Temperatures drop to minus 10C on coldest autumn night this year
According to the Met Office, the mercury fell to minus 9.9C in Braemar, north-east Scotland.
Temperatures dropped to nearly minus 10C on Monday night – the coldest of the autumn so far.
According to the Met Office, the mercury fell to minus 9.9C (14.2F) in Braemar, north-east Scotland, on Monday night.
Nine of the 10 coldest locations overnight were north of the border, but the coldest location in England was Redesdale Camp in Northumberland, where the temperature was recorded at minus 7.1c (19.2F).
A yellow weather warning for dense and freezing fog was in place across large parts of England and eastern Wales on Tuesday morning.
During rush-hour, drivers from Brighton to Manchester had to contend with lower visibility and iced-up cars.
According to the Met Office, the freezing fog will “linger” across parts of England and Wales throughout the day.
Meteorologist Grahame Madge said: “It’s going to clear, but it might be stubborn to clear in some places, and then eager to re-form.
“We have weather warnings out until 11am (on Tuesday) but in some places it could persist more than that.”
The freezing fog hung around throughout Tuesday morning’s rush-hour.
North West Motorway Police tweeted to say they had received reports of a “few” accidents, adding: “the gritters have worked tirelessly all night, but it’s still icy out there.”
They also offered some safety tips for motorists, suggesting people drive on main roads, rather than quieter rural routes, and use a cigarette lighter to warm a key if the locks are frozen.
Mr Madge said: “Fog is always a driving hazard, and people need to take account of that when they are travelling.”
He warned drivers not to become complacent if they have passed through a clear area, saying “Don’t think the next 10 miles will be free of fog.”
Temperatures throughout the day will struggle to reach double figures across much of the country.
Southampton is predicted a maximum high of 10C-11C (50F-51.8F), but only 8C (46.4F) is expected in London, 6C-8C (42.8F-46.4F) in Norwich, 5C-7C (41F-44.6F) in Nottingham, and 4C-5C (39.2F-41F) in Aberdeen.
Temperatures will fall again overnight on Tuesday, but Mr Madge could not say “whether they will drop to the levels they did last night”.
He added: “We have a weather front moving in from the west that’s going to stall and bring cloud and rain.
“But for the east the cold conditions are going to persist.”
Public Health England has warned people to look out for others who may be vulnerable in the chilly weather.
Consultant Dr Emer O’Connell said: “Older people and those with heart and lung problems are at risk of getting sick in cold weather.”


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AUX
: auxiliary verb
Definition
The only auxiliary verb in Ukrainian is бути “to be”. It accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb.
Treebank Statistics (UD_Ukrainian)
There are 5 AUX
lemmas (0%), 14 AUX
types (0%) and 173 AUX
tokens (1%).
Out of 17 observed tags, the rank of AUX
is: 15 in number of lemmas, 13 in number of types and 13 in number of tokens.
The 10 most frequent AUX
lemmas: бути, б, би, бувши, цей
The 10 most frequent AUX
types: було, був, була, були, є, б, буде, бути, би, будемо
The 10 most frequent ambiguous lemmas: бути (AUX 158, VERB 31), б (AUX 8, PART 2), би (AUX 5, PART 1), цей (DET 18, AUX 1)
The 10 most frequent ambiguous types: було (AUX 49, VERB 11), був (AUX 25, VERB 3), була (AUX 25, VERB 3), були (AUX 23, VERB 2), є (AUX 10, VERB 4), б (AUX 8, PART 2, PROPN 1), буде (AUX 8, VERB 1), бути (AUX 8, VERB 2), би (AUX 5, PART 1), ці (DET 2, AUX 1)
- було
- був
- була
- були
- є
- б
- буде
- бути
- би
- ці
Morphology
The form / lemma ratio of AUX
is 2.800000 (the average of all parts of speech is 1.380843).
The 1st highest number of forms (10) was observed with the lemma “бути”: Буду, Будьте, був, буде, будемо, була, були, було, бути, є.
The 2nd highest number of forms (1) was observed with the lemma “б”: б.
The 3rd highest number of forms (1) was observed with the lemma “би”: би.
AUX
occurs with 10 features: uk-feat/Aspect (159; 92% instances), uk-feat/VerbForm (159; 92% instances), uk-feat/Mood (150; 87% instances), uk-feat/Tense (150; 87% instances), uk-feat/Gender (103; 60% instances), uk-feat/Number (48; 28% instances), uk-feat/Person (22; 13% instances), uk-feat/Animacy (1; 1% instances), uk-feat/Case (1; 1% instances), uk-feat/PronType (1; 1% instances)
AUX
occurs with 20 feature-value pairs: Animacy=Inan
, Aspect=Imp
, Case=Acc
, Gender=Fem
, Gender=Masc
, Gender=Neut
, Mood=Imp
, Mood=Ind
, Number=Plur
, Number=Sing
, Person=1
, Person=2
, Person=3
, PronType=Dem
, Tense=Fut
, Tense=Past
, Tense=Pres
, VerbForm=Conv
, VerbForm=Fin
, VerbForm=Inf
AUX
occurs with 14 feature combinations.
The most frequent feature combination is Aspect=Imp|Gender=Neut|Mood=Ind|Tense=Past|VerbForm=Fin
(50 tokens).
Examples: було
Relations
AUX
nodes are attached to their parents using 3 different relations: uk-dep/cop (142; 82% instances), uk-dep/aux (25; 14% instances), uk-dep/aux:pass (6; 3% instances)
Parents of AUX
nodes belong to 8 different parts of speech: NOUN (65; 38% instances), ADJ (49; 28% instances), ADV (31; 18% instances), VERB (22; 13% instances), AUX (3; 2% instances), NUM (1; 1% instances), PRON (1; 1% instances), PROPN (1; 1% instances)
162 (94%) AUX
nodes are leaves.
10 (6%) AUX
nodes have one child.
1 (1%) AUX
nodes have two children.
The highest child degree of a AUX
node is 2.
Children of AUX
nodes are attached using 3 different relations: uk-dep/obl (6; 50% instances), uk-dep/advmod (3; 25% instances), uk-dep/aux (3; 25% instances)
Children of AUX
nodes belong to 6 different parts of speech: AUX (3; 25% instances), PROPN (3; 25% instances), ADV (2; 17% instances), NOUN (2; 17% instances), PART (1; 8% instances), PRON (1; 8% instances)
AUX in other languages: [am] [ar] [bg] [bxr] [ca] [ckb] [cop] [cs] [cu] [da] [de] [el] [en] [es] [et] [eu] [fa] [fi] [fo] [fr] [ga] [gl] [got] [grc] [he] [hi] [hr] [hu] [id] [it] [ja] [kk] [kmr] [ko] [la] [lv] [mr] [nl] [no] [pl] [pt] [ro] [ru] [sa] [sk] [sla] [sl] [so] [sr] [sv] [swl] [ta] [tr] [ug] [uk] [u] [urj] [ur] [vi] [yue] [zh]


BoundFragment()
A fragment that is assured to be bound to a specific activity type.
T - the activity type for this fragment to be bound to
T


WaitForChildren()
This command will only finish if whatever CommandGroup it is in has no active children. If it is not a part of a CommandGroup, then it will finish immediately. If it is itself an active child, then the CommandGroup will never end.
This class is useful for the situation where you want to allow anything running in parallel to finish, before continuing in the main CommandGroup sequence.


Responsive
Everything should be 100% responsive. Your website should work regardless of a user's device or screensize.
v4.8.1
or
Secondary call to action
Go into all the world and preach the gospel to every creature.
A huge segment of the world is online – a lot. They are reading, watching, browsing, liking, talking, and searching. There is a tremendous opportunity to reach these people. Unfortunately, many churches have fallen behind in this regard. Optimizing your online presence can be difficult, expensive, and time-consuming. This is understandable, churches are focused on other, more important things.
That's where we come in. We can help you build your online presence and reputation in a small but powerful way. We developed a really simple and easy process for gathering feedback and reviews from your congregation.
Skyler Westby Founder
Church Review has seriously blown my mind. Making landing pages responsive is now… somehow… actually fun?!
Ian Storm Taylor Co-founder of Segment.com
I used Church Review for the first time on goldenstaterecord.com. Really fast to make big changes to the design in-flight. 👍
Wilson Miner Digital Design - The California Sunday Magazine
Church Review is powerful, obvious, and well documented. It's made me rethink my approach to building organized and componentized CSS. I highly recommend you try it.
Dustin Senos Designer
Perfect typography depends on perfect harmony between all of its elements. Harmony is determined by relationships or proportions. Proportions are hidden everywhere. words themselves.
True book design, therefore, is a matter of tact (tempo, rhythm, touch) alone. It flows from something rarely appreciated today: good taste. The book designer strives for perfection; yet every perfect thing lives somewhere in the neighborhood of dullness and is frequently mistaken for it by the insensitive. In a time that hungers for tangible novelties, dull perfection holds no advertising value at all.
In a masterpiece of typography, the artist's signature has been eliminated. What some may praise as personal styles are in reality small and empty peculiarities, frequently damaging, that masquerade as innovations.
Only through constant practice and strictest self-criticism may we develop a sense for a perfect piece of work. Unfortunately, most seem content with a middling performance. Careful spacing of words and the correct spacing of capital letters appear to be unknown or unimportant to some typesetters, yet for him who investigates, the correct rules are not difficult to discover.
Everything should be 100% responsive. Your website should work regardless of a user's device or screensize.
No matter the lighting, or the device, font-sizes should be large enough and contrast should be high enough for your users to easily read your content.
Tachyons isn't just a monolithic framework. It's a collection of small modules that can be mixed and matched or used independently. Use what you need. Leave the rest.


