Node.js Essentials Livelessons (video Training)

A comprehensive guide to fast and efficient functional JavaScript Web Development with Lo-Dash 4.0

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.

Dive into the core architectural components and concepts of Angular 2 to develop strongly structured, versatile web applications

Architect your automation workflow using Grunt

Angular 2 promises to reshape the world of JavaScript application development, reaching deeper into offline apps and offering smoother approaches for restructuring existing apps. This set of talks will help you find your way into the new possibilities, whether you’re working from existing code or starting fresh.

Secure your network with ease by leveraging this step-by-step tutorial on the powerful Wireshark 2

Comprehensive guide to learn data science for a Julia programmer, right from the exploratory analytics part to the visualization part.

Large Scale Network Design LiveLessons takes you through the concepts behind stable, scalable, elegant network design, including modularity, resilience, layering, and security principles. This livelesson will focus on traditional distributed link state, distance vector, and path vector routing protocols, as well as the basic principles of centralized control planes (such as OpenFlow). A special point will be made of sorting out the relationship between policy and reachability, and where they can best be managed in a large scale network.

Tackle common machine learning problems with Google’s TensorFlow library and build deployable solutions