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.

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:

• Jupyter Tutorial

• Python für Data Science

• PyViz-Tutorial

• cusy Design-System: Datenvisualisierung

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