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Manual

Execute the Jupyter notebooks

This course content is provided as Jupyter notebooks that require to be powered by a Jupyter server with Python3 kernel.

Install Jupyter and other dependencies

First install Anaconda

Anaconda is easy to install but the installer is quite heavy to download because it contains a lot of components. In particular, it is shipped with:

• Jupyter
• The Spyder IDE
• Scipy libraries: Numpy, Pandas, etc.

For a detailed installation of Anaconda and its extensions on Windows, Mac or Linux, follow the instructions.

Finalize installation with conda

From the project root directory, create the virtual environment containing all the python dependencies:

conda env create -f environment.yml

Activate the environment:

conda activate cours-python

Run a Jupyter notebook

Start a Jupyter server

• Either from Anaconda graphical interface
• or from the command line interface from the project root directory:

jupyter-notebook

Execute a notebook

• Download and extract the archive of the first chapter
• In the Jupyter, open the .ipynb file
• Execute the notebook using the menu "Cell > Run All"

Optional: build and publish

If you want be able to build and publish this course material, follow these instructions .