HMMA238 - Programmation et bonnes pratiques (2018-2019)

Light intro to numpy and scipy for maths
python
programming
scipy
numpy
Illustration of the Python ecosystem for data science, for core packages in the center, to more advanced packages in the periphery.

This is a master level course introducing scientific computing and modern software practices. The new website for this course is here: https://github.com/bcharlier/HMMA238

We will discover some component of the Python scientific ecosystem

Syllabus:

version 2018-2019

Polycopié:

Introduction à Python, version 2018-2019 (en cours de rédaction)

Cours: notebooks

1-Intro-Python.ipynb, 1-Intro-Python.html, hello-world.py

2-Numpy-Matplotlib.ipynb, 2-Numpy-Matplotlib.html

3-Scipy.ipynb, 3-Scipy.html

4-Pandas.ipynb, 4-Pandas.html

5-Statsmodels.ipynb, 5-Statsmodels.html

6-TempsMemoire.ipynb, force.css, force.html, force.js, force.json, 6-TempsMemoire.html

7-Numba.ipynb, 7-Numba.html

8-Git.pdf

Exemple de projet LaTeX:

Plus d’information et quelques sources de données: