Python basics¶

Welcome to Python Basics! I have written this book to provide an easy and practical introduction to Python. The book is not intended to be a comprehensive reference guide to Python, but rather the goal is to give you a basic familiarity with Python and enable you to quickly write your own programs.

The book is published under the BSD-3-Clause license, so you may adapt and publish the book for your own purposes, provided you retain the licence and copyright notice.

I would like to thank cusy GmbH for generously allowing me to spend my time writing this book. In addition, I would like to thank Kristian Rother not only for the support and advice he has given me over the years on this book, but also for the editing that has made this book better. I would also like to thank Steffen Dahlem for the idea and realisation of a more sustainable book production. Finally, my heartfelt thanks also go to the reviewers, whose insights and feedback were a great help.

Note

If you have suggestions for improvements, I would be happy to receive them.

Python basics is part of a series of tutorials on data analysis and visualisation:

All tutorials serve as seminar documents for our harmonised training courses:

Duration	Topic
3 days	Introduction to Python
2 days	Advanced Python
2 days	Design patterns in Python
2 days	Efficient testing with Python
1 day	Software documentation with Sphinx
2 days	Technical writing
3 days	Jupyter notebooks for efficient data science workflows
2 days	Numerical calculations with NumPy
2 days	Analysing data with pandas
3 days	Read, write and provide data with Python
2 days	Cleanse and validate data with Python
5 days	Visualising data with Python
1 days	Designing data visualisations
2 days	Create dashboards
3 days	Versioned and reproducible storage of code and data
Subscription of 2 hours per quarter	News from Python for data science