To create the virtual environment of the training, cd in the root directory of the
training (py-edu-fr) and run
PDM should install a Python virtual environment in the directory py-edu-fr/.venv. Let
us use the command ls .venv to see what is in this new directory.
We can now activate the environment to use it (i.e. to use the software installed in this
environment):
source .venv/bin/activate
or just (in this case, the first . means source)
On Windows, this might result in an error related to the
Restrictive Execution Policy.
A solution is to run the following command in a PowerShell session started as
administrator (run only this command; the activation should then be performed as a normal
user in a new terminal):
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
If you cannot do this yourself, please ask your administrator for assistance.
After activation of the environment, the command `python` should correspond to the Python
of the virtual environment. Let us check that with:
::::{tab-set}
:::{tab-item} Windows
```powershell
Get-Command python
```
:::
:::{tab-item} macOS and Linux
```sh
which python
```
:::
What is the output? Does it make sense?
Note that the virtual environment can also be used without activation. In a new
terminal, cd in the root directory of the training and open a JupyterLab server with:
You should now have two terminals opened: