Learn the core aspects of JavaServer Faces that provide you strong fundamentals and set the right skills needed to become a production player focused on quality and performance
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.
Master version control, containerization, and configuration for DevOps.
Dive into the core architectural components and concepts of Angular 2 to develop strongly structured, versatile web applications
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.
Program applications with Dart 1.0, a language specifically designed to produce better-structured, high-performance applications