Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Technical Introduction The proliferation of heterogenous computing and associated complexity of multiple vendor hardware offerings introduces a combinatorial explosion in platform diversity. From the ...

Python for Everybody: Coursera Python 3 Programming: Coursera Applied Data Science with Python: Coursera Data Science Fundamentals with Python and SQL: Coursera Introduction to Programming with Python ...

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 ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Regardless of your career choice, you will always need a ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...