,3) and (1,7). Also suppose you wanted each vector to be of length one,
pointing up, down, and the the right respectively. Either of the following lines
would meet this objective: plt(quiv([4;2;1],[9;3;7],[0;0;1],[1;-1;0])); plt(quiv([4+9i;2+3i;1+7i],[1i;-1i;1])); Note that row vectors could have been used instead of column vectors if desired. Now suppose in addition to those 3 vectors, you wanted to plot 3 more vectors (in a second color) with the same tail locations but pointing in the opposite direction. Either of the following lines would meet this objective: plt(quiv([4+9i;2+3i;1+7i],[1i;-1i;1]),quiv([4+9i;2+3i;1+7i],[-1i;1i;-1])); plt(quiv([4+9i;2+3i;1+7i]*[1 1],[1i;-1i;1]*[1 -1])); Of course the equivalent 4 argument (real input) form of quiv could have been used as well. There are 8 possible calling sequences for quiv depending on whether the input arguments are real or complex and on whether the optional arrow head size argument is included. Quiv is smart enough to figure out which calling sequence you are using.
where: Read in the vbar description above how complex values and NaNs are used to generate the desired display. To see quiv in action, look at the example program pltquiv.m in the demo folder.
|


The Knights of Columbus is and always will be a Catholic, Family, Fraternal, Service Organization. Our service programs reflect our involvement and commitment to our Church, Youth, Family, Culture of Life, Community, and Council.
This website and the Program and Membership Guide contains suggested programs for the fraternal year. These guidelines should assist District Deputies, Grand Knights and Council Chairmen in planning their programs. Throughout the year, the State Directors and Chairmen will communicate with you and offer assistance with each program. Feel free to call the Director or Chairman if you have any questions.
Every council’s primary goal should be to attain the Star Council Award. Th achieve this award, a council must meet both membership and insurance quotas plus complete the following programming requirements:
1. Submit Form # 365-
Service Program Personnel Report
by August 1 of the fraternal year.
2. Submit Form # 1728 -Annual Survey of Fraternal Activities
by January 31 of the fraternal year.
3. Submit Form # SP-7 -Columbian Award Application
by June 30 of the fraternal year.
These forms are in the Council Report Forms Booklet supplied to the Grand Knight by the Supreme Council Office. The back of the inside cover of the Program and Membership Guide and this website list suggestions for programs to conduct and include on the Columbian Award Application.
Supreme Council Service Awards will be given to the best single council activity in each of the six programming areas. All scrapbook entries must be forwarded to the appropriate Director by April 1. Remember, an activity may be submitted in only one category. When deciding which category to enter a scrapbook, simply ask: Who benefits from this activity? The answer to this question tells you which category to enter the scrapbook.
All Brother Knights are invited to join together with the State Officers, Directors, Chairmen, Insurance and Membership Teams to ensure a successful year. Working together, we can achieve our goal of making Kansas #1 in Programming and Membership.
Remember, we are “First and Always Catholic” and with God’s help, we will experience an exciting and successful year.
© Knights of Columbus - Kansas State Council
For comments or questions please email webmaster@kansas-kofc.org


Blade by Curtis Edmonds --<EMAIL_ADDRESS>Of the major horror sub-genres, vampire movies are easily the most adaptable. Think about it. Frankenstein movies haven't changed all that much because they still need that mad-scientist-in-Bavarian-castle setting. If you made a Frankenstein movie today, you'd have to have the monster be a virus or something -- and outside of Michael J. Fox, there aren't any actors that could play a virus convincingly. Movies about mummies would still have to be set in Egypt. There's not much you can do with werewolves except take them to London or Paris, unless you want to have a teenage werewolf or something. (And there's that Michael J. Fox thing again.)
But you can have vampires do anything, and you can place them in any genre you want, just about. You can have traditional vampire movies (Bram Stoker's Dracula) or have the Anne Rice version (Interview with the Vampire), or play it for laughs (Vampire in Brooklyn). You can put vampires in locales from sunny Southern California (The Lost Boys) to squalid Mexican dives (From Dusk Till Dawn) to your local high school (Buffy, the Vampire Slayer). Were it not redundant, you could have a movie about a law firm full of vampires. Any day now, I expect we'll see a movie about a vampire third baseman who has to decide whether to play a day game in order to break the home run record.
Or, you can insert the vampire legend into a Hong Kong action movie -- and when you do that, you get Blade. Wesley Snipes has the Chow Yun Fat role in this movie -- the silent, expressionless hit man who destroys everything in his path. In this case, the everything happens to be vampires that explode into CGI shards instead of dead, bleeding corpses.
Snipes has less to say here than as the fugitive in U.S. Marshals, but does a demonstrably better job here as a half-vampire wreaking vengeance on the bloodsuckers. Blade is a silent, brooding presence, laying waste to vampires without a shred of remorse. He is as cold as his silver-bladed sword, as single minded as his garlic-filled bullets. Yet, he's not without quirks: Blade drives a battered muscle car and has to glean Rolex watches from his vampire victims in order to stay solvent.
Like any good Hong Kong movie, Blade is heavy on the chopsocky action. For some reason, Blade spends a lot more time using his kung fu artistry than using the traditional anti-vampire weapons of garlic and silver. (Blade dismisses a man-portable arc lamp as being too heavy, although it looks to be a more efficient tool to dispatch vampires.) Unfortunately, the guiding hand of John Woo is absent from this film, relegating Blade to the status of The Replacement Killers, which it most strongly resembles.
The Replacement Killers is the last movie I saw that I didn't review -- mostly because it made no impression on me, and I couldn't remember anything other than noise, violence, and the intensity of Fat's performance. Blade has a little more going for it, and has the vampire myth to draw from -- but other than that, it's the same kind of movie -- exciting, with well choreographed action scenes, but with no resonance.
With a stronger villain (Stephen Dorff is (pardon the pun) curiously bloodless as the head vampire, leaving us to wonder what Denis Leary might have done with the role), a wittier script, and a strong supporting cast, Blade might have been able to rise beyond the level of commonplace summer entertainment. As it is, Blade is an average action movie that serves to do nothing but remind us that the summer movies just keep getting dumber and the vampire movies just keep multiplying.
Rating: B
--
-- Curtis Edmonds<EMAIL_ADDRESS>Movie Reviews: http://us.imdb.com/M/reviews_by?Curtis+Edmonds
Hollywood Stock Exchange: http://www.hsbr.org/brokers/blueduck/
"Tabasco sauce is to bachelor cooking what forgiveness is to sin."
-- P.J. O'Rourke
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% load static %}
Automation or automatic control is the use of various control systems for operating equipment such as machinery processes in factories, boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships aircraft and other applications and vehicles with minimal or reduced human ...


