ekas

🚀 🚀 Let's Gear Up for TypeScript 🎉 🎉

TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. Any browser. Any host. Any OS. Open source.

Basic Types

• Boolean

let isDone: boolean = false;

veb-101

• Numpy

  • A Visual Intro to NumPy and Data Representation – Jay Alammar – Visualizing machine learning one concept at a time
  • Python NumPy Tutorial for Beginners - YouTube

• Pandas

  • A Gentle Visual Intro to Data Analysis in Python Using Pandas – Jay Alammar – Visualizing machine learning one concept at a time
  • Data analysis in Python with pandas - YouTube
  • Best practices with pandas - YouTube
  • Pandas Tutorial (Data Analysis In Python) - YouTube

• Python Pandas Complete Tutorial - YouTube

veb-101

ToDo: 
  1. Add courses for Reinforcement Learning
  2. Artificial Intelligence Search Methods for Problem Solving 

• Machine learning
  • Courses
    • Swayam-Nptel Introduction to machine learning
    • Coursera machine learning course
• Udacity machine learning course

moyix

<?php

require ' vendor/autoload.php ' ;

/**

* Handles an HTTP request that contains information for registering/unregistering

* a FNA application.

bsletten

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

rtt

Tinder API documentation

Note: this was written in April/May 2014 and the API may has definitely changed since. I have nothing to do with Tinder, nor its API, and I do not offer any support for anything you may build on top of this. Proceed with caution

http://rsty.org/

I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)

cowboy

var stream = require('readable-stream');
var Transform = stream.Transform;
var util = require('util');
var _ = require('lodash');
var $ = require('chalk')

// Just serialize a object stream into lines of JSON
function Serializer() {
  Transform.call(this, {objectMode: true});
}

whitingx

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

<meta charset='UTF-8'>
<meta name='keywords' content='your, tags'>
<meta name='description' content='150 words'>
<meta name='subject' content='your website's subject'>
<meta name='copyright' content='company name'>

sente

The MIT License (MIT)

Copyright (c) 2016 Stuart Powers

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions: