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, ...

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. No question about it, Python is a crucial part of modern data science.

Microsoft announced a new extension pack for Visual Studio Code that bundles tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler. The new Python Data Science ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

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

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio. Posit has introduced Positron, a new, free integrated development ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.