This page includes the default horizontal list object styles
Horizontal List usage
Horizontal List should be used whenever you need to make an ordered or unordered list horizontal instead of vertical. You can extend it with '--delimited' to semantically mark up a character delimited list for things like tags, etc. You can also center, right align, or fill the available space.
Default styles
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Character delimited styles
- Sass
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Character delimited override
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Centered styles
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Right aligned styles
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Left aligned styles (same as default)
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Fill styles
- Sass
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Racket is 25 posted by Matthias Felleisen and Matthew Flatt The First Thoughts [Matthias]: Wednesday 25 January 1995: POPL used to be a Monday-through-Wednesday-noon affair. Cormac Flanagan presented his future paper there (a static analysis on how to eliminate i...
Writing More Succinct C# - Dan Clarke When looking at a lot of C# code nowadays, I find myself thinking "wow, that code could be made SO MUCH SMALLER!". C# is a very flexible language, allowing you to write clean and functional code, but also very bloated code.
Sunday 10th May | Live | Slough Baptist Church Thanks for joining us this morning! If you’re watching live then join us after the service for chat, discussion and prayer on Zoom. https://zoom.us/j/4677103997 You can find downloads we’ll be mentioning this morning on our website https://sloughbaptist...
From the Implicit flow to PKCE: A look at OAuth 2.0 in SPAs In this article, we investigate the decision to deprecate the Implicit flow and look at current best practices for using OAuth 2.0 in modern web applications.
The IBM 1401 compiles and runs FORTRAN II We attempt to compile and run a simple FORTRAN program on our vintage 1959 IBM mainframe computer at the Computer History Museum. FORTRAN is a big stretch for this business oriented machine, with 16k memory and a CPU not meant at all for scientific appli...
Godot Engine - Godot 4.0 will get a new, modernized lightmapper In most game engines, a lightmap is baked for a whole scene and there is only one of it at the same time. In Godot, different scenes can have their own ligthmaps and you can mix and match them however you like.
https://nothings.org/gamedev/hashing/ A lot of times when you see someone report some result about hashing, you have to wonder if they've even picked the optimal form of hashing to try to improve (see, for instance, results about Robin Hood hashing).
Alternatives to PGP As part of my book's chapter on end-to-end encryption I've been writing about the horrors of PGP. As a recap of what's bad with PGP: No authenticated encryption. This is my biggest issue with PGP personally. Receiving a signed message means nothing about...
Cryptology ePrint Archive: Report 2018/607 SEEMless: Secure End-to-End Encrypted Messaging with less trust
Convincing-looking 90s fonts in modern browsers – Vistaserv.net The Vistaserv webmasters take you on a journey to create pixel-perfect renditions of vintage fonts on the modern web.
( Secret Sky. ) Porter Robinson's Secret Sky Digital Auditorium: visit this custom-built interactive experience with viewers from all around the world.
How Khan Academy Successfully Handled 2.5x Traffic in a Week We're the engineers behind Khan Academy. We're building a free, world-class education for anyone, anywhere.
First, it was Craigslist, next it's Zapier Top image cover is from https://thegongshow.tumblr.com/post/345941486/the-spawn-of-craigslist-like-most-vcs-that-focus As I delve deeper into the no-code space I see a lot of Zapier, Integromat and Tray.io workflows. Some of these are actually quite compl...


