This is one of the 100+ free recipes of the IPython Cookbook, Second Edition, by Cyrille Rossant, a guide to numerical computing and data science in the Jupyter Notebook. The ebook and printed book are available for purchase at Packt Publishing.
▶ Text on GitHub with an CC-BY-NC-ND license
▶ Code on GitHub with an MIT license
Chapter 2 : Best practices in Interactive Computing
This is a special chapter about good practices in interactive computing. It describes how to work efficiently and properly with the tools this book is about. We will introduce common tools such as the Unix shell, the latest features of Python 3, and git, before tackling reproducible computing experiments (notably with the Jupyter Notebook).
We will also cover more general topics in software development, such as code quality, debugging, and testing. Attention to these subjects can greatly improve the quality of our end products (for example, software, research, and publications). We will only scratch the surface here, but you will find many references to learn more about these important topics.