README.md

DAY 1	DAY 2	DAY 3
	Coffee and the day before (optional)
Introduction and motivation	Conditions	Visualization I
Installation and tools	Loops	Visualization II
	Functions
		Introduction Datathon
Variables and data types	Libraries	Datathon
Numbers and operators	Scientific python
Data structures	Pandas	Datathon
		Presentations
Q&A		What else is there?

Further Resources

Basics

• learnpython.org

  • interactive python basics tutorial

• Springboard - Data Analysis with Python, SQL, and R

  • starts with - Solo Learn and Design of Computer Programs

• Scipy Lectures

  • Python introduction with a focus on scientific computing

• official tutorial

Advanced

• Fluent Python
• Intermediate Python Programming Course (6h) on Youtube
• Hitchhiker's Guide to Python

Python Installations

In this course we use Google Colab to execute notebooks. Notebooks are text files allowing the combination of Text, Code and the output of code. Colab offers an extended set of pre-installed tools. See the tutorial series.

Anaconda offers for your private computer an extended installations, including most tools you will ever need for Python. Use the Anaconda Navigator to launch applications.