Merge pull request #197 from ncasuk/isc2024

Add Sadie's content.
ncasuk · Nov 20, 2024 · 4ef4245 · 4ef4245
2 parents d17769e + b035e12
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diff --git a/README.md b/README.md
@@ -44,7 +44,7 @@ This repository holds teaching materials for the NCAS Introduction to Scientific
 | __xarray:__ Introduction to [multidimensional arrays](https://tutorial.xarray.dev/fundamentals/01_data_structures.html), [xarray data structures](https://tutorial.xarray.dev/fundamentals/01_datastructures.html) and [indexing](https://tutorial.xarray.dev/fundamentals/02.1_indexing_Basic.html) | [Exercise 01a](/python-data/exercises/ex01a_xr_intro.ipynb) [Exercise 01b](/python-data/exercises/ex01b_xr_label_based_indexing.ipynb)| [Solution 01a](/python-data/solutions/ex01a_xr_intro.ipynb) [Solution 0b](/python-data/solutions/ex01b_xr_label_based_indexing.ipynb)|
 | __xarray:__ [Plotting](https://tutorial.xarray.dev/fundamentals/04.1_basic_plotting.html) and [Aggregation](https://tutorial.xarray.dev/fundamentals/03.1_computation_with_xarray.html) | [Exercise 02a](/python-data/exercises/ex02a_xr_plotting.ipynb) [Exercise 02b](/python-data/exercises/ex02b_xr_aggregation.ipynb)| [Solution 02a](/python-data/solutions/ex02a_xr_plotting.ipynb) [Solution 02b](/python-data/solutions/ex02b_xr_aggregation.ipynb)|
 | __xarray:__ [GroupBy processing](https://tutorial.xarray.dev/fundamentals/03.2_groupby_with_xarray.html) and [masking](https://tutorial.xarray.dev/intermediate/indexing/boolean-masking-indexing.html) | [Exercise 03a](/python-data/exercises/ex03a_xr_groupby.ipynb) [Exercise 03b](/python-data/exercises/ex03b_xr_masking.ipynb)| [Solution 03a](/python-data/solutions/ex03a_xr_groupby.ipynb) [Solution 03b](/python-data/solutions/ex03b_xr_masking.ipynb)|
-| [cf-python]() | [Exercise 04](/python-data/exercises/ex04_cf_python.ipynb) | [Solution 04](/python-data/solutions/ex04_cf_python.ipynb) |
+| [cf-python](/python-data/notebooks/intro_to_ncas_cf_data_tools.ipynb) | [Exercise 04](/python-data/exercises/ex04_cf_python.ipynb) | [Solution 04](/python-data/solutions/ex04_cf_python.ipynb) |
 | [matplotlib](https://matplotlib.org/stable/users/explain/quick_start.html) | [Exercise 05](/python-data/exercises/ex05_matplotlib.ipynb) | [Solution 05](/python-data/solutions/ex05_matplotlib.ipynb) |
 | [numpy](https://numpy.org/doc/stable/user/quickstart.html) | [Exercise 06](/python-data/exercises/ex06_numpy.ipynb) | [Solution 06](/python-data/solutions/ex06_numpy.ipynb) |
 | [netCDF4 basics](https://unidata.github.io/netcdf4-python/#tutorial) | [Exercise 07](/python-data/exercises/ex07_netcdf4_basics.ipynb) | [Solution 07](/python-data/solutions/ex07_netcdf4_basics.ipynb) | 

diff --git a/python-data/README.md b/python-data/README.md
@@ -12,7 +12,7 @@ Presentation material is used from the links listed below:
 1. xarray: [Introduction to multidimensional arrays](https://tutorial.xarray.dev/fundamentals/01_data_structures.html), and [intro to xarray data structures](https://tutorial.xarray.dev/fundamentals/01_datastructures.html) and[label-based indexing](https://tutorial.xarray.dev/fundamentals/02.1_indexing_Basic.html).
 2. xarray: [Plotting](https://tutorial.xarray.dev/fundamentals/04.1_basic_plotting.html) and [aggregation](https://tutorial.xarray.dev/fundamentals/03.1_computation_with_xarray.html)
 3. xarray: [Groupby processing](https://tutorial.xarray.dev/fundamentals/03.2_groupby_with_xarray.html) and [masking](https://tutorial.xarray.dev/intermediate/indexing/boolean-masking-indexing.html)
-4. [cf-python]()
+4. [cf-python](./notebooks/intro_to_ncas_cf_data_tools.ipynb)
 5. [matplotlib](https://matplotlib.org/stable/users/explain/quick_start.html)
 6. [numpy](https://numpy.org/doc/stable/user/quickstart.html)
 7. [NetCDF4 basics](https://unidata.github.io/netcdf4-python/#tutorial)

diff --git a/python-data/cheat_sheets/cfpython_cheatsheet.pdf b/python-data/cheat_sheets/cfpython_cheatsheet.pdf
diff --git a/python-data/data/IPSL-CM5A-LR_r1i1p1_tas_n96_rcp45_mnth.nc b/python-data/data/IPSL-CM5A-LR_r1i1p1_tas_n96_rcp45_mnth.nc
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diff --git a/python-data/data/alpine_precip_DJF_means.nc b/python-data/data/alpine_precip_DJF_means.nc
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