Cheesecake Order Form
Please make your order here.
Topping:
Plain
Chocolate
Strawberry
Quantity:
1
2
3
4
5
6
Notes:
Add in additional notes for your order.
Place Order
Statistics (Cake toppings ordered on month)
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sept
Oct
Nov
Dec
Plain: 3
Chocolate: 17
Strawberry: 11


Access method specific information is provided to db_open using the DB_INFO data argument. The DB_INFO structure has a large number of fields, most specific to a single access method, although a few are shared. The fields that are common to all access methods are listed here; those specific to an individual access method are described below. No reference to the DB_INFO structure is maintained by Berkeley DB, so it is possible to discard it as soon as the db_open call returns.
In order to ensure compatibility with future releases of Berkeley DB, all fields of the DB_INFO structure should be initialized to 0 before the structure is used. Do this by declaring the structure external or static, or by calling the C library function bzero(3) or memset(3).
If possible, defaults appropriate for the system are used for the DB_INFO fields if dbinfo is NULL or any fields of the DB_INFO structure are set to 0. The following DB_INFO fields may be initialized before calling db_open:
Note, the minimum number of pages in the cache should be no less than 10, and the access methods will fail if an insufficiently large cache is specified. In addition, for applications that exhibit strong locality in their data access patterns, increasing the size of the cache can significantly improve application performance.
For information on tuning the Berkeley DB cache size, see
Selecting a cache size.
The value of db_lorder is ignored except when databases are being
created.
If a database already exists, the byte order it uses is determined when
the file is read.
The access methods provide no guarantees about the byte ordering of the
application data stored in the database,
and applications are responsible for maintaining any necessary ordering.
For information on tuning the Berkeley DB page size, see
Selecting a page size.
On systems where there may be multiple library versions of malloc (notably
Windows NT), specifying the DB_DBT_MALLOC flag will fail because
the Berkeley DB library will allocate memory from a different heap than the
application will use to free it.
To avoid this problem, the db_malloc field should be set to
point to the application's allocation routine.
If db_malloc is non-NULL, it will be used to allocate the memory
returned when the DB_DBT_MALLOC flag is set.
The db_malloc function must match the calling conventions of the
malloc(3) library routine.
The following additional fields and flags may be initialized in the DB_INFO structure before calling db_open, when using the Btree access method:
The data and size fields of the DBT are the only fields that may be used for the purposes of this comparison.
If bt_compare is NULL, the keys are compared lexically, with
shorter keys collating before longer keys.
The data and size fields of the DBT are the only fields
that may be used for the purposes of this comparison.
This function is used to compress the keys stored on the btree internal
pages. The usefulness of this is data dependent, but in some data sets
can produce significantly reduced tree sizes and search times.
If bt_prefix is NULL, and no key comparison function
is specified, a default lexical comparison function is used for
prefix compression. If bt_prefix is NULL and a key
comparison function is specified, no prefix compression is done.
It is an error to specify a prefix compression function without
also specifying a key comparison function.
Specifying that duplicates are to be sorted changes the behavior of the
DB->put operation as well as the DBcursor->c_put operation when
the DB_KEYFIRST, DB_KEYLAST and DB_CURRENT
flags are specified.
Logical record numbers in btrees are mutable in the face of record
insertion or deletion.
See the DB_RENUMBER flag in the RECNO section below for further discussion.
Maintaining record counts within a btree introduces a serious point of
contention, namely the page locations where the record counts are stored.
In addition, the entire tree must be locked during both insertions and
deletions, effectively single-threading the tree for those operations.
Specifying DB_RECNUM can result in serious performance degradation for
some applications and data sets.
It is an error to specify both DB_DUP and DB_RECNUM.
The following additional fields and flags may be initialized in the DB_INFO structure before calling db_open, when using the hash access method:
If a hash function is specified, hash_open will attempt to determine
if the hash function specified is the same as the one with which the database
was created, and will fail if it detects that it is not.
Specifying that duplicates are to be sorted changes the behavior of the
DB->put operation as well as the DBcursor->c_put operation when
the DB_KEYFIRST, DB_KEYLAST and DB_CURRENT
flags are specified.
The following additional fields and flags may be initialized in the DB_INFO structure before calling db_open, when using the recno access method:
If the re_source field is non-NULL, it specifies an underlying flat
text database file that is read to initialize a transient record number index.
In the case of variable length records, the records are separated by the byte
value re_delim.
For example, standard UNIX byte stream files can be interpreted as a sequence
of variable length records separated by
In addition, when cached data would normally be written back to the underlying
database file (e.g., the close(2) or sync functions are
called), the in-memory copy of the database will be written back to the
re_source file.
By default, the backing source file is read lazily, i.e., records are not read
from the file until they are requested by the application.
If multiple processes (not threads) are accessing a recno database
concurrently and either inserting or deleting records,
the backing source file must be read in its entirety before more than
a single process accesses the database,
and only that process should specify the backing source file as part
of the db_open call.
See the DB_SNAPSHOT flag below for more information.
Reading and writing the backing source file specified by re_source
cannot be transactionally protected because it involves filesystem
operations that are not part of the Berkeley DB transaction methodology.
For this reason, if a temporary database is used to hold the records,
i.e., a NULL was specified as the file argument to
db_open, it is possible to lose the contents of the
re_source file, e.g., if the system crashes at the right instant.
If a file is used to hold the database, i.e., a file name was specified
as the file argument to db_open, normal database recovery
on that file can be used to prevent information loss, although it is still
possible that the contents of re_source will be lost if the system
crashes.
The re_source file must already exist (but may be zero-length) when
db_open is called.
For all of the above reasons, the re_source field is generally used
to specify databases that are read-only for Berkeley DB applications, and that are
either generated on the fly by software tools, or modified using a different
mechanism, e.g., a text editor.
Any records added to the database that are less than re_len
bytes long are automatically padded.
Any attempt to insert records into the database that are greater than
re_len bytes long will cause the call to fail immediately and
return an error.
Using the DB->put or DBcursor->c_put interfaces to create
new records will cause the creation of multiple records if the record number
is more than one greater than the largest record currently in the database.
For example, creating record 28, when record 25 was previously the last record
in the database, will create records 26 and 27 as well as 28.
Attempts to retrieve records that were created in this manner will result in
an error return of DB_KEYEMPTY.
If a created record is not at the end of the database,
all records following the new record will be automatically renumbered
upward by 1.
For example,
the creation of a new record numbered 8 causes records numbered 8 and
greater to be renumbered upward by 1.
If a cursor was positioned to record number 8 or greater before the insertion,
it will be shifted upward 1 logical record,
continuing to reference the same record as it did before.
For these reasons, concurrent access to a recno database with the DB_RENUMBER
flag specified may be largely meaningless, although it is supported.