Modeling daytime changes in high resolution photographs, e.g., re-rendering the same scene under different illuminations typical for day, night, or dawn, is a challenging image manipulation task. We present the high-resolution daytime translation (HiDT) model for this task. HiDT combines a generative image-to-image model and a new upsampling scheme that allows to apply image translation at high resolution. The model demonstrates competitive results in terms of both commonly used GAN metrics and human evaluation. Importantly, this good performance comes as a result of training on a dataset of still landscape images with no daytime labels available.
The HiDT model aims to extract independent encodings of content $c$ and style $s$ from an input image $x$ by using its own architectural bias, with no explicit supervision from the training set, and then to construct images with new content-style combinations. To create a plausible daytime landscape image, the model should preserve details from the original image. To satisfy this requirement, we enhance the FUNIT-inspired encoder-decoder architecture with dense skip connections between the downsampling part of the content encoder and the upsampling part of the decoder. Unfortunately, regular skip connections would also preserve the style of the initial input. Therefore, we introduce an additional convolutional block with AdaIN and apply it to the skip connections.
Training a network which can effectively operate with high resolution images is difficult due to the hardware constraints in both memory and computation time. Inspired by existing multiframe image restoration methods, we propose to use a separate enhancement pipeline to upscale the translated image and simultaneously remove the artifacts that are typical for the trained and frozen translation net. Therefore, the input is split into subimages (color-coded in the scheme below), that are processed individually by HiDT at medium resolution and then merged together with $G_{enh}$ network.
Swapping styles between two images. Original images are shown on the main diagonal, and off-diagonal images correspond to swaps. Swapping successfully combines both content and style from two input images into naturally-looking photographs.
The original content image (top left), transferred to randomly sampled styles from prior distribution. The results demonstrate the diversity of possible outputs.
Linear interpolation between two extracted styles (lighting conditions) on our main dataset. The leftmost column contains original images while the topmost row contains the two images the endpoint styles were extracted from. Linear interpolation delivers smooth transition between styles, e.g. cloudy and clear sky.
Interpolation between the styles of dusk and sunset.
Linear interpolation between two extracted styles (lighting conditions) by the HiDT model, trained on our dataset of landscape photos. The leftmost column contains artworks in realism style.
Perhaps surprisingly, HiDT model, trained on a dataset of paintings, is capable of artistic style transfer as well. Original images are shown on the main diagonal.
I. Anokhin, P. Solovev, D. Korzhenkov, A. Kharlamov, T. Khakhulin, A. Silvestrov, S. Nikolenko, V. Lempitsky, and G. Sterkin. "High-Resolution Daytime Translation Without Domain Labels." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).


aws
The official CLI tool for Amazon Web Services.
Some subcommands such as `aws s3` have their own usage documentation.
More information: home page
- Configure the AWS Command-line:
aws configure wizard
- Configure the AWS Command-line using SSO:
aws configure sso
- See help text for the AWS command:
aws command help
- Get the caller identity (used to troubleshoot permissions):
aws sts get-caller-identity
- List AWS resources in a region and output in YAML:
aws dynamodb list-tables --region us-east-1 --output yaml
- Use auto prompt to help with a command:
aws iam create-user --cli-auto-prompt
- Get an interactive wizard for an AWS resource:
aws dynamodb wizard new_table
- Generate a JSON CLI Skeleton (useful for infrastructure as code):
aws dynamodb update-table --generate-cli-skeleton


XGBoost - House Price Prediction
2021 May
Ask a home buyer to describe their dream house, and they probably won't
begin with the height of the basement ceiling or the proximity to an
east-west railroad. But this playground competition's dataset proves
that much more influences price negotiations than the number of bedrooms
or a white-picket fence. With 79 explanatory variables describing
(almost) every aspect of residential homes in Ames, Iowa, this
competition challenged us to predict the final price of each home.
Esfira Babajanyan, Hrach Yeghiazaryan and I accepted this challenge.
Although this was our first-ever model, we charged into the unknown
head-on. We built a pipeline capable of determining which features
are useless, capable of generating composite features from existing
ones. The architecture of the pipeline proved to be flexible, allowing
us to do various operations with a single call, for example, grid-searching.
The charge into the unknown made us learn a vast amount from the new
challenges we were facing. I hope everybody gets to experience the
joy of challenging oneself.
The Structure of the Pipeline
The pipeline consists of four steps: the Column Remover, the Feature Generator, the One-Hot Encoder and the Extreme Gradient Boost regressor.
The first step, Column Remover, can be given a list of column names to remove from the data, not letting it pass to the next stage of the pipeline. This pipeline component is beneficial since it allows us to run cross-validation checks on the entire pipeline and compare the scores to other cross-validations run on the pipeline with one column removed, thereby quickly determining whether the removed column affected the score positively or negatively.
The second step, Feature Generator, generates new features from the existing ones. It takes a list of sub-generator functions, which take a data frame and output a dataframe with the additional composite feature. The Feature Generator passes the data to each of the sub-generators and outputs the resulting dataframe. If enough ingredient features are missing from the dataframe due to the Column Remover, the new composite feature is not created.
The third step, One-Hot Encoder, takes the columns that are not numeric and one-hot encodes them. This step is necessary since the final estimator only accepts numerical data.
The final step, Extreme Gradient Boost regressor, learns from the training data provided to it and generates trees that can collectively predict house prices.
The Team
We are a team of students eager to jump into the data science world. With this project, we hoped to learn as much as we could about the challenges data scientists are faced with every day. Luckily, the project was a great success, and it met all of our expectations. We learned what pipelines are and their usefulness, we learned how XGBoost works in theory, we got to tune hyperparameters. We faced many problems which we didn't know we were going to face, helping us further develop our problem-solving skills. This project will stand to be the portal to data science for our team.
Esfira Babajanyan: Data Visualizations, Presentation
Hrach Yeghyazaryan: Data Visualizations, Presentation
Mher Movsisyan: Building the pipeline, Dash-based Project Website
Click here to visit the project GitHub repository
Click here to visit the kaggle notebook


Vibration (Android only)
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Shake (10)
Shake (15)
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Kamrul Ahsan new Bangladesh ambassador to Russia
by bdnews24.comThe government has decided to appoint Ambassador Kamrul Ahsan, currently serving as the secretary for bilateral and consular affairs in the foreign ministry, as the ambassador of Bangladesh to Russia.
Ahsan is a career foreign service officer, belonging to the 1985 batch of the Bangladesh Civil Service Foreign Affairs cadre.
In his career, he served in various capacities at Bangladesh missions in Beijing, London, Washington, DC and Dubai. He also served as high commissioner to Canada and Singapore.
He was promoted to the rank of secretary in 2016.
Ahsan obtained his Bachelor of Science degree in civil engineering from Bangladesh University of Engineering and Technology or BUET.
He also studied at Beijing Language and Culture University and Asia Pacific Center for Security Studies, Hawaii.


Enter the signaling server address and then click Connect. Then click Download to start downloading the file.
Legend: green = from peer, red = from server. Check console for logs


Tarzan And His Mate (1934)
Grade: 43
"Tarzan and His Mate" is an early Tarzan picture that is an improvement over later films in the series, but still lacks the quality to pass for anything above escapist entertainment.
The plot has white ivory hunters using Tarzan to locate and plunder a huge elephant graveyard of ivory tusks. The hunters encounter resistance from enemy african tribes and organized animal armies. Jane tries to help the hunters, one of them a discarded beau, getting in frequent trouble and requiring rescue from Tarzan.
The film starts slowly, with our two safari-clad hunters talking to various uninteresting white people we never see again. The expedition begins for the ivory. An enormous number of Africans are hired for labor, and are cruelly used, even shot, by the reckless expedition head. There is a disorganized battle with an opposing tribe, and an unlikely confrontation with rock throwing apes. Finally, we meet Tarzan, as he prevents the apes from further killing off unlucky Africans.
Tarzan rules the apes and the elephants. Heaven knows how he has trained him, but they obey without question. He has no power over "bad" animals, such as lions, rhinos and crocodiles. When he makes the mistake of leaving Jane's side, she ends up trapped by these bad creatures, but Tarzan comes to the rescue when called. The lion and rhino fights are good stunts, but the crocodile is an obvious spinning dummy. These scenes are possibly derived from "King Kong" (1933) which had the big ape battling various dinosaurs to impress Fay Wray.
The wild finale involves an army of lions who for no apparent reason are after the hunters, and even attack an opposing army of elephants. Tarzan is the improbable victor of a series of one-on-one battles with enormous lions.
It is refreshing to see Jane with more sensuality than clothes, and a sense of adventure sparks the movie. The sets are impressive as well. However, muddled direction and plot keep the film from being more than watchable.
http://members.tripod.com/~Brian_Koller/movies.html
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


Book your seats before they are gone!
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{% extends "base.html" %} {% block body %}
Number of members in Safari Zone: {{ num_members_at_home}}.


