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DAY 1	DAY 2	DAY 3
Morning coffee (optional)	Morning coffee (optional)	Morning coffee (optional)
Introduction and Motivation	Pandas	Recap Quiz
Variables and data types
Coffee break	Coffee break	Coffee break
Iterables I	Pandas	Visualization
Coffee break
Iterables II
Lunch	Lunch	Lunch
Booleans, operators and conditions	Pandas	Virtual envs and installations
Coffee break	Coffee break	Coffee break
Loops	Pandas	Dataset Exercise
Functions	Q & A	Q & A

Detailed Program:

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

• codecademy

  • Interactive website with many beginners code tutorials. Requires sign-up but base content is free.

• 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.