Merge pull request #187 from ncasuk/edit-README

Draft: Tidy repo

Author: nf679

README.md

@@ -1,23 +1,6 @@
 # Introduction to Scientific Computing course
 This repository holds teaching materials for the NCAS Introduction to Scientific Computing course.  
 
-## Overview  
-
-The course covers:  
-- Introduction to the Linux shell
-  - [Presentations and Exercises](https://ncasuk.github.io/ncas-isc-shell/)
-- Python Setup
-  - [Logging in to the JASMIN Notebook Service ](https://github.com/ncasuk/ncas-isc/blob/main/setup/Logging_in_to_the_JASMIN_Notebook_Service.pdf)
-- Git and GitHub
-  - [Presentation](https://github.com/ncasuk/ncas-isc/tree/main/version_control)  
-  - [Exercise](https://github.com/ncasuk/ncas-isc/tree/main/version_control)
-- Introduction to Python
-  - [Python Introduction Slides](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/README.md) 
-  - [Exercises - Jupyter Notebooks](https://github.com/ncasuk/ncas-isc/tree/main/python-intro/exercises) | [Solutions](https://github.com/ncasuk/ncas-isc/tree/main/python-intro/solutions) 
-- Data manipulation and visualisation in Python (Working with Data)
-  - [Python working with data Slides](https://github.com/ncasuk/ncas-isc/tree/main/python-data/README.md) 
-  - [Exercises - Jupyter Notebooks](https://github.com/ncasuk/ncas-isc/tree/main/python-data/exercises) | [Solutions](https://github.com/ncasuk/ncas-isc/tree/main/python-data/solutions)
-
 ## Index  
 ### Overview Presentations  
 * [Algorithmic thinking](https://github.com/ncasuk/ncas-isc/blob/main/working_practices/Algorithmic_thinking.pdf)  
@@ -37,35 +20,37 @@ The course covers:
 
