DAY 1	DAY 2	DAY 3
	Coffee and the day before (optional)
Introduction and motivation	Conditionals	Visualization I
Tools	Loops	Visualization II
Variables and data types	Functions
Numbers and operators
Importing data	Numpy	Datathon Example datasets
Data structures	Pandas	Datathon Example datasets
		Presentations

Program June 2021

Further Resources

Cheat Sheets

• Basics:
  • Getting started
  • Importing Data
  • Jupyter Notebook
• Data Science:
  • Numpy
  • Pandas
  • Scipy
  • Scikit-learn
• Visualization:
  • Matplotlib
  • Plot.ly
  • Seaborn
  • Bokeh

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.