Computer Science E 75 Building Dynamic Websites [repost]

Practice and apply R programming concepts for effective statistical and data analysis

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

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.

Master version control, containerization, and configuration for DevOps.

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.

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.

Building practical, maintainable and scalable applications using TypeScript

An in-depth video course that covers advanced Swift programming and focuses on writing highly performant, elegant, and readable code

Doing any kind of serious work on a UNIX or Linux system requires a confident understanding of shell scripting. Unfortunately, many people fear the command line and just don't know where to start.

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