My
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Log
Add Books to Your Collection !!
Title
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Choose a category to store Books:
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{% include head.html %}
{% include browser-upgrade.html %} {% include navigation.html %}
{{ content }}
{% include scripts.html %}


... produces an object with minified js that looks like the following
unminified source:
// indicates these modules are loading
steal.has("a.js","b.js");
// steal any packages this package depends on
// waits makes them wait until the prior steal has finished
steal({id:"package/1.js",waits:true,has:["jquery/jquery.js"]});
steal({id:"package/css.css",waits:true,has:["c.css"]});
// steal the modules required by production.js
// so that it can be marked completed
// at the right time
steal("a.js","b.js");
// temporarily saves and empties the pending
// queue because the content's of other files
// will add to it and steal.excuted will clear it.
steal.pushPending();
// the files and executed contexts
a;
steal.executed("a.js");
b;
steal.executed("b.js");
// pop production.js's pending state back into
// the pending queue.
// When production.js is done loading, steal
// will use pending as production.js's dependencies.
steal.popPending();
steal.build.js.makePackage(moduleOptions, dependencies, cssPackage, buildOptions)
creates JavaScript and CSS packages. For example:... produces an object with minified js that looks like the following unminified source:


Feature list
See the page How to generate a colormixer about how to make that nice color mixer.
Feature
|
Comment
|
Priority
|
Version Impl
|
other
|
Select color from HSL/HSV
|
Behind the touchscreen, set a image (printed) with a HSL/HSV space and transform this to RGB according position. I just need the formula to draw a HSL/HSV space...
|
Med
|
|
|
Sensitive to sound
|
Add a mic and make the stuff sensitive to sound (easy : average volumne, hard : color according frequencies)
|
Low
|
|
|
Add modes accessible by buttons
|
- Sine : around the selected color, make the brightness evolve slowly like a sine
- Random : like the MagicSango, from the start color, evolve randomly
- Flame : make the brightness evolve randomly while keeping the base color (little amplitude but quite fast to emulate a flame pulse)
- Stable : nothing (but you need it)
- 1 hour fade out : light will slowly turn off for 1h and the stop the whole arduino and led completely
|
Med/High
|
|
|
|
|
|
|
|
Pictures
|
- Top part : Color for the lamp.
- Bottom part : brightness.
|
Interesting links
RGB colors and HSV
Leds light effects
Leds
DS Touchscreen and colorpicker


CYD Progressives officer elections will take place at the California Young Democrats Convention, February 23-25 in San Diego. This page explains how you can run for any of our nine Executive Board officer positions, and provides information on all declared candidates for members who will be voting in the election.
Table of Contents
- Candidate Statements (Updated weekly Jan 24–Feb 21)
- Chair
- Political Director
- Membership Director
- Fundraising Director
- Communications Director
- Secretary-Controller
- Running for Office
- Office Descriptions
- Informational Videoconference (January 18th)
- Candidate Statements
- Questions from Members
- Newsletters
- Timeline
- General Elections Information
Candidate Statements
Check back on January 24th for the beginning of the official campaign period, candidate statements will be uploaded then.
Running for Office
Any member in good standing may be elected to office. Members must be members of the California Young Democrats, namely persons from 13 to 35 who are registered Democrats or who intend to register when eligible. Join or update your membership registration. You may check your membership registration by inquiring with the Membership Director.
Officers serve from the close of the Annual Membership Meeting at which they are elected, until the close of the next Annual Membership Meeting. There are no term limits on holding office.
Office Descriptions
Chair
- The Chair shall serve as the chief executive officer and official voice of this organization.
- The Chair shall be the default presiding officer of this organization.
- The Chair shall serve as the representative of this organization at functions of all organizations with which this organization is affiliated unless a separate representative is otherwise appointed by the Chair.
- The Chair shall provide an overarching vision for this organization.
- The Chair shall have the authority to call meetings of this organization.
- The Chair shall be responsible for developing and fostering relationships between this organization and relevant members of the California Democratic Party and California Young Democrats.
- The Chair shall also serve as an ex-officio non-voting member on any committees for which the Chair is not a member.
- The Chair shall break ties of the Board or the Membership.
Political Director
- The Political Director shall ensure that the Caucus develops and implements a plan for political action - including lobbying, endorsements, and electioneering - reflecting the values of this organization.
- The Political Director shall work with Regional Directors to engage local CYD chapters and other interested organizations in political action.
- The Political Director shall serve as the chair for the Policy and Research Committee.
Membership Director
- The Membership Director shall be responsible recruiting new members to the organization, and shall ensure the secretary promptly receives all such documents.
- The Membership Director shall work with the Regional Directors to hold regional membership meetings and recruit new members.
- The Membership Director shall assist the Chair in running Membership Meetings.
- The Membership Director shall be responsible for maintaining an accurate up up-to-date record of the membership of this organization.
Fundraising Director
- The Fundraising Director shall oversee all fundraising of this organization and communications with its donors.
- The Fundraising Director shall create and regularly and promptly update a database of this organization and its political donors.
- The Fundraising Director shall assist the Secretary-Controller and professional treasurer with all campaign finance disclosure documents.
- The Fundraising Director shall serve as the chair of the Finance Committee.
Communications Director
- The Communications Director shall assist the Chair in running this organization’s social media accounts.
- The Communications Director shall draft press releases for this organization in a timely manner at the request of the Chair or the Board.
- The Communications Director shall oversee the production of this organization’s no-less-than-quarterly newsletter.
- The Communications Director shall serve as this organization's default webmaster. The Communications Director may select a professional webmaster with the consent of the Board.
Secretary-Controller
- The Secretary-Controller shall serve as the default treasurer-of-record for this organization and its political committees, including filling out financial disclosure forms. The Secretary-Controller may select a professional treasurer with the consent of the Board.
- The Secretary-Controller shall maintain all records and financial documents for this organization.
- The Secretary-Controller shall work with the Chair and the Fundraising Director to create maintain an annual budget for this organization, as well as to update it as necessary throughout the year.
- The Secretary-Controller shall give monthly updates to the Board on the finances of the organization and its political committees.
- The Secretary-Controller shall serve as the vice chair of the Finance Committee.
- The Secretary-Controller shall serve all required notices and perform any other duties directed by the Chair.
Regional Directors
- The Regional Director shall proactively follow political developments within throughout their region and make sure the Board and the membership are informed about those developments.
- The Regional Directors shall work with the Membership Director to hold quarterly regional membership meetings and recruit new members.
- The Regional Directors shall work with the Political Director to engage local CYD chapters and other interested organizations in political action.
- The Regional Directors shall seek-out and appoint, with the consent of the Board, Assistant Regional Directors to assist them with their duties.
- The Regional Directors shall be elected by the members of this organization who reside with their respective Regions. The Regions shall be as follows:
- The Northern Region consists of San Mateo, Santa Clara, Alameda, Contra Costa, Sacramento, Calaveras, and Alpine counties and all counties north of these counties.
- The Central Region consists of Santa Cruz, San Benito, Merced, Stanislaus, San Joaquin, Tuolumne, and Mono counties on the north boundary and Santa Barbara, Kern, Tulare, Fresno, and Mono counties on the south boundary and all counties in between.
- The Southern Region shall consist of Ventura, Los Angeles, San Bernardino and Inyo counties and all counties south of these counties.
Informational Videoconference
If you’re interested in seeking office, we will host a group video conference on Thursday, January 18th from 6-8 PM. You may join and leave whenever you like.
The purpose of this call is to provide an opportunity for you to ask questions of current board members, clarify any unclear or ambiguous portions of this elections document, meet other potential candidates, and gain the confidence to run.
The call will be hosted on Google Hangouts Meet at meet.google.com/vis-cdsw-dsm. As the number of simultaneous participants is limited to 25, please RSVP so we can anticipate turnout and host a second session if necessary.
Candidate Statements
When you declare your intent to run for office, you may submit a candidate bio, tagline, statement and headshot for inclusion on this page and in our other elections resources.
Three newsletters will be sent to the caucus membership in the campaign period as described below. As we have nine offices up for election and anticipate some competitive races, including the entirety of every candidate’s statement in each email newsletter is impractical. The newsletters will contain only a breakdown of candidates by race, each candidate’s name, and their tagline. The candidate’s name will be linked to their statement on this page.
Taglines may not exceed fifteen words.
The bio/statement should be no longer than 200 words.
You may elect to include a headshot with your statement, they will appear together on this page. For stylistic consistency, this should be a color portrait photo without any text or other manipulation superimposed.
No materials may contain links or URLs.
Revisions may be sent to Ben Isserlis at<EMAIL_ADDRESS>Online materials will only be updated as frequently as new declarations, that is, once per week on Wednesdays.
Questions from Members
In lieu of a debate (which would be costly, time consuming, interminably long, difficult to plan, and near impossible to coordinate between all candidates for all offices), we will begin accepting questions from members when the first campaign newsletter is sent out on January 24th.
Members will have until February 7th to submit questions for any particular office or for all candidates. We will then sort the questions and distribute the set to all candidates. Candidates will have until February 13th to submit their responses.
Responses will be accepted in the form of a PDF and linked from the candidate’s statement and in the second newsletter. Candidates may choose one question & answer pair to “feature”, which will be included directly in this page adjacent to their statement. The featured answer should be no longer than 200 words, or an excerpt may be designated. The featured answer may not include any links or URLs.
Though there is no restriction on the length of the provided PDF, candidates are advised to keep it succinct. We’re not here to read your novel and if you submit any fragment of War and Peace in jest we’ll make you wear a silly hat during the election.
Revisions will not be accepted once answers are posted.
Newsletters
We will distribute three newsletters during the campaign period from January 24th to February 21st.
Each newsletter will contain a list of all elections, all eligible candidates for each election, those candidates’ taglines, and a link to the candidate’s statement on this page.
The first newsletter will be sent on January 24th. In addition to the list of candidates, it will include a request for members to submit questions for candidates as described above.
The second newsletter will be sent on February 14th. In addition to the list of candidates, it will include the candidates’ responses to the member questions collected previously.
The third newsletter will be sent on February 21st and will mark the close of the campaign period at midnight. No further names will be collected for inclusion on the ballot or on this page, though members are of course allowed to be nominated from the floor and written in.
Timeline
- January 11th—Elections announced; candidates may declare intent
- January 18th—Informational video conference, ask questions about running
- January 24th—Beginning of campaign period; all confirmed candidates’ statements posted on CYD Progressives website; notice will go out to members with names of all candidates & links to statements online via caucus newsletter; begins collection of member questions for candidates
- January 31st and on a weekly basis until February 21st—Any further statements of intent will be collected and posted online
- February 7th—Collection of questions for candidates closed; questions shared with candidates
- February 13th—Candidate responses to member questions must be submitted by this date
- February 14th—Second newsletter; Candidate answers posted online & noticed in newsletter
- February 21st—Third and final newsletter; final chance to declare and be on printed ballots
- Presumably February 24th—Elections held; declared candidates nominated en masse; nominations will still be taken from the floor
General Elections Information
Any registered member of the caucus present at the annual meeting at the California Young Democrats Convention in San Diego February 23-25 is eligible to vote in the caucus elections.
If you have never registered or updated your registration online with us, please do so now! Our online registration form is much more comprehensive than any paper form or spreadsheet you may have filled out, and is the primary way to get involved with one of our caucuses as well.
Registration and attendance will be checked at the door. Only registered members may cast a ballot.
During the meeting, nominations will be opened and all verified candidates will be nominated en masse. Further nominations from the floor will be accepted.
Once nominations are closed, the Secretary will read the list of candidates in the order in which they must deliver their speech. Speeches will be ordered first by office, then alphabetically by last name. Candidates should form a line at the front of the room in the order in which they are to speak so that the process may move along promptly. As we anticipate having many candidates for our many offices, candidates should not expect to receive more than one minute for their speech.
Out of respect for all candidates, ballots will be distributed fifteen minutes from the end of the meeting or at the end of speeches, whichever comes first.
All expediency will be made in tallying the vote, however members should not be surprised to find the final determination announced by email some hours after the meeting has adjourned.
Volunteering
Seeing that the meeting runs smoothly and completes within a reasonable time takes coordinated effort on the part of many people. Thank you for your interest, and thank you for your help.
Volunteers are needed to
- Register new members
- Verify registrations and check all attendees in
- Usher people to seats and maintain decorum
- Distribute ballots
- Count ballots
Volunteers must be available for 2 hours in the week before convention for training, and for 2-3 hours during convention for the meeting (setup, the program, cleanup).
More information will be posted as materials are finalized and dates set. Volunteers will be contacted with dates for videoconference training sessions in early February.


