The script `create_kernel.sh` will create a kernel json file in the user's home directory that can be found
The script `create_kernel.sh` will create a kernel json file in the user's home directory that can be found
by Jupyter and a helper script in the virtual environment folder.
by Jupyter and a helper script in the virtual environment folder.
The script `create_interpreter.sh` creates a python interpreter wrapper script in the user's home directory (`~/.local/share/python/interpreter/<venv_name>/python`).
You can set this newly created wrapper script as python interpreter in your favorite IDE for remote development and debugging. See further instructions [here](https://gitlab.jsc.fz-juelich.de/niesel1/howtos-ai/-/blob/main/RemoteDebuggingWithVSCode.ipynb).
# Intended Workflow
# Intended Workflow
...
@@ -52,3 +54,4 @@ by Jupyter and a helper script in the virtual environment folder.
...
@@ -52,3 +54,4 @@ by Jupyter and a helper script in the virtual environment folder.
4. Edit `setup.sh` and `activate.sh` to add extra steps for custom modules.
4. Edit `setup.sh` and `activate.sh` to add extra steps for custom modules.
5. Create the environment with `bash setup.sh`.
5. Create the environment with `bash setup.sh`.
6. Create a kernel with `bash create_kernel.sh`.
6. Create a kernel with `bash create_kernel.sh`.
7. Create a python interpreter wrapper with `create_interpreter.sh`.