 | Lesson | Exercise | Solution |
 | ------ | -------- | -------- |
-| [Running and quitting](https://swcarpentry.github.io/python-novice-gapminder/01-run-quit.html) | [Exercise 01](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex01_running_notebooks.ipynb) | [Solution 01](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex01_running_notebooks.ipynb) |
-| [Variables and assignment](https://swcarpentry.github.io/python-novice-gapminder/02-variables.html) | [Exercise 02](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex02_variables_assignment.ipynb) | [Solution 02](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex02_variables_assignment.ipynb) |
-| [Data types and type conversion](https://swcarpentry.github.io/python-novice-gapminder/03-types-conversion.html) | [Exercise 03](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex03_data_types.ipynb) | [Solution 03](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex03_data_types.ipynb) |
-| [Built-in functions and Help](https://swcarpentry.github.io/python-novice-gapminder/04-built-in.html) | [Exercise 04](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex04_built_in_functions.ipynb) | [Solution 04](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex04_built_in_functions.ipynb) |
-| [Libraries](https://swcarpentry.github.io/python-novice-gapminder/06-libraries.html) | [Exercise 05](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex06_libraries.ipynb) | [Solution 05](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex06_libraries.ipynb) |
-| [Reading tabular data into data frames](https://swcarpentry.github.io/python-novice-gapminder/07-reading-tabular.html) | [Exercise 06](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex07_dataframes.ipynb) | [Solution 06](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex07_dataframes.ipynb) |
-| [Pandas data frames](https://swcarpentry.github.io/python-novice-gapminder/08-data-frames.html) | [Exercise 07](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex08_pandas_dataframes.ipynb) | [Solution 07](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex08_pandas_dataframes.ipynb) |
-| [Plotting](https://swcarpentry.github.io/python-novice-gapminder/09-plotting.html) | [Exercise 08](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex09_plotting.ipynb) | [Solution 08](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex09_plotting.ipynb) |
-| [Lists](https://swcarpentry.github.io/python-novice-gapminder/11-lists.html) | [Exercise 09](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex11_lists.ipynb) | [Solution 09](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex11_lists.ipynb) |
-| [For loops](https://swcarpentry.github.io/python-novice-gapminder/12-for-loops.html) | [Exercise 10](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex12_for_loops.ipynb) | [Solution 10](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex12_for_loops.ipynb) |
-| [Conditionals](https://swcarpentry.github.io/python-novice-gapminder/13-conditionals.html) | [Exercise 11](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex13_conditionals.ipynb) | [Solution 11](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex13_conditionals.ipynb) |
-| [Looping over data sets](https://swcarpentry.github.io/python-novice-gapminder/14-looping-data-sets.html) | [Exercise 12](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex14_looping_data_sets.ipynb) | [Solution 12](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex14_looping_data_sets.ipynb) |
-| [Writing functions](https://swcarpentry.github.io/python-novice-gapminder/16-writing-functions.html) | [Exercise 13](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex16_writing_functions.ipynb) | [Solution 13](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex16_writing_functions.ipynb) |
-| [Variable scope](https://swcarpentry.github.io/python-novice-gapminder/17-scope.html) | [Exercise 14](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex17_variable_scope.ipynb) | [Solution 14](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex17_variable_scope.ipynb) |
-| [Programming style](https://swcarpentry.github.io/python-novice-gapminder/18-style.html) | [Exercise 15](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex18_programming_style.ipynb) | [Solution 15](https://github.com/ncasuk/ncas-isc/blob/main/python-intro/exercises/ex18_programming_style.ipynb) |
+| [Running and quitting](https://swcarpentry.github.io/python-novice-gapminder/01-run-quit.html) | [Exercise 01](/python-intro/exercises/ex01_running_notebooks.ipynb) | [Solution 01](/python-intro/solutions/ex01_running_notebooks.ipynb) |
+| [Variables and assignment](https://swcarpentry.github.io/python-novice-gapminder/02-variables.html) | [Exercise 02](/python-intro/exercises/ex02_variables_assignment.ipynb) | [Solution 02](/python-intro/solutions/ex02_variables_assignment.ipynb) |
+| [Data types and type conversion](https://swcarpentry.github.io/python-novice-gapminder/03-types-conversion.html) | [Exercise 03](/python-intro/exercises/ex03_data_types.ipynb) | [Solution 03](/python-intro/solutions/ex03_data_types.ipynb) |
+| [Built-in functions and Help](https://swcarpentry.github.io/python-novice-gapminder/04-built-in.html) | [Exercise 04](/python-intro/exercises/ex04_built_in_functions.ipynb) | [Solution 04](/python-intro/solutions/ex04_built_in_functions.ipynb) |
+| [Libraries](https://swcarpentry.github.io/python-novice-gapminder/06-libraries.html) | [Exercise 05](/python-intro/exercises/ex05_libraries.ipynb) | [Solution 05](/python-intro/solutions/ex05_libraries.ipynb) |
+| [Reading tabular data into data frames](https://swcarpentry.github.io/python-novice-gapminder/07-reading-tabular.html) | [Exercise 06](/python-intro/exercises/ex06_dataframes.ipynb) | [Solution 06](/python-intro/solutions/ex06_dataframes.ipynb) |
+| [Pandas data frames](https://swcarpentry.github.io/python-novice-gapminder/08-data-frames.html) | [Exercise 07](/python-intro/exercises/ex07_pandas_dataframes.ipynb) | [Solution 07](/python-intro/solutions/ex07_pandas_dataframes.ipynb) |
+| [Plotting](https://swcarpentry.github.io/python-novice-gapminder/09-plotting.html) | [Exercise 08](/python-intro/exercises/ex08_plotting.ipynb) | [Solution 08](/python-intro/solutions/ex08_plotting.ipynb) |
+| [Lists](https://swcarpentry.github.io/python-novice-gapminder/11-lists.html) | [Exercise 09](/python-intro/exercises/ex09_lists.ipynb) | [Solution 09](/python-intro/solutions/ex09_lists.ipynb) |
+| [For loops](https://swcarpentry.github.io/python-novice-gapminder/12-for-loops.html) | [Exercise 10](/python-intro/exercises/ex10_for_loops.ipynb) | [Solution 10](/python-intro/solutions/ex10_for_loops.ipynb) |
+| [Conditionals](https://swcarpentry.github.io/python-novice-gapminder/13-conditionals.html) | [Exercise 11](/python-intro/exercises/ex11_conditionals.ipynb) | [Solution 11](/python-intro/solutions/ex11_conditionals.ipynb) |
+| [Looping over data sets](https://swcarpentry.github.io/python-novice-gapminder/14-looping-data-sets.html) | [Exercise 12](/python-intro/exercises/ex12_looping_data_sets.ipynb) | [Solution 12](/python-intro/solutions/ex12_looping_data_sets.ipynb) |
+| [Writing functions](https://swcarpentry.github.io/python-novice-gapminder/16-writing-functions.html) | [Exercise 13](/python-intro/exercises/ex13_writing_functions.ipynb) | [Solution 13](/python-intro/solutions/ex13_writing_functions.ipynb) |
+| [Variable scope](https://swcarpentry.github.io/python-novice-gapminder/17-scope.html) | [Exercise 14](/python-intro/exercises/ex14_variable_scope.ipynb) | [Solution 14](/python-intro/solutions/ex14_variable_scope.ipynb) |
+| [Programming style](https://swcarpentry.github.io/python-novice-gapminder/18-style.html) | [Exercise 15](/python-intro/exercises/ex15_programming_style.ipynb) | [Solution 15](/python-intro/solutions/ex15_programming_style.ipynb) |
+| [Wrap Up / Summary](/python-intro/exercises/ex16_wrap_up.ipynb) |
 