WideWeb is a web browser for FriendUP resources. It does now allow you to load https:// urls if the remote site does not block iframes. Additionally it reads HTML5 files on your disk drives, like in "Home:". Finally, it can load content located on hosts in the Friend Network.
To read more about WideWeb, please refer to the documentation.
WideWeb is often times used to read documentation and help files. But it becomes very useful when accessing remote disk drives that you have connected using the Disk catalog.
Enjoy a new world of networked content using WideWeb!


Back to all open positions
Data Engineer
We are looking for a Data Engineer/ETL Developer to join our growing team of Data and BI experts here at Artelly. You will join a team of Data Engineers to build the next generation data platform to support the growing need of data from business intelligence and analytics. You will be responsible designing, developing and productionizing ETL jobs to ingest data into Data Lake, load data to data marts; and extract data to integrate with various business applications.
Skills
- Design and Develop ETL Pipeline to ingest data into Hadoop from different data sources (Files, Mainframe, Relational Sources, NoSQL Etc.) using Informatica BDM
- Parse unstructured data, semi structured data such as JSON, XML etc. using Informatica Data Processor.
- Write efficient queries in Hive or Impala and PostgreSQL to extract data on Adhoc basis to do the data analysis.
- Identify the performance bottlenecks in ETL Jobs and tune their performance by enhancing or redesigning them.
- Work with Hadoop administrators, PostgreS DBAs to partition the hive tables, refresh metadata and various other activities, to enhance the performance of data loading and extraction.
- Performance tuning of ETL mappings and queries.
- Write simple or medium complex shell scripts to preprocess the files, schedule ETL jobs etc.
- Identify various manual processes, queries etc. in the Data and BI areas, design and develop ETL Jobs to automate them.
Qualifications
- 7+ years of experience in designing and developing ETL Jobs (Informatica or any other ETL tool)
- Experience on various execution modes in BDM such Blaze, Spark, Hive, Native.
- 3+ years of experience working on Hadoop Platform, writing hive or impala queries.
- 5+ years of experience working on relational databases (Oracle, Teradata, PostgreSQL etc.) and writing SQL queries.
- Should have deep knowledge on performance tuning of ETL Jobs, Hadoop Jobs, SQL’s, Partitioning, Indexing and various other techniques.
- Experience in writing Shell scripts.
- 1+ years of experience with working on AWS technologies for data pipelines, data warehouses
- 2+ years of experience with AWS data stack (IAM, 33, Kinesis Stream, Kinesis firehose, Lambda, Athena, Glue, RedShift and EMR
- Must have experience working in Agile SCRUM methodology, should have used Jira, Bit bucket, GIT, Jenkins to deploy the codes from one environment to other.


---
subject:
description: This is for the DESCRIPTION
---
Work in Progress
h2 test
enjoy some meaty words
Turkey flank cupim tenderloin, porchetta chicken biltong hamburger. Pork picanha kielbasa chuck, turkey short loin fatback shankle bacon beef ribs cupim. Tail pancetta kielbasa, flank chicken tenderloin doner. Hamburger frankfurter flank, ball tip shank venison ham hock short ribs pork loin pork chop drumstick beef kevin. Boudin turkey ham bacon.
2 columns #1
2 columns #2
single column
Tail pancetta kielbasa, flank chicken tenderloin doner.
Tail pancetta kielbasa, flank chicken tenderloin doner.
Tail pancetta kielbasa, flank chicken tenderloin doner.
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If you'd rather not receive our emails, you can unsubscribe from our mailing list by clicking "Unsubscribe" above. If you have any questions, feel free to contact Customer Care by email at<EMAIL_ADDRESS>or call us at
1-614-287-5353.
©2016 Columbus State Community College, All rights reserved.
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PopSchools.org
Home
Documentation
Download
Welcome to PopSchools.org
The new PopSchools is coming soon. Watch this space!


MSc in Electrical Engineering (wireless communication)
Tampere University Tampere, FinlandThesis: Realistic Vehicle Movement Models and Corresponding Radio Channel Parametrization for the Use of Positioning and Communications Studies
Thesis: Realistic Vehicle Movement Models and Corresponding Radio Channel Parametrization for the Use of Positioning and Communications Studies


Why is this easier in Scala?
Because Scala is Terse
Pettswood has only 470 lines of production code (and 921 lines of test code).
- Built-in XML processing. HTML is just a subset of XML (except for where it is horribly broken, but that is another topic)
- First-class functions
- Pattern matching, especially when applied to XML parsing
- Case classes, for short, simple Probes
- Object-oriented, for the bits that aren't sequence transformations


| Crypto Coin | Current Price | Change rate | |
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The lodash library exported as a UMD module.
Generated using lodash-cli:
$ npm run build
$ lodash -o ./dist/lodash.js
$ lodash core -o ./dist/lodash.core.js
Lodash is released under the MIT license & supports modern environments.
Review the build differences & pick one that’s right for you.
Lodash makes JavaScript easier by taking the hassle out of working with arrays,
numbers, objects, strings, etc. Lodash’s modular methods are great for:
Lodash is available in a variety of builds & module formats.


Gym and Fitness was founded in 2002 as a family owned and operated business. The Gym and Fitness founders didn’t want it to be just another gym equipment retailer - they wanted to be the best in the industry and set their minds to doing so! Since its birth, Gym and Fitness has grown into one of Australia’s largest online fitness equipment retailers having helped over 50,000 customers live longer, happier and healthier lives
We want to help you live a fit and healthy lifestyle! We do this by helping you find the most suitable equipment for your home gym, studio or commercial gym, keeping your budget, lifestyle and fitness goals in mind. We stock a wide range of gym equipment, with strength equipment, cardio, cross training and so much more. Our awesome team is always keen to help, so please call us to discuss your needs.
CEO & Founder
Assistant trainer
Trainer


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 2-4
Pat the fish dry with kitchen paper. Sprinkle evenly with the salt and pepper and dust with flour, shaking off any excess.
Drain the tomatoes, reserving the juice, and chop the flesh into small chunks. Measure the amount of juice, keep half and set aside. Discard the rest.
Heat a wok over high heat until it is hot. Add the olive oil, and when it is moderately hot, add the fish fillets and pan-fry them for 3-5 minutes, depending on the thickness of the fillets. Then turn them over and brown the other side (this will also take about 3-5 minutes). When cooked, remove and drain on kitchen paper. Turn onto a warm platter.
Pour off all but one tablespoon of oil from the wok, add the garlic and shallots, and stir-fry for one minute.
Add the tomatoes, the reserved tomato juice, rice wine or sherry, soy sauce, chilli bean sauce and sugar, and simmer for five minutes.
Pour the sauce over the fish, garnish with the basil and serve at once.


