Set up an environment following a requirement file

We will be using Python 3.11 for the seminar, with a set of dependencies, including Numpy, Pandas, Jupyter Lab, etc.

1. You could create such an environment named pyclass as follows:

   # conda create -n pyclass python=3.11 numpy matplotlib pandas jupyterlab
   

   But to make things easier here, we provide you with a file to describe the whole environment, called environment.yml, so just type the following command:

   mamba env create -f environment.yml
   

   You will be able to install any missing packages in your environment later, for example:

   conda install networkx  # slow
   mamba install networkx  # fast
   

   Warning    If you don't have your computer with you, an environment has been prepared for you on school's computers. Ask assistants about it.

2. Now, every time you want to run any Python script or Jupyter Lab, you should start by activating the environment as explained in the output you get when you create an environment.

   

   # To activate this environment, use
   #
   #     $ conda activate pyclass
   #
   # To deactivate an active environment, use
   #
   #     $ conda deactivate
   

3. One more thing: set up your environment in your Visual Studio Code workspace.

   

   • double click on pyclass.code-workspace in the folder you cloned from GitHub. If your system seems confused, open Visual Studio Code first, then File > Open Workspace... ;
   • open any Python file in your environment;

   • select the Python version corresponding to the pyclass environment.

     • Click on the Python version:
       

     • Here, both options are ok, but we recommend “Entire workspace”:
       

     • Pick the proper Python version:
       

Now you should be ready to proceed!

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