 ## Python - Working with Data
 
 | Lesson | Exercise | Solution |
 | ------ | -------- | -------- |
-| __xarray:__ Introduction to [multidimensional arrays](https://geohackweek.github.io/nDarrays/01-introduction/), [xarray](https://geohackweek.github.io/nDarrays/02-xarray-architecture/) and [indexing](https://geohackweek.github.io/nDarrays/03-label-based-indexing/) | [Exercise 01]() | [Solution 01]() |
-| __xarray:__ [Plotting]() and [Indexing]() | [Exercise 02]() | [Solution 02]() |
-| __xarray:__ [GroupBy processing]() and [masking]() | [Exercise 03]() | [Solution 03]() |
-| [cf-python]() | [Exercise 04]() | [Solution 04]() |
-| [matplotlib]() | [Exercise 05]() | [Solution 05]() |
-| [numpy]() | [Exercise 06]() | [Solution 06]() |
-| [netCDF4]() | [Exercise 07]() | [Solution 07]() | 
-| [Weather Exercise]() | [Exercise 08]() | [Solution 08]() |
-| [Sentinel Data Exercise]() | [Exercise 09]() | [Solution 09]() |
+| __xarray:__ Introduction to [multidimensional arrays](https://geohackweek.github.io/nDarrays/01-introduction/), [xarray](https://geohackweek.github.io/nDarrays/02-xarray-architecture/) and [indexing](https://geohackweek.github.io/nDarrays/03-label-based-indexing/) | [Exercise 01](/python-data/exercises/ex01_xarray_intro.ipynb) | [Solution 01](/python-data/solutions/ex01_xarray_intro.ipynb) |
+| __xarray:__ [Plotting](https://geohackweek.github.io/nDarrays/04-plotting/) and [Aggregation](https://geohackweek.github.io/nDarrays/05-aggregation/) | [Exercise 02](/python-data/exercises/ex02_plotting_and_aggregation.ipynb) | [Solution 02](/python-data/solutions/ex02_plotting_and_aggregation.ipynb) |
+| __xarray:__ [GroupBy processing](https://geohackweek.github.io/nDarrays/07-groupby-processing/) and [masking](https://geohackweek.github.io/nDarrays/09-masking/) | [Exercise 03](/python-data/exercises/ex03_groupby_processing_and_masking.ipynb) | [Solution 03](/python-data/solutions/ex03_groupby_processing_and_masking.ipynb) |
+| [cf-python]() | [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) | 
+| [netCDF advanced](https://unidata.github.io/netcdf4-python/#dealing-with-time-coordinates) | [Exercise 08](/python-data/exercises/ex08_netcdf4_advanced.ipynb) | [Exercise 08](/python-data/solutions/ex08_netcdf4_advanced.ipynb) |
+| Weather Exercise | [Exercise 09a](/python-data/exercises/ex09a_weather_api.ipynb) | [Solution 09b](/python-data/solutions/ex09a_weather_api.ipynb) |
+| Sentinel Data Exercise | [Exercise 09b](/python-data/exercises/ex09b_satellite_data.ipynb) | [Solution 09b](/python-data/solutions/ex09b_satellite_data.ipynb) |
 
 
 ## Useful materials and resources

old_material/data_old_materials/solutions/ex04_weather_api_solutions.ipynb old_material/data_old_materials/solutions/ex04a_weather_api_solutions.ipynb

@@ -15,6 +15,8 @@ Presentation material is used from the links listed below:
 4. [cf-python]()
 5. [matplotlib](https://matplotlib.org/stable/users/explain/quick_start.html)
 6. [numpy](https://numpy.org/doc/stable/user/quickstart.html)
-7. [NetCDF4](https://unidata.github.io/netcdf4-python/#tutorial)
+7. [NetCDF4 basics](https://unidata.github.io/netcdf4-python/#tutorial)
+8. [NetCDF4 advanced](https://unidata.github.io/netcdf4-python/#dealing-with-time-coordinates)
+9. [Weather Exercise](./exercises/ex09a_weather_api.ipynb) and [Satellite Exercise](./exercises/ex09b_satellite_data.ipynb)
 
-Each of these has an equivalent notebook in the [exercises](/python-data/exercises) folder with the solutions in the [solutions](python-data/solutions) folder. 
+Each of these has an equivalent notebook in the [exercises](./exercises) folder with the solutions in the [solutions](./solutions) folder. 

python-data/README.md

@@ -11,13 +11,19 @@
     "tags": []
    },
    "source": [
-    "# Exercise 7a: NetCDF4 Basics"
+    "# Exercise 7: NetCDF4 Basics"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "0ac81b88-7771-4404-89cd-d9ec233651d7",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Aim: Introduce the netCDF4 library in Python to read and create NetCDF4 Files."
    ]

python-data/exercises/ex07a_netcdf4_basics.ipynb python-data/exercises/ex07_netcdf4_basics.ipynb

@@ -5,13 +5,19 @@
    "id": "22542fd5-6792-4df8-9122-fe35f3e4ddf5",
    "metadata": {},
    "source": [
-    "# Exercise 7b: NetCDF4 Advanced"
+    "# Exercise 8: NetCDF4 Advanced"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "b8bc8ade-8ef9-4caa-b734-d0a0df52a450",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Aim: Introduce more advanced uses of the netCDF4 library in Python to read and create NetCDF4 Files."
    ]