An algorithm for identifying combinations of mutually exclusive alterations in cancer genomes. CoMEt represents the mutations in a set M of k genes with a 2^k dimensional contingency table, and then computes the tail probability of observing T(M) exclusive alterations using an exact statistical test.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.4.0) |
| Imports: | dplyr |
| Published: | 2018-01-29 |
| Author: | Max Leiserson [aut, cre], Hsin-Ta Wu [aut], Fabio Vandin [ctb], Vivian Hsiao [ctb], Benjamin Raphael [ctb] |
| Maintainer: | Max Leiserson <mdml at cs.umd.edu> |
| License: | MIT + file LICENSE |
| URL: | http://compbio.cs.brown.edu/projects/comet, https://www.r-project.org |
| NeedsCompilation: | yes |
| Citation: | cometExactTest citation info |
| CRAN checks: | cometExactTest results |
| Reference manual: | cometExactTest.pdf |
| Package source: | cometExactTest_0.1.5.tar.gz |
| Windows binaries: | r-devel: cometExactTest_0.1.5.zip, r-release: cometExactTest_0.1.5.zip, r-oldrel: cometExactTest_0.1.5.zip |
| OS X binaries: | r-release: cometExactTest_0.1.5.tgz, r-oldrel: cometExactTest_0.1.5.tgz |
| Old sources: | cometExactTest archive |
Please use the canonical form https://CRAN.R-project.org/package=cometExactTest to link to this page.


{% extends "layout.html" %} {% block content %}
Recipe: {{ entry.recipe }} Ingredients: {{ entry.ingredients }} Reviews: {{ entry.reviews }} Time to cook: {{ entry.time_to_cook }}


--- subject: Initiate signup ---
Hello ${ data.name },
Please confirm your email address to get access to your Contributor Account at mypizzapie.io by putting verification code: {{{CODE}}}, or by clicking on the link below
| Verify Email Address |
If you did not sign up for this account you can ignore this email and the account will be deleted.
Thank You,
My Pizza Pie Team


MTC
menu
MTC Profile
Name
hhh
Incharge Name
jjj
Number of Beds
15
Email
<EMAIL_ADDRESS>Address
hhh
Location
23.66665,25,87765
menu
menu
Bharuch MTC
Sam Shukla
Children Under Treatment
Waiting List of Children
Discharged Children
MTC Details
LOGOUT
MTC
MTC Profile
Name
hhh
Incharge Name
jjj
Number of Beds
15
Email
<EMAIL_ADDRESS>Address
hhh
Location
23.66665,25,87765


The ID of the credentials entry that contains the API key.
This parameter is optional; the API key may also be provided through "API options", however this method is preferred.
If provided, then this credentials entry must either be of type "text" or "file". In the latter case, the file is read as-is and the resultant string is used as the API credentials.


---
title: Races
---
{% include header.html %}
A variety of race information
- Barkley is a 100+ mile ultra-marathon through the woods of the Cumberland Range in East TN
- Race Across America (RAAM) is a 3000+ mile cycling race from Santa Monica Pier in Los Angeles to the Empire State Building in New York City
- Arizona Trail 300 has the catchy tagline of "no entry fee, no prizes, absolutely no support"
{% include footer.html %}


Hello Josh!
It’s good to see you again.
1
Courses completed
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Spanish B2
by Alejandro Velazquez
Courses
Your statistics
Lern even more!
Unlock premium features only for $9.99 per month
It’s good to see you again.
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by Alejandro Velazquez
Unlock premium features only for $9.99 per month


--- layout: post title: Fink 0.6.1 released mt_id: 141 date: 2003-11-04 01:22:36.000000000 +09:00 author: clouder category: Mac ---
Fink - Home 2003-11-1: Fink 0.6.1 released The latest Fink release, version 0.6.1, is now available for both source and binary users.出てます。


Niagara squares off against Bryant
by EndPlayNIAGARA, N.Y. - Bryant (3-2) vs. Niagara (0-3)
Gallagher Center, Niagara, New York; Monday, 7 p.m. EST
BOTTOM LINE: Niagara squares off against Bryant in an early season matchup. Bryant blew out Northern Vermont-Lyndon by 49 at home on Friday. Niagara lost 89-80 at Stephen F. Austin on Wednesday.
FRESHMAN QUARTET: Niagara has relied heavily on its freshmen this year. James Towns, Marcus Hammond, Raheem Solomon and Nicholas Kratholm have combined to account for 63 percent of all Purple Eagles scoring this season.ACCURATE ADAM: Adam Grant has connected on 38.3 percent of the 47 3-pointers he's attempted and has made 18 of 47 over the last five games. He's also converted 72.7 percent of his foul shots this season.
DID YOU KNOW: Bryant as a team has made 11.6 3-pointers per game this season, which is ninth-most among Division I teams.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


Delays after Mini Cooper and Vauxhall Astra crash at Penwortham Way junction
by James GravesTraffic has been delayed in Whitestake following a crash on Penwortham Way.
A black Mini Cooper and a red Vauxhall Astra have crashed at the junction with Chain House Lane.
Police are at the scene but no one is believed to be seriously injured in the crash which happened shortly after midday
Motorists are being warned to expect short delays as the vehicles are recovered from the junction.


I found these 5USD dust sensor (counter is a big word in fact) on eBay and tried it. Since I do woodworking as a second hobby, having a sensor to make sure I'm now brownlungig myself into pneumonia. So one stone two birds.
Presentation
Principle
That cheap module has a IR led and sensor that is calibrated to return a voltage that is function of the volume of dust in the air. I put a small led bar in front since I'm not interrested by the value, an indication of the air quality is enough for me.
Points of interrest
* The usage of that small sensor
The rest is pretty much ballpark, no additional challenge.
Implementation
Bill of materials
* GP2Y1010AU0F Compact Optical Dust Sensor Smoke Particle Sensor
* [[http://akizukidenshi.com/catalog/g/gP-01704/|DMC16117A]] 16x1 LCD with strange behavior
* An Arduino because I have too much of them
GP2Y1010AU0F Dust Sensor how to use
**Pinout**
On mine, the connector wire colors are (looking at the plug on the sensor, wires bottom, left to right):
* White: V-LED
* Blue: LED-GND => GND
* Green: LED
* Yellow: S-GND
* Black: V0
* Red: VCC
// The dust sensor wiring schema from the doc //
**Voltage to dust density approximation**
//Datasheet vs. homemade approximation//
I decided to use 2 linear approximations, using 5V:
* The blue one Y = 6 X + 0.6
* The orange one Y = 0.5 X + 3.25
And use one or the other depending where you are:
/* Takes the voltage (in V) read and return the dust density based on the graph provided in the Datasheet
*/
float voltage2DustDensity (float pVoltage) {
if (pVoltage <= 0.6) {
return 0;
}
if (pVoltage <= 3.4) {
/*
linear regression calulated from key values at (v=0.6 dust=0) and (v=3 dust=0.4)
x = (y - b) / a
*/
return (pVoltage - 0.6)/6.0;
}
/*
voltage > 3.4 same with [0.5;3.5] and [0.8;3.65]
x = (y - b) / a
*/
return (pVoltage - 3.25)/0.5;
}
Schematics
Follow the schematic from the datasheet for the Dust sensor. The board is a [[WordClock]] board because it was proper in term of size. The Led bar is linked via a bunch of 1k ohm resistors to pins 27 to 15 (arduino A4 to 9), and the Dust sensor pin connected to A5 for reading and 8 (arduino) for driving the LED.
Source code
It's an arduino script because I was too lazy to write it properly in C in Atmel Studio. Code is here [[https://github.com/AlanFromJapan/alanarduinotools/tree/master/DustCounter|on GitHub]].
Pictures
//Mounted on its holder, backk has a scavended Liion battery, a Liion charger and a boost converter to 5v//
Links
Helpful sources
People who had problem with this LCD:
* [[https://softsolder.com/2009/05/24/arduino-liquidcrystal-library-vs-old-hd44780-lcd-controller/]]
* [[http://micom.hamazo.tv/e2662756.html]]
People who had problem with the dust sensor:
* [[http://arduinodev.woofex.net/2012/12/01/standalone-sharp-dust-sensor/]]
* [[http://www.arduino.org/learning/tutorials/boards-tutorials/sharp-dust-sensor-gp2y1010au]]
* [[https://www.sparkfun.com/datasheets/Sensors/gp2y1010au_e.pdf|Datasheet on Sparkfun]]
Inspiration


