These are my go-to libraries for Python data crunching.

Image by author created from Jupiter photo by NASA and Pandas photo by Pascal Müller on Unsplash I started a self-study path to learn the theoretical fundamentals of Data Science and Machine Learning.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...