HPC and Big Data
on demand:
Cluster On Demand
(road to anything on demand)
Jonathan Muller
www.brightcomputing.com
Clouds are cool, however...
... there's a gap in the 'on demand' or 'as a service' approach.
The gap
| we have |
gap |
(power) users want |
|
Sahara (Hadoop as a Service)
Magnum (Containers ...)
Murano (Application catalog)
...
|
|
better monitoring
power
flexibility
freedom
speed
x-interaction
Anything on demand (XoD)
|
Cluster On Demand
closes that gap
Agenda
Cluster On Demand from 10,000ft
Usecases
Clusters 101
Cluster On Demand from 1,000ft
Architecture
Implementation
Q&A
What is CoD? It allows you to:
provision entire environments (clusters)...
... HPC, Hadoop, Spark, OpenStack, Ceph, ...
... with advanced management, rescaling...
... monitoring, alerting...
... and one pane of glass to rule them all.
Example
Deploy Spark, Hadoop on the same virtual cluster (same set of VMs). Add Ceph and OpenStack. Extend.
The big deal?
saves times (entire cluster in minutes)
500-node Bright OpenStack cluster
agility
correlate metrics between components
empower the users (flexibility)
consolidate and isolate (compliance)
easily scale (e.g. add HDFS, or Ceph OSD vms)
Cluster management software
Bright OpenStack (Bright Cluster Manager)
Turns a pile of hardware into a fully functional HPC/Hadoop/OpenStack/X cluster
Used by hundreds of customers
Deploy, manage, monitor entire stack
(from physical hardware, up to services in VMs)
Why CoD? Clusters, clusters, clusters...
... for Dev, QA, Support, etc.
5+ years ago: physical machines
5 years ago: kvm + scripts
2 years ago: Bright OpenStack + scripts
Turns out many of our customers have similar needs
now: OpenStack + Heat + CoD (Cluster On Demand)
Other usecases
Training environments
R&D
Virtualized labs
Security, compliance (e.g. sensitive data in HPC)
Demanding users
Hybrid HPC (same workload across physical and virtual)
Clusters
(wikipedia) A computer cluster consists of a set of loosely or tightly connected computers that work together so that, (...), they can be viewed as a single system.
cluster = Headnode(s) + general purpose nodes
cluster = Headnode(s) + compute(HPC) / Hypervisor(kvm) / storage(ceph) /... nodes
Clusters need to be managed
Using Cluster On Demand
(CoD)
CoD is a platform for XoD
| distributions |
packages |
cluster manager |
Red Hat 6.0-7.1
CentOS 6.0-7.1
SL 6.0-7.1
SLES 11 sp1-4
SLES 12
|
HPC packages
Hadoop
Spark
Ceph
Kubernetes
OpenStack
OpenStack + Ceph
OpenStack + Ceph + Hadoop
default (R&D)
...
|
BCM 6.0
BCM 7.0
BCM 7.1
BCM trunk
...
|
Example usage:
$ cod cluster create -m cod.large -s cod.medium -n 2 jm-cluster \
--distro CENTOS7u2 \
--version 7.1 \
--package-groups openstack ceph \
--postbs myscript.py
$ # wait 3-4mins, grab quickly a coffee
$ ssh root@jm-cluster
Anything on demand
CoD + X = XoD
e.g. CoD + Hadoop = Hadoop-oD
OpenStack on demand
Ceph on demand
HPC ...
Kubernetes ...
Example: HPC on demand (HPCoD)
Every on demand cluster comes with
Libraries (e.g. MPI, OpenMP, CUDA)
Tools, compilers (e.g. GCC, Intel)
Workload managers (e.g. Slurm, LSF, Torque, Grid Engine)
Example: Kubernetes on demand (KoD)
Deployed and preconfigured Kubernetes
1 master server
1 etcd instance
n kubelet services running on individual nodes
Transparent pod networking config using flanneld
Automatic deployment of pods
Easily scalable by adding a new node to the Kubernetes Slave node category
Implementation
How it's made
Implementation (physical layer)
OpenStack + Ceph* + Heat + python
user runs a script (or Horizon)
script creates a Heat stack
stack passed to Heat (create infra)
install virtual Headnode
PXE boot from physical cluster, or
use a pre-provisioned Cinder Volume (CoW)
install virtual nodes (PXE boot from virtual headnode)
(CoD) customize generic cluster (e.g. install Hadoop / OpenStack / HPC Workload / Kubernetes / Docker)
How? Krusty the cloud
Our own, dogfooded, R&D and QA, Ceph/OpenStack based, cloud
35 nodes
3 controller nodes (hosting API server + Galera DB) (kvm)
1 network node (kvm)
18 hypervisor nodes (kvm)
10 ceph OSD nodes, 3 ceph Monitor nodes
~400 vms, across ~100 virtual clusters (HPC, Hadoop, OpenStack, Ceph, Spark, Kubernetes, ...)
Ceph's role
- single storage backend
- ceph used for Glance, Nova, Cinder
- copy-on-write of snapshots/volumes
- ceph FS is coming (and so is easy sharing data between clusters)
- cluster snapshots (nightly builds)
- live migration (don't mix shared/non-shared backends)
Q&A and huge Thank you!
Jonathan Muller, Container Integration Lead
Visit us at www.brightcomputing.com/products


Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?
Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?
Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?
Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?
Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?
Kids, you tried your best and you failed miserably. The lesson is, never try. I've done everything the Bible says — even the stuff that contradicts the other stuff! Donuts. Is there anything they can't do?


Dow, S&P 500 hit record closes as investors digest trade news
The Dow and S&P 500 notched record closing highs on Thursday as the latest signs of progress in U.S.-China trade relations relieved investors, but a report raising fresh worries about the outlook for a deal limited the day's gains.
NEW YORK: The Dow and S&P 500 notched record closing highs on Thursday as the latest signs of progress in U.S.-China trade relations relieved investors, but a report raising fresh worries about the outlook for a deal limited the day's gains.
Based on the latest available data, the Dow Jones Industrial Average rose 182.44 points, or 0.66per cent, to 27,675, the S&P 500 gained 8.42 points, or 0.27per cent, to 3,085.2 and the Nasdaq Composite added 23.89 points, or 0.28per cent, to 8,434.52.
(Reporting by Caroline Valetkevitch; Editing by Chris Reese)


Generate a polygon
[source]
Settings
Width (in pixels)
Number of vertices
Generate
Output
// Create your poly using the form to the left.
Preview


Interactive and easy site with all authorized data and fully transaprent. Experience an excellent class experience.
For use of regular class sessions and avoid unnecessory distraction while attending lectures.
Only use for students when taking an exam to enforce academic integrity


The Environment Canada climate archives <http://climate.weather.gc.ca/> are an important source of data for climate researchers in Canada and world wide. The repository contains temperature, precipitation, and wind data for more than 8,000 locations. The functions in this package simplify the process of downloading, subsetting, and manipulating these data for the purposes of more efficient workflows in climate research.
| Version: | 1.0.2 |
| Depends: | R (≥ 2.10) |
| Imports: | digest, httr, prettymapr, reshape2, lubridate, mudata2, dplyr (≥ 0.7.0), stringr, readr, tibble, purrr, tidyr (≥ 0.7.0), magrittr, rlang |
| Suggests: | ggplot2, testthat, covr, knitr, rmarkdown, curl, jsonlite |
| Published: | 2018-06-11 |
| Author: | Dewey Dunnington |
| Maintainer: | Dewey Dunnington <dewey at fishandwhistle.net> |
| BugReports: | https://github.com/paleolimbot/rclimateca/issues |
| License: | GPL-3 |
| URL: | https://github.com/paleolimbot/rclimateca |
| NeedsCompilation: | no |
| CRAN checks: | rclimateca results |
| Reference manual: | rclimateca.pdf |
| Vignettes: |
ec_climate |
| Package source: | rclimateca_1.0.2.tar.gz |
| Windows binaries: | r-devel: rclimateca_1.0.2.zip, r-release: rclimateca_1.0.2.zip, r-oldrel: rclimateca_1.0.2.zip |
| OS X binaries: | r-release: rclimateca_1.0.2.tgz, r-oldrel: rclimateca_1.0.2.tgz |
| Old sources: | rclimateca archive |
Please use the canonical form https://CRAN.R-project.org/package=rclimateca to link to this page.


About us
Learn about Oakton Robotics
Learn about Oakton Robotics
Here is some information about FRC-623
Our FTC teams
The business team helps keep everyone organized and manages outreach events
As a team, we want to spread STEM to younger students
Current members of the Oakton Robotics team.
What is FIRST?
Resources for current and prospective members
Want To Sponsor Us?
We rely on generous sponsors to help keep our team running smoothly.
Click here to view our latest Current article of the Oakton Cougar Robotics
Here our the awards that we have won in the past years
Here our are our historic events since 2017


“Esa bhiyyo pasīdāmi,
sutvā dhammaṁ mahārasaṁ;
Virāgo desito dhammo,
anupādāya sabbaso”.

