Open Source, Pythonic, Distributed Programming Book for Next-Generation Data Science and AI Applications

Python has become the de facto programming language for data science and artificial intelligence. Data scientists often use Python to perform a wide range of tasks. This book is primarily focused on addressing the limitations of Python parallelism, with a particular emphasis on applications in the field of data science.

If you would like to contribute, please refer to the following two files.

The Build Guide provides detailed instructions on how this book is written, including cloning the code repository, setting up the development environment, and deploying to GitHub Pages.

The Style Guide provides detailed guidelines on file naming conventions, writing style, code conventions, diagramming tools, and more.