Small, annotated library to stream webcam content to a canvas element
This project is maintained by cbrandolino, which just got a twitter account: @cbrandolino
If you can't wait to experiment with the endless possibilities that using webcam streams with canvas can give to developers, the annotated source code is just waiting for you - take a look at the example usage, then download the library and have a blast!
This demo only works on the most recent versions of chrome, firefox (Aurora/nightly) and safari (possibly explorer too, but I would not vouch for it). Opera should really try to implement a requestAnimationFrame, instead, in particular now that they support WebGL.
Some browsers will ask you for permissions to use your webcam: accept it in order to see the demo in action: feel free to check the code before activating it. Spoiler: nothing will be sent anywhere, it's between you and your browser.
Note for chrome 12 users: you might experience some performance issues. If you want to solve them (and feel adventurous), take a look at chrome://flags and get freaky checking all things 2d- and video- acceleration
Here are some useful resources to learn more about HTML5 video, canvas, WebRTC and how they work together


{% extends 'base/authentication_base.html' %} {% load widget_tweaks %} {% block authentication_base %}
Don't have an account? Create Account


curs_addstr 3x
curs_addstr(3x) curs_addstr(3x)
NAME
addstr, addnstr, waddstr, waddnstr, mvaddstr, mvaddnstr,
mvwaddstr, mvwaddnstr - add a string of characters to a
curses window and advance cursor
SYNOPSIS
#include <curses.h>
int addstr(const char *str);
int addnstr(const char *str, int n);
int waddstr(WINDOW *win, const char *str);
int waddnstr(WINDOW *win, const char *str, int n);
int mvaddstr(int y, int x, const char *str);
int mvaddnstr(int y, int x, const char *str, int n);
int mvwaddstr(WINDOW *win, int y, int x, const char *str);
int mvwaddnstr(WINDOW *win, int y, int x, const char *str, int n);
DESCRIPTION
These routines write the characters of the (null-termi-
nated) character string str on the given window. It is
similar to calling waddch once for each character in the
string. The four routines with n as the last argument
write at most n characters. If n is -1, then the entire
string will be added, up to the maximum number of charac-
ters that will fit on the line, or until a terminating
null is reached.
RETURN VALUE
All routines return the integer ERR upon failure and OK on
success (the SVr4 manuals specify only "an integer value
other than ERR") upon successful completion.
NOTES
Note that all of these routines except waddstr and
waddnstr may be macros.
PORTABILITY
All these entry points are described in the XSI Curses
standard, Issue 4. The XSI errors EILSEQ and EOVERFLOW,
associated with extended-level conformance, are not yet
detected.
SEE ALSO
curses(3x), curs_addch(3x).
curs_addstr(3x)
Man(1) output converted with
man2html


Logic Puzzles with Prolog
Which language could be more suitable than Prolog for
solving logic puzzles? (Answer: false.)
A vast array of interesting and commonly known logic puzzles can
be elegantly and efficiently solved with Prolog and constraints.
Some puzzles can be very directly modeled and solved
as combinatorial tasks, others
need more effort to find a suitable formulation as
such tasks, and yet other puzzles require a search over
different states. In the following, we
consider a few example puzzles.
Knights and Knaves
For example, consider a few puzzles that appear in
Raymond Smullyan's What Is the Name of This Book?
and Maurice Kraitchik's Mathematical Recreations.
| Video: |
|
Premise: You are on an island where every inhabitant is
either a knight or a knave. Knights always
tell the truth, and knaves always lie.
Using Prolog and
its CLP(B) constraints, we can
model this situation as follows:
- use 0 (false) to denote a knave
- use 1 (true) to denote a knight
- use one Boolean variable for each inhabitant, its
truth value representing whether the person is a knave or
a knight.
Example 1: You meet 2 inhabitants, A and B. A
says: "Either I am a knave or B is a knight."
A single query over Boolean variables suffices to
determine the kind of each inhabitant, by expressing the relation
between A and the truth value of the statement:
?- sat(A =:= ~A+B).
A = B, B = 1.
This shows that both A and B are knights.
Example 2: A says: "I am a knave, but B isn't."
Translated to Boolean constraints, this corresponds to:
?- sat(A =:= ~A*B).
A = B, B = 0.
Thus, in this example, both A and B are knaves.
Example 3: A says: "At least one of us is a knave."
Using CLP(B) constraints, we can use the Boolean
expression card(Ls,Exprs) to express
a cardinality constraint: This expression is
true iff the number of expressions in Exprs that
evaluate to true is a member of the
list Ls of integers. Thus, for this example, we can
use:
?- sat(A =:= card([1,2],[~A,~B])).
A = 1,
B = 0.
Or, equivalently:
?- sat(A =:= ~A + ~B).
A = 1,
B = 0.
Example 4: You meet 3 inhabitants. A says: "All of us are knaves."
B says: "Exactly one of us is a knight."
We can translate these two statements to a conjunction of
constraints:
?- sat(A =:= (~A * ~B * ~C)), sat(B =:= card([1],[A,B,C])).
A = C, C = 0,
B = 1.
Example 5: A says: "B is a knave." B says: "A and C are of
the same kind." What is C?
We can translate this to Prolog as follows:
?- sat(A =:= ~B), sat(B =:= (A=:=C)).
C = 0,
sat(A=\=B).
This shows that C is definitely a knave. A and B can
both be either knights or knaves, and they are of
different kinds, which is indicated by the residual goal.
Which answer is correct?
Many other kinds of puzzles can be modeled by applying exactly the
same method, i.e., reasoning over Boolean variables.
Consider for example:
Which answer is correct?
- All of the below.
- None of the below.
- All of the above.
- At least one of the above.
- None of the above.
- None of the above.
Again, we can trivially translate this puzzle to statements
over propositional logic. For example, let us use the
Boolean variables A1, A2, ...,
A6 to denote whether or not the corresponding answer
is selected. Then the different statements can be translated
to relations over Boolean formulas as follows:
solution([A1,A2,A3,A4,A5,A6]) :-
sat(A1 =:= A2*A3*A4*A5*A6),
sat(A2 =:= ~(A3+A4+A5+A6)),
sat(A3 =:= A1*A2),
sat(A4 =:= A1+A2+A3),
sat(A5 =:= ~(A1+A2+A3+A4)),
sat(A6 =:= ~(A1+A2+A3+A4+A5)).
In this formulation, we are again assuming that your
Prolog system ships with a dedicated constraint solver over
Boolean domains that implements sat/1 as it is used
above. For example, in SICStus Prolog and Scryer Prolog, such
a solver is available
as library(clpb).
The following interaction shows that only a single answer
(option 5) can be selected in such a way that all
statements are consistent.
?- solution(Vs).
Vs = [0, 0, 0, 0, 1, 0].
The Prolog system has automatically deduced the single
admissible answer via constraint propagation.
Lewis Carroll
Lewis Carroll was a logic teacher who also published many
entertaining puzzles.
In many of these puzzles, your job is to string together all given
statements so that they form a chain of implications, typically
arriving at a result that is surprising or amusing. For example:
- None of the unnoticed things, met with at sea, are mermaids.
- Things entered in the log, as met with at sea, are sure
to be worth remembering.
- I have never met with anything worth remembering, when on
a voyage.
- Things met with at sea, that are noticed, are sure to be
recorded in the log.
Once more, we can translate each of these statements to a formula
of propositional logic, but this time it is not so
straight-forward because the language is intentionally a bit
obfuscated. We make the simplifying assumption that all entities
mentioned are met with at sea, since this
qualification occurs, albeit cryptically, in each of the
statements. Let us use the following abbreviations:
| N | it is noticed |
| M | it is a mermaid |
| L | it is entered in the log |
| R | it is worth remembering |
| I | I have seen it |
Using these abbreviations, we can model the puzzle as follows:
sea([N,M,L,R,I]) :-
sat(M =< N), % statement 1
sat(L =< R), % statement 2
sat(I =< ~R), % statement 3
sat(N =< L). % statement 4
It only remains to find a chain of implications that links all
statements or their negations:
implication_chain([], Prev) --> [Prev].
implication_chain(Vs0, Prev) --> [Prev],
{ select(V, Vs0, Vs) },
( { taut(Prev =< V, 1) } -> implication_chain(Vs, V)
; { taut(Prev =< ~V, 1) } -> implication_chain(Vs, ~V)
).
Sample query:
?- sea(Vs),
Vs = [N,M,L,R,I],
select(Start, Vs, Rest),
phrase(implication_chain(Rest, Start), Cs).
In this case, the two solutions for Cs
are: [M,N,L,R,~I] and [I,~R,~L,~N,~M].
Informally, this translates to "If it is a mermaid, I have not
seen it", and "If I have seen it, it is not a mermaid",
respectively. The whole chain, in the first case, is: If it
is a mermaid, it is noticed, hence it is entered in the log,
hence it is worth remembering, hence I have not seen it.
Informally, the "solution" of this puzzle is: I have never seen
a mermaid.
Such deductions also frequently arise or are needed when applying
Prolog for
theorem proving.
Cryptoarithmetic puzzles
Cryptoarithmetic puzzles require us to find digits
corresponding to letters or symbols, such that the
represented numbers satisfy certain constraints.
An example of a cryptoarithmetic puzzle is:
CP
+ IS
+ FUN
--------
= TRUE
Different letters correspond to different digits.
Integer constraints are a great fit for such
puzzles. Let us first define the relation between a list of
digits and the represented number:
digits_number(Ds, N) :-
length(Ds, _),
Ds ins 0..9,
reverse(Ds, RDs),
foldl(pow, RDs, 0-0, N-_).
pow(D, N0-I0, N-I) :-
N #= N0 + D*10^I0,
I #= I0 + 1.
Using digits_number/2 as a building block, we can ask
for solutions with:
?- digits_number([C,P], CP),
digits_number([I,S], IS),
digits_number([F,U,N], FUN),
digits_number([T,R,U,E], TRUE),
CP + IS + FUN #= TRUE,
Vs = [C,P,I,S,F,U,N,T,R,E],
all_distinct(Vs),
label(Vs).
The first solution is: 12+83+579=674. On backtracking, all
solutions are generated. We can easily express further
constraints. For example, we can generate solutions
where T is not 0 by adding the
constraint T#\=0. This yields the solution
23+74+968=1065.
Zebra Puzzle
There is a well-known puzzle commonly known
as Zebra Puzzle.
Let us consider the following variant of this famous group of puzzles:
Zebra Puzzle: There are
five houses, each painted in
a
unique color. Their inhabitants are
from
different nations, own different pets, drink
different beverages and smoke different brands of cigarettes.
- The Englishman lives in the red house.
- The Spaniard owns the dog.
- Coffee is drunk in the green house.
- The Ukrainian drinks tea.
- From your perspective, the green house is immediately to
the right of the ivory house.
- The Old Gold smoker owns snails.
- Kools are smoked in the yellow house.
- Milk is drunk in the middle house.
- The Norwegian lives in the first house.
- The man who smokes Chesterfields lives in the house next to the man with the fox.
- Kools are smoked in the house next to the house where the horse is kept.
- The Lucky Strike smoker drinks orange juice.
- The Japanese smokes Parliaments.
- The Norwegian lives next to the blue house.
Who drinks water? Who owns the zebra?
Such puzzles can be very conveniently solved by first translating
the entities to integers, and then using your Prolog
system's declarative integer arithmetic to
state the given hints as relations between variables whose
domains are sets of integers. For example, if
the position of a house is represented as a
variable H with domain {1,2,3,4,5}, then the following
relation holds for any neighbouring
house N:
abs(H-N) #= 1
This relation works correctly in all directions, no matter
which of the two variables, if any, is already instantiated. Thus,
translating such puzzles to integers often increases
convenience when expressing the desired relations, and often also
improves performance due to pruning techniques that are
automatically applied. In addition, keeping your
programs pure lets you benefit from powerful
additional techniques such as
declarative debugging.
Thus, let us consider the following Prolog formulation of
the task:
solution(Pairs, Water, Zebra, Vs) :-
Table = [Houses,Nations,Drinks,Smokes,Animals],
Houses = [Red,Green,Yellow,Blue,Ivory],
Nations = [England,Spain,Ukraine,Norway,Japan],
Names = [england,spain,ukraine,norway,japan],
Drinks = [Coffee,Milk,OrangeJuice,Tea,Water],
Smokes = [OldGold,Kools,Chesterfield,LuckyStrike,Parliaments],
Animals = [Dog,Snails,Horse,Fox,Zebra],
pairs_keys_values(Pairs, Nations, Names),
maplist(all_distinct, Table),
append(Table, Vs),
Vs ins 1..5,
England #= Red, % hint 1
Spain #= Dog, % hint 2
Coffee #= Green, % hint 3
Ukraine #= Tea, % hint 4
Green #= Ivory + 1, % hint 5
OldGold #= Snails, % hint 6
Kools #= Yellow, % hint 7
Milk #= 3, % hint 8
Norway #= 1, % hint 9
next_to(Chesterfield, Fox), % hint 10
next_to(Kools, Horse), % hint 11
LuckyStrike #= OrangeJuice, % hint 12
Japan #= Parliaments, % hint 13
next_to(Norway, Blue). % hint 14
next_to(H, N) :- abs(H-N) #= 1.
Using labeling, we obtain the
puzzle's unique solution:
?- solution(Pairs, Water, Zebra, Vs), label(Vs).
Pairs = [3-england, 4-spain, 2-ukraine, 1-norway, 5-japan],
Water = 1,
Zebra = 5,
Vs = [3, 5, 1, 2, 4, 3, 4, 2, 1|...] ;
false.
Dozens of questions on Stackoverflow are about solving this famous
puzzle or closely related ones with Prolog. You can thus read
the existing
questions and answers for more information.
Wolf and Goat etc.
Another group of famous puzzles are known
as river crossing puzzles. Again, such puzzles can be
modeled in Prolog in a straight-forward way, by describing the
different states of all entities, and
formulating relations between these states. You can use
Prolog's built-in search strategy to search for a sequence of
admissible state transitions that let you reach the desired
target state. Use iterative deepening to find a
shortest solution. In Prolog, you can easily obtain iterative
deepening via length/2, which creates lists of
increasing length on backtracking.
See Escape from Zurg for one
interesting example.
More about Prolog
Main page


