This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.

New extension pack bundles wildly popular tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler.

Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data science workflows.

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? originally appeared on Quora: the place to gain and share knowledge, empowering ...