Defcon Usa 2015

James Shore presents a fascinating screencast on rigorous, professional JavaScript development. Real-world JavaScript development, warts and all. In the Recorded Live channel, we develop a real-time multi-user web application from scratch. Every episode deals with the issues professionals face in the real world. Mistakes, setbacks, and triumphs: it’s all here for you to see and learn from.

You've tried to figure out what all those technical terms are all about (WTF is a reducer??) and you may even be convinced that you need a degree in Computer Science to be able to use Redux. You don't.

After taking this course, you can start mastering ExpressJS by building RESTful APIs for your single-page applications (powered by AngularJS, ReactJS, BackboneJS or any other front-end framework). With ExpressJS, developers can easily organize their code (middleware pattern), add more functionality (npm modules) and configure the server (configuration over convention).

Today, Wi-Fi is everywhere, and the need to provide good Wi-Fi is an essential part of doing business. But “good Wi-Fi” is not just about coverage or converting your APs to 802.11ac or 802.11ax. Good Wi-Fi means that your user experience is seamless. Most of the wireless networks today are designed to support only data applications and not real-time applications. In recent years, more and more companies are deploying real-time applications, and enterprise-quality is expected.

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful. You'll also know how to install Numpy.

Scraping data from webpages can be a tedious job. But it doesn’t have to be. With Scrapy, you can scrape using XPath or CSS. With the large number of examples from both techniques, you’re sure to find a solution that fits for you. Whether your targeting data on a single page or multiple, Scrapy can handle the job. No matter if the data is within a list, you can scrape specific patterns right out of the list. Building up your specific Scrapy job isn't a difficult task. Scrapy is a Python library. If you're familiar with Python, XPath or CSS, you'll feel right at home using Scrapy.

Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward. With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions.

Unlock the power of Angular 2 to take over the world of modern web development

A beginner’s guide to creating your own application with Python

Git has emerged as the leading revision control system for open source projects. Git is a distributed revision control and source code management (SCM) system with an emphasis on speed.