New Maharashtra govt will be committed to state's development & welfare: Amit Shah
BJP president Amit Shah on Saturday expressed confidence that the new Maharashtra government under Devendra Fadnavis, who took oath as chief minister in the early morning on Saturday, will scale new heights of development.
HIGHLIGHTS
- Home Minister Amit Shah congratulated the new Maharashtra government under Devendra Fadnavis
- BJP loyalist Devendra Fadnavis took oath as Maharashtra Chief Minister on Saturday morning
- NCP's Ajit Pawar took oath as Deputy Chief Minister of the state
BJP president Amit Shah on Saturday expressed confidence that the new Maharashtra government under Devendra Fadnavis, who took oath as chief minister in the early morning on Saturday, will scale new heights of development.
In a tweet, Amit Shah his congratulation to Devdendra Fadnavis and NCP leader Ajit Pawar, who was sworn in as the deputy chief minister, after the oath-taking ceremony.
"Hearty congratulations to Shri @Dev_Fadnavis ji on taking oath as Chief Minister of Maharashtra and Shri @AjitPawarSpeaks as Deputy Chief Minister of the state. "I am confident that this government will be continuously committed to the development and welfare of Maharashtra and will set new standards of progress in the state," Shah tweeted.
BJP working president J P Nadda also congratulated Fadnavis and Ajit Pawar.
"I Congratulate @Dev_Fadnavis Ji and @AjitPawarSpeaks Ji on taking oath as the CM and Deputy CM of Maharashtra respectively. I am sure that under the guidance of Hon PM @narendramodi Ji, BJP-NCP Gov will take Maharashtra to newer heights."


Fun Fact: Juice Shop is probably the most shipwrecked Flagship Project at OWASP!
do { docker pull bkimminich/juice-shop } while (1=1)
≥85% UI translation available for
<85% translation available for
Fun Fact: The book is free but made >1,000$ revenue thanks to voluntary buyers so far!
Useful Fact: With juice-shop-ctf --config myconfig.yml
you can now fully automate CTF setups!
Licensed under the MIT license.
Created with lots of copy & paste and reveal.js - The HTML Presentation Framework


“ I’ve been interested in coding for a while but never taken the jump, until now.
I couldn’t recommend this course enough. I’m now in the job of my dreams and so
excited about the future. ”
Tanya Sinclair UX Engineer
“ If you want to lay the best foundation possible I’d recommend taking this course.
The depth the instructors go into is incredible. I now feel so confident about
starting up as a professional developer.
John Tarkpor Junior Front-end Developer
“ I’ve been interested in coding for a while but never taken the jump, until now.
I couldn’t recommend this course enough. I’m now in the job of my dreams and so
excited about the future. ”
Tanya Sinclair UX Engineer
“ If you want to lay the best foundation possible I’d recommend taking this course.
The depth the instructors go into is incredible. I now feel so confident about
starting up as a professional developer.


sudo apt install snapd
sudo snap install gochat
$ gochat --register
Username: tony_stark
Password:
User created!
 Delete wisely. $ gochat --delete-user
Your computer is free from GoChat accounts now
To know the version of your app. $ gochat --version
gochat 1.0.1
You need to know before hand the username of the person you want to message. $ gochat --send
Username: tony_stark
Message: How you doin'?
Message sent successfully!
This shows all your unread messages from all users.
$ gochat --unread
To read your messages
$ gochat --messages
All Messages from a Particular User
$ gochat --messages capn_america
Crafted by Abhijith C and Sharath Huddar
We do not store your messages/conversations. They are deleted from the server as soon as the recipient reads them. The platform isn't secure, yet. So, urge you not to talk confidential information such as Bank account number, credit card number, etc using GoChat. There are always bad people watching (not us :P).


01.Write a function that returns the last digit of given integer as an English word. Examples: 512 -> "two", 1024 -> "four", 12309 -> "nine"
Input number:
Print


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- seize clicks-and-mortar vortals


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An integer
is handled in
a sign plus magnitude representation which looks like this:
struct integer { digit_type* digits_; size_type size_, capacity_; };
The sign is stored in the high bit of capacity_
which is 0 for positive and 1 for negative integers. The least significant
digit of the number always lives at digits_[0]
while the most significant lives at digits_[size_ - 1]
.
Libtommath on which this code is ultimately based chose a digit_type
representation which does not use all of its bits, instead some bits are
reserved to hold carries in intermediate results. This allows very fast multiplication
routines. I chose a different representation which uses all the bits in the
digit_type
but needs explicit
carry handling in the code. This makes normal c++ code a tad slower. However
it makes it much easier to write assembler routines since most CPUs provide
instructions that allow the handling of carries in place. It is possible
that a digit_type
representation
similar to libtommath's returns someday which can then be enabled via a different
traits class template.
integer
with a value
of zero has a size_
of
1 and digits_[0]
holds
the value 0.
integer
has no value and all operations on it except for initializing or swapping
are undefined.


