Support material for MAT6115, Université de Montréal
Course webpage: https://sites.google.com/view/mat6215h22/home](https://sites.google.com/view/mat6215/home)
Most code will take the form of a Jupyter Python Notebook. Usual scientific libraries will be used (i.e. numpy, scipy, matplotlib). For those of you new to Python and/or Jupyter notebooks, I recommend using an environemt manager like Anaconda or miniconda. I may occasionally post some MATLAB code (although I promise to try to avoid it).
- Conda (Anaconda/miniconda): https://conda.io/docs/user-guide/install/index.html
- Jupyter : http://jupyter.org/install