Dispassion is what was taught,
without any grasping at all.”
“Bahūni loke citrāni,
asmiṁ pathavimaṇḍale;
Mathenti maññe saṅkappaṁ,
subhaṁ rāgūpasaṁhitaṁ.
“There are so many pretty things
in this wide open land.
They disturb one’s thoughts, it seems to me,
attractive, provoking lust.
Rajamuhatañca vātena,
yathā meghopasammaye;
Evaṁ sammanti saṅkappā,
yadā paññāya passati.
Just as a rain cloud would settle
the dust blown up by the wind,
so thoughts settle down
when seen with wisdom.
Sabbe saṅkhārā aniccāti,
yadā paññāya passati;
Atha nibbindati dukkhe,
esa maggo visuddhiyā.
All conditions are impermanent—
when this is seen with wisdom
one grows disillusioned with suffering:
this is the path to purity.
Sabbe saṅkhārā dukkhāti,
yadā paññāya passati;
Atha nibbindati dukkhe,
esa maggo visuddhiyā.
All conditions are suffering—
when this is seen with wisdom
one grows disillusioned with suffering:
this is the path to purity.
Sabbe dhammā anattāti,
yadā paññāya passati;
Atha nibbindati dukkhe,
esa maggo visuddhiyā.
All principles are not-self—
when this is seen with wisdom
one grows disillusioned with suffering:
this is the path to purity.
Buddhānubuddho yo thero,
koṇḍañño tibbanikkamo;
Pahīnajātimaraṇo,
brahmacariyassa kevalī.
The senior monk who was awakened right after the Buddha,
Koṇḍañña, is keenly energetic.
He has given up birth and death,
and has completed the spiritual journey.
Oghapāso daḷhakhilo,
Pabbato duppadālayo;
Chetvā khilañca pāsañca,
Selaṁ bhetvāna dubbhidaṁ;
Tiṇṇo pāraṅgato jhāyī,
Mutto so mārabandhanā.
There are floods, snares, and strong posts,
and a mountain hard to crack;
snapping the posts and snares,
breaking the mountain so hard to break,
crossing over to the far shore,
one practicing absorption is freed from Māra’s bonds.
Uddhato capalo bhikkhu,
mitte āgamma pāpake;
Saṁsīdati mahoghasmiṁ,
ūmiyā paṭikujjito.
When a mendicant is haughty and fickle,
relying on bad friends,
they sink down in the great flood,
overcome by a wave.
Anuddhato acapalo,
nipako saṁvutindriyo;
Kalyāṇamitto medhāvī,
dukkhassantakaro siyā.
But one who is steady and stable,
alert, with senses restrained,
intelligent, with good friends,
makes an end of suffering.
Kālapabbaṅgasaṅkāso,
kiso dhamanisanthato;
Mattaññū annapānasmiṁ,
adīnamanaso naro.
With knobbly knees,
thin and veiny,
eating and drinking in moderation—
this person’s spirit is undaunted.
Phuṭṭho ḍaṁsehi makasehi,
araññasmiṁ brahāvane;
Nāgo saṅgāmasīseva,
sato tatrādhivāsaye.
Pestered by flies and mosquitoes
in the wilds, the formidable forest,
one should mindfully endure,
like an elephant at the head of the battle.
Nābhinandāmi maraṇaṁ,
…
pe…
nibbisaṁ bhatako yathā.
I don’t long for death;
I don’t long for life;
I await my time,
like a worker waiting for their wages.
Nābhinandāmi maraṇaṁ,
…
pe…
sampajāno patissato.
I don’t long for death;
I don’t long for life;
I await my time,
aware and mindful.
Pariciṇṇo mayā satthā,
…
pe…
bhavanetti samūhatā.
I’ve served the teacher
and fulfilled the Buddha’s instructions.
The heavy burden is laid down,
the attachment to rebirth is eradicated.
Yassa catthāya pabbajito,
agārasmānagāriyaṁ;
So me attho anuppatto,
kiṁ me saddhivihārinā”ti.
… Aññāsikoṇḍañño thero ….
I’ve attained the goal
for the sake of which I went forth
from the lay life to homelessness—
what use do I have for pupils?”


Want to work with us?
Your project is very important to us.


sqlite¶
SQLite is an open-source library that provides a lightweight disk-based database.
sqlite it doesn’t require a separate server process
allows accessing the database using a nonstandard variant of the SQL query language.
provides a SQL interface compliant with the python’s DB-API 2.0 specification described by PEP 249.
applications can use SQLite for internal data storage. It’s also possible to prototype an application using SQLite and then port the code to a larger database such as PostgreSQL or Oracle.
To use the module, you must first create a Connection
object that represents the database.
a connection object’s key methods are:
cursor()
returns a cursor object that can execute queries and retrieve resultscommit()
submits the current transaction to the DB. If you don’t call this method, anything you did since the last call to commit() is not visible from other database connections. If you wonder why you don’t see the data you’ve written to the database, please check you didn’t forget to call this method.rollback()
rolls back any changes to the database since the last call to commit().close()
closes the database connection. Note that this does not automatically call commit(). If you just close your database connection without calling commit() first, your changes will be lost!
in our example the data will be stored in a local file called example.db
:
import sqlite3
conn = sqlite3.connect('example.db')
You can also supply the special name
:memory:
to create a database in RAM.
Once you have a Connection, you can create a Cursor
object and call its execute()
method to perform SQL commands:
c = conn.cursor()
# Create table called stocks
c.execute('''
CREATE TABLE stocks (
date text,
trans text,
symbol text,
qty real,
price real
)
''')
# Save (commit) the changes
conn.commit()
---------------------------------------------------------------------------
OperationalError Traceback (most recent call last)
<ipython-input-2-7dd1553262cf> in <module>
10 price real
11 )
---> 12 ''')
13
14 # Save (commit) the changes
OperationalError: table stocks already exists
# We can also close the connection if we are done with it.
# Just be sure any changes have been committed or they will be lost.
conn.close()
since we don’t want to forget closing the connection, here’s a nice utility function that opens a connection and returns a handy cursor object
from contextlib import contextmanager
@contextmanager
def sqlite3_connect(database, *args, **kwargs):
conn = sqlite3.connect(database, *args, **kwargs)
try:
cursor = conn.cursor()
yield (conn, cursor)
finally:
conn.close()
and here’s how sqlite3_connect()
can be used:
with sqlite3_connect('example.db') as [conn, c]:
# Insert a row of data
c.execute("INSERT INTO stocks VALUES ('2008-01-05','BUY','AAPL',120,37.14)")
# Save (commit) the changes
conn.commit()
# closing is done for us
Usually your SQL operations will need to use values from Python variables like people’s names, and fields from forms.
DO NOT assemble your SQL using Python’s string operations because doing so is insecure; it makes your program vulnerable to an SQL injection attack
Instead, use the API’s parameter substitution - Put ? as a placeholder wherever you want to use a value, and then provide a tuple of values as the second argument to the cursor’s execute() method.
with sqlite3_connect('example.db') as [conn, c]:
# DO NOT use str.format or f-strings or any other way to embed your variables into strings
# INSTEAD, use the sanitized substitution capability of the execute() function
t = ('RHAT',)
c.execute('SELECT * FROM stocks WHERE symbol=?', t)
print(c.fetchone())
# Larger example that inserts many records at a time
purchases = [('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
('2006-04-06', 'SELL', 'IBM', 500, 53.00),
]
c.executemany('INSERT INTO stocks VALUES (?,?,?,?,?)', purchases)
conn.commit()
None
To retrieve data after executing a SELECT statement, you can treat the cursor as an iterator:
with sqlite3_connect('example.db') as [conn, c]:
for row in c.execute('SELECT * FROM stocks ORDER BY price'):
print(row)
(('date', None, None, None, None, None, None), ('trans', None, None, None, None, None, None), ('symbol', None, None, None, None, None, None), ('qty', None, None, None, None, None, None), ('price', None, None, None, None, None, None))
('2006-03-28', 'BUY', 'IBM', 1000.0, 45.0)
(('date', None, None, None, None, None, None), ('trans', None, None, None, None, None, None), ('symbol', None, None, None, None, None, None), ('qty', None, None, None, None, None, None), ('price', None, None, None, None, None, None))
('2006-04-06', 'SELL', 'IBM', 500.0, 53.0)
(('date', None, None, None, None, None, None), ('trans', None, None, None, None, None, None), ('symbol', None, None, None, None, None, None), ('qty', None, None, None, None, None, None), ('price', None, None, None, None, None, None))
('2006-04-05', 'BUY', 'MSFT', 1000.0, 72.0)
you can also call the cursor’s
fetchone()
method to retrieve a single matching row, or callfetchall()
to get a list of the matching rows.
Table metadata¶
We can access all the tables, their fields and their types using a simple query
with sqlite3_connect('example.db') as [conn, c]:
rs = c.execute(
"""
SELECT name, sql FROM sqlite_master
WHERE type='table'
ORDER BY name;
""")
for name, sql, *args in rs:
print(name)
print(sql)
stocks
CREATE TABLE stocks (
date text,
trans text,
symbol text,
qty real,
price real
)
test
CREATE TABLE test(
p
)
SQLite and Python types¶
SQLite natively supports the following types: NULL
, INTEGER
, REAL
, TEXT
, BLOB
.
The following Python types can thus be sent to SQLite without any problem:
Python type |
SQLite type |
|---|---|
None |
NULL |
int |
INTEGER |
float |
REAL |
str |
TEXT |
bytes |
BLOB |
SQLite supports only a limited set of types natively. To use other Python types with SQLite, you must adapt them to one of the sqlite3 module’s supported types for SQLite: one of NoneType
, int
, float
, str
, bytes
.
Custom types¶
there are two ways to read/write objects from a database:
encoding the object into a text/blob column using some format (often JSON)
converting objects into tables rows (respecting foreign keys as potential links to other objects)
with a DB-API based SQL interface like sqlite3, both of these methods can contain a lot of boiler plate code and so we will leave them out of thid tutorial
pyodbc¶
pip install pyodbc
pyodbc is a python-ODBC bridge library that also supports the DB-API 2.0 specification. and can connect to a vast number of databases, including MS SQL Server, MySQL, PostgreSQL, Oracel, Google Big Data, SQLite, among others.
supporting the DB-API 2.0 means that code that uses pyodbc can look almost identical to code using SQLite
Open Database Connectivity (ODBC) is the standard that allows using identical (or at least very similar) SQL statements for querying different Databases (DBMS). The designers of ODBC aimed to make it independent of database systems and operating systems.
ODBC accomplishes DBMS independence by using an ODBC driver as a translation layer between the application and the DBMS. The driver often has to be installed on the client operating system
Example connections¶
to connect to a DB, your often need to know the server/IP it is running on, the name of the datanase, and username/password to access the databse
import pyodbc
server = "your_server"
db = "your_db"
user = "your_user"
password = "your_password"
MS SQL Server¶
connection_str = \
'DRIVER={ODBC Driver 17 for SQL Server};' + \
f'SERVER={server};'\
f'DATABASE={db};'\
f'UID={user};' \
f'PWD={password}'
print(connection_str)
# # Connect to MS SQL Server
# conn = pyodbc.connect(connection_str)
DRIVER={ODBC Driver 17 for SQL Server};SERVER=your_server;DATABASE=your_db;UID=your_user;PWD=your_password
MySQL¶
connection_str = \
"DRIVER={MySQL ODBC 3.51 Driver};" \
f"SERVER={server};" \
f"DATABASE={db};"\
f"UID={user};"\
f"PASSWORD={password};"
print(connection_str)
# # Connect to MySQL
# conn = pyodbc.connect(connection_str)
DRIVER={MySQL ODBC 3.51 Driver};SERVER=your_server;DATABASE=your_db;UID=your_user;PASSWORD=your_password;
SQLite¶
We don’t to connect to SQLite via ODBC, because python can use these databases directly.
however, if we want to show this as a demo, we need to install the SQLite ODBC driver
For Windows, you can get the SQLite ODBC driver here. Download “sqliteodbc.exe” if you are using 32-bit Python, or “sqliteodbc_w64.exe” if you are using 64-bit Python.
db="example.db"
connection_str = \
"Driver=SQLite3 ODBC Driver;" \
f"Database={db}"
print(connection_str)
conn = pyodbc.connect(connection_str)
c = conn.cursor()
for row in c.execute('SELECT * FROM stocks ORDER BY price'):
print(row)
Driver=SQLite3 ODBC Driver;Database=example.db
('2006-03-28', 'BUY', 'IBM', 1000.0, 45.0)
('2006-04-06', 'SELL', 'IBM', 500.0, 53.0)
('2006-04-05', 'BUY', 'MSFT', 1000.0, 72.0)


