• Presentation of Python
• Organisation
• Official Program

• Developed in 1989 by Guido van Rossum
• Open source & portable
• Oriented object (class, function, …)
• Dynamic
• \(+\) other languages supported

• There exist 2 techniques to “translate” code to machine language
• Python is an interpreted language
• Pros : One can test every short piece of code
• Cons : It could be slow compared to compilation (like C++)

• Python by Practicing: we will learn Python and improve your coding skills by practicing

• An indicative scheduler:

Classes	Content
Current class	Pres + orga + Python basics
Second class	Loop,List,… + Numpy + Matplotlib
…

…: After the first classes, we will be ready to attack the modeling of concrete situations/problems !

• We will try to do according to the progression of the math courses

• Our common material will be a set of Python notebooks to complete/execute

• Notebooks will be hosted on a server which you will access through a link

• ⛔️ I will ask you not to share these resources which are exclusively reserved for you

• Almost all practical sessions (that are the main part of the course) will be on machine !

• We will work by theme:

  • statistics,
  • random variables and simulation,
  • estimation,
  • multivariate functions.

• For your own good and survival, some (but not much) practical will be done from scratch

• Several practical will be direcly linked to economics, finance and data

• ⭐️ If time, some extra will be seen (introduction to machine learning, cryptography, …)

2 options:

• download and run on your laptop (requires various packages),
• run directly on the web here.

💡If you want further details, we refer to the dedicated preliminary chapter.