Microsoft recently created a stir after revealing it was taking some ideas from the popular Rust programming language to create a new language for 'safe infrastructure programming' under the banner ...

Overview: Small hands-on Python projects help young learners understand loops, variables, and logic naturally through ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

For decades, fierce debates have raged over the benefits of different programming languages over others: Java vs. C++; Python vs. Ruby; Flask vs. Django. While often waged with fervor by computer ...

Introduction to Lisp and programming knowledge-based systems and interfaces. Strong emphasis on writing maintainable, extensible systems. Topics include: semantic networks, frames, pattern matching, ...

To succeed at Computer Science, you need to be logical and meticulous. As you learn to do programming, you’ll go step by step and line by line. Soon you will get the hang of it: you’ll come to ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...