--- layout: post status: publish published: true title: Orchestration Designer author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 966 wordpress_url: http://winterdom.com/2003/05/orchestrationdesigner date: '2003-05-28 13:00:25 +0000' date_gmt: '2003-05-28 13:00:25 +0000' categories: - Tools tags: [] comments: - id: 679 author: sean author_email<EMAIL_ADDRESS>author_url: http://www.slavin.org date: '2003-05-28 14:17:23 +0000' date_gmt: '2003-05-28 14:17:23 +0000' content: |
Misunderstood the screenshot then. There is interactive debugging in the new BizTalk stuff. I'd post a couple of screenshots but that'd probably be a violation of something or other.
- id: 680 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://www.winterdom.com/weblog date: '2003-05-30 09:47:10 +0000' date_gmt: '2003-05-30 09:47:10 +0000' content: |That sounds cool... Thanks for the heads up Sean :)
---On a comment to my earlier entry, Sean mentions Biztalk's Orchestration Designer. I haven't seen what's on the Biztalk 2004's OD, but at least the one on 2002 is far different than what I showed in my screenshot of Collaxa's BPEL Server.
What I showed on my earlier screenshot was not how to design BPEL flows for Collaxa, but rather their tracing and debugging console, which allows you to visualize an instance of the flow in a graphical representation, see what actions have been executed, what messages have been sent and what has been received, and so on. This is, imho, a very easy to use and very powerful tool, far beyond the design-time only experience Biztalk's Orchestration Designer offered.
But if that changes for the next release of biztalk, well, all for the better :)


First Elder Lockirin:
Patience and dedication are essential if you intend to master a skill. You must remember this as you continue your practice. You are not yet ready for this quest.
(Artisans of level 39 and above may undertake this quest.)


A* Waypoints Demo
The Algorithmist::A* Waypoints Demo.
Edit the nodes as well as start/target waypoints in the JS to change the demo. Network is drawn in white; the optimal path is drawn in red.


If you wish to use all 3 plugins at the same time, you might encounter some issues with row selections. Since the Row Manager Plugin also uses the selected rows array to move multiple row at once, you could if you to simply make the Row Move plugin to only allow 1 row be moved at a time, doing this will make the 2 plugins work nicely together without any clashing. The options you will want to use for that would these 2 options to predefine while instantiating the Row Move Manager Plugin ({ singleRowMove: true, disableRowSelection: true })
The RowMoveManager Plugin can be configured with an "usabilityOverride" which will make the row moveable or not depending on a custom override callback that can be provided by the user (all 3 plugins have such override). Also don't forget to also configure a custom formatter that will follow the same logic of when to show the icon. For example this demo makes the row moveable only on every second row.


Previous
Lotto Pool
Start Over
Choose Name
Michael
James
Jorge
Choose Game
Lotto Texas
Mega Millions
Power Ball
Choose Numbers
Pick Randomlly
Pick Manually
Picked Numbers:
Mega/Power Ball:
Submit Numbers
Who's turn
Show History
Buyer/date
James' #
Michael's #
Jorge's #
Jorge
12/12/2018
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5-5-5-5-5-5
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