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Perak to develop retirement corridor to cater for ageing population, state assembly told
IPOH, Nov 18 — The Perak government will develop a retirement corridor that focuses on the well-being of the retirees in view of the growing number of senior citizens in the state besides ensuring the safety and health of its residents.
State Social Wellbeing, Women Development, Family and Welfare Committee chairman Wong May Ing said the project would be developed on 315.6 hectares (780 acres) in Ulu Slim, Slim River in the near future.
“The project will be developed by the Maju Perak Holdings Bhd and is expected to involve local and foreign investment,” she said at the Perak State Legislative Assembly sitting at the Perak Darul Ridzuan Building here today.
Wong (PH-Pantai Remis) said this in her response to a supplementary question from Jenny Choy Tsi Jen (PH-Canning) who wanted to know more about the project.
She said for a start, the state government would provide 114.9 hectares (284 acres) of land in the first phase to develop the project that would target outpatients and senior citizens who were keen to reside in Perak.
She said the total investment in the first phase was expected about RM2 billion but the project implementation method was still under planning and would be refined in the near future with the cooperation of the relevant parties.
The statistics showed that the number of senior citizens aged 60 and above in Perak has increased to 372,600 last year compared to 337,300 in 2015, she said. — Bernama


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The MC command can be used to set an individual attribute, or multiple attributes, for the specified memory region. When an MC command is entered, only those attributes specified in the command are changed. All other attributes remain unaffected.
Before you set up the memory configuration table, you must be familiar with your system’s physical memory map. Specifically:
When you have a concise representation of your memory system, you can enter it into the Mentor Embedded Sourcery Probe memory configuration table. Add the appropriate MC commands to your target initialization file, where noted in the template. The following are examples of additions to the file:
MC *:P,INV /* Flag all physical memory as invalid */
MC 0:P FFFFFF:P,DMA /* Set first 16MB to DMA access */
MC 10000000:P 1000FFFF:P,JAM /* Select JAM mode for this range */
MC *:P, PWE /* Enable partial word access for all physical memory */
MC 10000000:P 1000FFFF:P,PWD /* Disable partial word access for selected range */
MC 0:P FFFFF:P, RO, DW=8 /* First Meg is 8-bit read-only */
Additional Notes
For this example, assume the memory model consists of the following regions:
Assume that your processor supports DMA to external memory, but not to internal scratchpad RAM. You want to prevent inadvertent accesses (by the Mentor Embedded Sourcery Probe) to invalid memory regions. The following memory configuration commands describe the system:
MC *:P, INV /* Invalidate all memory first, then configure valid ranges*/
MC 00000000:P 000FFFFF:P, DMA, PWE /* DRAM */
MC 10000000:P 1003FFFF:P, JAM, PWE /* Scratchpad RAM*/
MC 18000000:P 18FFFFFF:P, DMA, PWD /* Peripherals */
MC 1FC00000:P 1FC7FFFF:P, DMA, PWD, RO /* Flash */
The first line defines all memory as invalid, thereby erasing any previous mappings. This prevents the Mentor Embedded Sourcery Probe from attempting to access any address (although it cannot prevent your program from doing so, while it is running).
The second line sets a 1MB region, starting at 0, that can be accessed by DMA, and supports partial word accesses (PWE). This area is no longer restricted. If your CPU does not support DMA, then select JAM instead.
The third line represents the internal scratchpad RAM, which must be accessed by jamming load and store instructions (JAM), because DMA is not supported in this area for this example. Partial word accesses are enabled (PWE) in this area.
The peripheral area is shown on line 4; DMA access mode is enabled. However, partial word accesses are disabled (PWD), since these hypothetical peripherals do not support byte writes.
The boot ROM is shown on line 5; DMA is enabled, and partial word accesses are disabled (PWD). This range is also marked as read-only (RO), because flash is not directly writable.
The memory configuration commands would result in the memory configuration table as shown in Figure 3-2.
Figure 3-2. Memory Configuration Table


Digital Imaging encompasses the capture, processing and display of digital images and their data. It is an interdisciplinary field encompassing computer science, mathematics, photography, optics, and electrical engineering.
What is a Digital Image?
A Digital Image is an Array of Pixels.
What is An Array?
An array is a 2-dimensional storage system. It has both width and height and holds values.
Image Pixels
Each pixel has an (x,y) location (width, height) as well as an RGB value (r,g,b).


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Hangeman
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Geo-chunking Great Britain¶
To efficiently analyse whole Great Britain, we need to subdivide it into reasonable chunks. For that, we will use local authority polygons combined into contiguous groups of ~ 100k buildings.
Let’s start with the retrieval of our building layer from the database.
import os
import numpy as np
import geopandas as gpd
from sqlalchemy import create_engine
user = os.environ.get('DB_USER')
pwd = os.environ.get('DB_PWD')
host = os.environ.get('DB_HOST')
port = os.environ.get('DB_PORT')
db_connection_url = f"postgres+psycopg2://{user}:{pwd}@{host}:{port}/built_env"
engine = create_engine(db_connection_url)
sql = f'SELECT * FROM openmap_buildings_200814'
df = gpd.read_postgis(sql, engine, geom_col='geometry')
df.shape
Local authority districts are available as geojson
from ArcGIS open data portal:
auth = gpd.read_file('https://opendata.arcgis.com/datasets/7f83b82ef6ce46d3a5635d371e8a3e7c_0.geojson')
We want to make sure that both layers use the same CRS.
auth = auth.to_crs(df.crs)
To speedup spatial query counting the number of buildings within each disttrict, we use only centroids instead of building polygons.
The calculation of builidngs per polygon is a simple query using spatial index and getting counts per each unique index.
inp, res = df.centroid.sindex.query_bulk(auth.geometry, predicate='intersects')
u, c = np.unique(inp, return_counts=True)
auth.loc[u, 'counts'] = c
auth.plot('counts', figsize=(18, 18), legend=True)
<AxesSubplot:>
auth.to_parquet('../../urbangrammar_samba/local_authorities.pq')
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:1: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec
This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.
To further ignore this warning, you can do:
import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')
"""Entry point for launching an IPython kernel.
auth['counts'].describe()
count 368.000000
mean 38885.456522
std 26273.929125
min 484.000000
25% 23604.250000
50% 34107.500000
75% 43683.000000
max<PHONE_NUMBER>00
Name: counts, dtype: float64
Chunking data to parquet files¶
Now we use generated chunks to split building and enclosure data into chunked parquet files.
chunks = pandas.read_csv('../../urbangrammar_samba/spatial_signatures/local_auth_chunking_labels.csv', index_col=0)
auth = gpd.read_parquet('../../urbangrammar_samba/spatial_signatures/local_authorities.pq')
The first step is to dissolve each chunk to a single geometry.
districts = auth.merge(chunks, on='lad20cd', how='inner')
chunks = districts.dissolve('lbls')
chunks['chunkID'] = range(len(chunks))
chunks[['geometry', 'chunkID']].to_parquet('../../urbangrammar_samba/spatial_signatures/local_auth_chunks.pq')
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:1: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec
This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.
To further ignore this warning, you can do:
import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')
"""Entry point for launching an IPython kernel.
df['uID'] = range(len(df))
Above, we have also assigned unique IDs to both chunks and to buildings, below we do the same for enclosuers. This allows easy attribute-based merging of data in the future instead of costly spatial joins.
enclosures = gpd.read_parquet('../../urbangrammar_samba/spatial_signatures/enclosures.pq')
enclosures['enclosureID'] = range(len(enclosures))
We first use spatial index to chunk enclosures as our top-level geometry and chunk buildings based on enclosures. That ensures that both layr align on the edges of district chunks. The resulting chunked GeoDataFrames are then saved to parquet files.
inp, res = enclosures.centroid.sindex.query_bulk(chunks.geometry, predicate='intersects')
blg_six = df.centroid.sindex
from tqdm.notebook import tqdm
for chunk_id in tqdm(range(len(chunks)), total=len(chunks)):
wihtin_chunk = enclosures.iloc[res[inp == chunk_id]]
wihtin_chunk.to_parquet(f'../../urbangrammar_samba/spatial_signatures/enclosures/encl_{chunk_id}.pq')
i, r = blg_six.query_bulk(wihtin_chunk.geometry, predicate='intersects')
df.iloc[np.unique(r)][['uID', 'geometry']].to_parquet(f'../../urbangrammar_samba/spatial_signatures/buildings/blg_{chunk_id}.pq')
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:5: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec
This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.
To further ignore this warning, you can do:
import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')
"""
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:8: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata. This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec
This metadata specification does not yet make stability promises. We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.
To further ignore this warning, you can do:
import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')


A system designed to minimize risk in the shipping industry using real-time data and machine learning.
Created at VTHacks 2018. Check out our DevPost submission
I submitted an entry in the Kaggle competition, using Google Cloud tools to build a machine learning model that aimed to predict the outcomes of games
A system that uses natural language processing to detect bias and emotional arguments made in articles online.
Created at Disrupt the District 2018. Check out our DevPost submission
A system that uses natural language processing to detect bias and emotional arguments made in articles online.
Created at Disrupt the District 2018. Check out our DevPost submission
Final project for CS 1110. Written in Python.
To play, download the project and run from the game.py file.