Online Resources:

Books:

• Automate the Boring Stuff with Python

• Beyond the Basic Stuff with Python

• Python for Data Analysis

• Python crash course

Tutorials and references:

• python.org : comprehensive Python site.

• https://docs.python.org/3/tutorial : Python tutorial.

• w3schools : Python tutorial.

• programiz : Python tutorial.

• https://perso.limsi.fr/pointal/_media/python:cours:abregepython-english.pdf : Python Reference Card

• https://app.datacamp.com : Online data scinece courses. Please accept my email invitation and start working on the assigned courses.

Coding tools:

• jupyter.org : Web-based development environment.

• quarto.org : Publishing system. Converts jupyter notebooks to several formats (html,pdf,word).

Python libraries:

• NumPy : arrays, matrices. Wikipedia page, Quickstart, Tutorial, w3 NumPy tutorial

• pandas : data manipulation. Wikipedia page, w3 Pandas tutorial, 10 minutes to pandas

• matplotlib : plotting. Wikipedia page, w3 Matplotlib tutorial

• SciPy : scientific computing. Wikipedia page

• scikit-learn : machine leraning. Wikipedia page