Useful links
============

Some useful links
~~~~~~~~~~~~~~~~~

- `CodeRefinary Git Intro <https://coderefinery.github.io/git-intro>`_
- `Pangeo Gallery <https://gallery.pangeo.io/>`_
- `Intake-ESM <https://intake-esm.readthedocs.io/en/stable/>`_
- `ACTRIS and EBAS example notebooks <https://github.com/ACTRIS-Data-Centre/actris-jupyter-hub>`_

CMIP6 links:
~~~~~~~~~~~~
- `CMOR variable tables <https://github.com/PCMDI/cmip6-cmor-tables/blob/main/Tables/CMIP6_fx.json>`_ or `web-form <https://clipc-services.ceda.ac.uk/dreq/mipVars.html>`_
- `Variable tables. <https://airtable.com/appYNLuWqAgzLbhSq/shrKcLEdssxb8Yvcp/tblL7dJkC3vl5zQLb>`_.
- `CMIP6 infrastructure description <https://wcrp-cmip.github.io/WGCM_Infrastructure_Panel/Papers/CMIP6_global_attributes_filenames_CVs_v6.2.7.pdf>`_.


Documentation links
~~~~~~~~~~~~~~~~~~~

- `Xarray <https://docs.xarray.dev/en/stable/>`_
- `Pandas <https://pandas.pydata.org/docs/user_guide/index.html#user-guide>`_
- `pyaerocom <https://pyaerocom.readthedocs.io/en/latest/>`_
- `ESEm <https://esem.readthedocs.io/en/latest/>`_



Previous eScience Courses
=========================

- `2022 <https://pangeo-data.github.io/escience-2022/intro.html>`_

  .. collapse:: Pangeo:

      - `Pangeo <https://pangeo.io/>`_ provides infrastructure for the kind of work learned at eScience courses.
      - Get a quick overview in this short `presentation <https://docs.google.com/presentation/d/1XB9jmKlPnyAtUWRG_xzGC9h3qn_88gVSegOI3uDcaKo/edit?usp=sharing>`_.


- `2021 <https://nordicesmhub.github.io/forces-2021/intro.html>`_
- `2020 <https://nordicesmhub.github.io/forces-2020/intro.html>`_

  .. collapse:: Highlights:

     - the subsection `Examples of Python Notebooks <https://nordicesmhub.github.io/forces-2020/example-notebooks/readme.html>`_ contains fully rendered/browsable Jupyternotebooks for working with EBAS, CMIP6, and HDF data

     - on the very page of `Examples of Python Notebooks <https://nordicesmhub.github.io/forces-2020/example-notebooks/readme.html>`_ are also *external* materials about common practices related to the eScience course listed

     - the subsection `Content in Jupyter Book <https://nordicesmhub.github.io/forces-2020/content.html>`_ contains a basic intro to writing brief text in `Markdown\/MyST <https://nordicesmhub.github.io/forces-2020/markdown.html>`_ as done inside Jupyter Notebooks. Or even how to write a `tutorial inside a Jupyter Notebook <https://nordicesmhub.github.io/forces-2020/notebooks.html>`_.

- `2019 <https://nordicesmhub.github.io/NEGI-Abisko-2019/>`_

  .. collapse:: Highlights:

    - the not-fully-rendered directory `/content <https://github.com/NordicESMhub/NEGI-Abisko-2019/tree/v1.0.0/content>`_ still offers these highlights:

      - `Jupyter Notebook <https://github.com/NordicESMhub/NEGI-Abisko-2019/blob/v1.0.0/content/setup/Abisko_prep.ipynb>`_ showing data imports and quickly create overview (map-)plots

      - `Tools to explore netCDF files <https://github.com/NordicESMhub/NEGI-Abisko-2019/blob/v1.0.0/content/tools/tools.md>`_

      - more examples of various data import, small processing, and quick overview plots are in this `directory <https://github.com/NordicESMhub/NEGI-Abisko-2019/tree/v1.0.0/content/training>`_ (mostly as rendered Jupyter Notebooks)

- `2018 <https://nordicesmhub.github.io/NEGI-Andoya-2018/>`_

  .. collapse:: Highlights:

      - `Python help <https://nordicesmhub.github.io/NEGI-Andoya-2018/python.html>`_: compact tutorials (contains a few dead links)
      - `Jupyter help <https://nordicesmhub.github.io/NEGI-Andoya-2018/jupyter.html>`_: introduction to Jupyter notebooks
      - `Tools <https://nordicesmhub.github.io/NEGI-Andoya-2018/tools.html>`_: stand-alone tools for working with netCDF files
      - `Git\/Github <https://nordicesmhub.github.io/NEGI-Andoya-2018/github.html>`_: Introduction to Git and Github