- Guillaume Lemaitre @glemaitre - Inria, Université Paris-Saclay
If you have a GitHub account, it is probably most convenient if you clone or fork the GitHub repository. You can clone the repository by running:
git clone https://github.com/glemaitre/x_exed_10_2018.git
If you are not familiar with git or don’t have an GitHub account, you can download the repository as a .zip file by heading over to the GitHub repository (https://github.com/glemaitre/x_exed_10_2018) in your browser and click the green “Download” button in the upper right.
Please note that we may add and improve the material until shortly before the tutorial session, and we recommend you to update your copy of the materials one day before the tutorials. If you have an GitHub account and cloned the repository via GitHub, you can sync your existing local repository with:
git pull origin master
If you don’t have a GitHub account, you may have to re-download the .zip archive from GitHub.
This tutorial will require recent installations of
For users who do not yet have the required packages installed, a relatively painless way to install all the requirements is to use a Python distribution such as Anaconda, which includes the most relevant Python packages for science, math, engineering, and data analysis; Anaconda can be downloaded and installed for free including commercial use and redistribution. The code examples in this tutorial should be compatible to Python 2.7, Python 3.4-3.6.
We provided an environment.yml
file allowing to specifically install
the required packages into a specific conda
environment. You can
create this environment by entering the following command:
conda env create -f environment.yml
Once the packages installed, you can activate the environment:
conda activate tutorial-visualization
You will be able to use Jupyter Lab or Notebook by executing either:
jupyter notebook
or
jupyter lab
- The NumPy introduction
01_numpy
was originally presented in the Python workshop by the CDS by Bartosz Telenczuk. - The Pandas introduction
02_pandas
was originally presented in the Python workshop by the CDS by Joris Van den Bossche.