TP GIS

GIS4, Modélisation avancée

Python ressources

• MOOC python https://www.fun-mooc.fr/fr/cours/python-3-des-fondamentaux-aux-concepts-avances-du-langage/
• MOOC scikit-learn (by scikit-learn maintainers) https://www.fun-mooc.fr/fr/cours/machine-learning-python-scikit-learn/
• Tuto numpy https://sebastianraschka.com/blog/2020/numpy-intro.html
• Tuto pandas https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html

Run Jupyter notebook online

1. NIPALS :
2. MICE :
3. Régression :
4. Effets aléatoires :
5. Régressions discrètes :

Run locally

Python

Install dependencies using pip3

In a terminal, run

sudo apt install python3-pip

pip3 install -r requirements.txt

Run jupyter

Go to https://jupyter.org/ for more information.

In a terminal, run

jupyter lab

Convert a jupyter notebook to a pdf

Use nbconvert package.

pip3 install nbconvert

It requires pandoc and latex

sudo apt-get install pandoc
sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic

In your notebook, run all cells and save the notebook in pdf. In a terminal, run:

jupyter nbconvert --to pdf my_notebook.ipynb

R

Install

In an R console:

install.packages(c("mvtnorm", "FactoMineR", "mice", "VIM", "lattice"))

Running and converting R markdown:

install.packages(c("knitr", "rmarkdown"))