Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

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, ...

As this post has mentioned a few times, it is accompanied by a recently published tutorial on how to use Python asyncio, which we encourage anyone interested in using the technology to read.

The new data-science tutorial offers tips on using VS Code and the Microsoft Python extension with popular libraries to do tasks like training and evaluating a model, and using TensorFlow to ...

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 ...