Tutorials for LFRic (unstructured) data handling, using Iris and related tools.

The content is all written as interactive Jupyter notebooks, which combine presenter information and student exercises.

For guaranteed operation with tested package versions, create a environment from the provided "lockfile", as follows :
$ conda create --name meshtut_safelocked_env --file tutorial_conda_env_resolved.lock

Run Jupyter lab, in the chosen Python environment.
NOTE: always start it in the /notebooks directory.

E.G.

$ conda activate meshtut_safelocked_env
$ cd iris-mesh-tutorial/notebooks
$ jupyter lab
    [I 2023-01-12 15:39:10.730 ServerApp] jupyter_server_terminals | extension was successfully linked.
    [I 2023-01-12 15:39:10.737 ServerApp] jupyterlab | extension was successfully linked.
 . . .
    [I 2023-01-12 15:39:11.114 ServerApp] Serving notebooks from local directory: /net/home/h05/itpp/git/iris-mesh-tutorial
    [I 2023-01-12 15:39:11.114 ServerApp] Jupyter Server 2.0.6 is running at:
    [I 2023-01-12 15:39:11.114 ServerApp] http://localhost:8888/lab?token=c4ece2e59cd8c81779de0f394c421e22f258f50466cc027e
    [I 2023-01-12 15:39:11.114 ServerApp]  or http://127.0.0.1:8888/lab?token=c4ece2e59cd8c81779de0f394c421e22f258f50466cc027e
    [I 2023-01-12 15:39:11.114 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
    [C 2023-01-12 15:39:11.734 ServerApp] 
        
        To access the server, open this file in a browser:
            file:///net/home/h05/itpp/.local/share/jupyter/runtime/jpserver-90840-open.html
        Or copy and paste one of these URLs:
            http://localhost:8888/lab?token=c4ece2e59cd8c81779de0f394c421e22f258f50466cc027e
         or http://127.0.0.1:8888/lab?token=c4ece2e59cd8c81779de0f394c421e22f258f50466cc027e

A window should then appear in your browser.
Failing that, visit one of the urls displayed in the terminal output.

Open the notebook Mesh_Tutorial_Intro.ipynb.

The lockfile tutorial_conda_env_resolved.lock is produced from an actual resolved environment.

To build a working env with all-latest packages, do the following :

Step 1: build a fresh env from the spec

• The env spec is in the file tutorial_conda_env.yml
• use a conda env with "mamba" in it (since conda is likely to take ages and/or run out of memory)
• resolve the env

  $ conda activate mamba-env
  $ mamba env create -n mesh-tutorial --file tutorial_conda_env.yml

• test that this actually works, by running all the notebooks

Step 2: make a new version of the lockfile

• use a conda env with 'ssstack' in it (https://github.com/MetOffice/ssstack)
• snapshot the new env content, and replace web-proxy urls to convert it to a "shareable" lockfile

  $ conda activate ssstack-env
  $ conda list -n mesh-tutorial --explicit >temp_condalist_explicit.txt
  $ ssstack shareable temp_condalist_explicit.txt >tutorial_conda_env_resolved.lock
  $ rm temp_condalist_explicit.txt

Step 3: upload changes in a PR