• Antonin Blot
• George Dimitriadis
• Jesse Geerts
• Francesca Greenstreet
• Stephen Lenzi
• Goncalo Lopez
• Arne Meyer
• Maxime Rio
• Charly Rousseau

Week 01, 27/02: Introduction to the pyclub, Python and the programming tools used in the class

• Learn about the pyclub and the program for the year.
• Understand the objectives of PyStarters.
• Basic style - writing pythonic code (python3, import/packages, modules, enumerate …) to ease sharing.
• Basic tools (pycharm, jupyter …).
• The python interpreter.
• The python documentation.
• Setting up a python environment (hands on).
• Introduction to next week’s exercises

Weeks 02 - 03, 13/03 - 27/03:Built in Python data types and Jupyter.

• Learn about environments.
• Work with anaconda.
• Master Jupyter.
• Learn to manipulate python built in variables efficiently.
• Learn about ducktyping in python (e.g. for iterables)
• introduction to the STL ?

Weeks 04 - 05, 10/04 - 14/04: Version control

• Introduction to the concept of VCS.
• Install and learn basic git usage.

Weeks 06 - 07, 24/04 - 08/05: Functions and Procedural programming

• Modularising programs into functions
• Pass by value vs pass by reference
• The python import system
• Docstrings

Weeks 08 - 09, 29/05 - 12/06: Python science libraries

• Numpy (efficient array operations)
• Scipy
• Matplotlib (graphics)

Weeks 10 - 11, 26/06 - 10/07: Follow up of week 5

Weeks 12 - 13, 24/07 - 14/08: Object oriented programming

• Introduction to OO programming in Python
• Special methods and operator overloading

Weeks 14 - 15, 28/08 - 11/09: Exceptions and testing

• Exception handling
• Defining custom exceptions
• Introduction to software testing
• Unit testing with pytest

Weeks 16 - 17, 25/09 - 16/10: Packaging

• distutils
• setuptools
• conda recipes

Weeks 18 - 21, 30/10, 13/11, 27/11, 11/12: Selection of topics between GUI programming, profiling and optimisation, scripting, R in python for statistics