Workshop with Ellen and Charles, two scientists from Makerere University Kampala, Uganda, together with Clein and Rolf from HSRW

• Download and install of QGIS
• Download and install anaconda
• conda environment creation
• installation of libraries according to
  https://github.com/rolfbecker/EE_3.07_Geodata_WS2022/tree/main/gdms0020_Course_Preparation
• Correction of packages: jupyterlab pandas geopandas shapely fiona pyproj rasterio sqlalchemy psycopg2 ipython-sql bs4
• https://cs231n.github.io/python-numpy-tutorial/ up to numpy

Extra material:

• pandas tutorial (comprehensive):
  https://github.com/ageron/handson-ml3/blob/main/tools_pandas.ipynb

• * Finished the numpy tutorial from cs231. Skipped the image processing for now
• * Followed partially the hands-on-ml3 tutorial (tools_pandas.ipynb). Material covered:
• * import pandas and alias
• * Series: create from list, give index, give name, create from dictionary. slicing, alignment, plotting
• * Handle time with pd.date_range()
• * Creating a Dataframe: by dictionary.
• * selecting columns, accesing values, filtering, transposing. skipped multi-indexing, stacking and unstacking,
• * datafream read: read_csv and read_excel. And dat frame write

Homework: explore the real data: https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Excel%2FAfrica-dams_eng.xlsx?alt=media&token=b621f090-60cf-46f1-8472-9003ce314066

• first notebook gnb0101_DWD_

To correct:

1. 1) Explain what the grabfile function is doing with doc string
2. 2) Show them what the problem of the file is by uploading in QGIS
3. 3) Let them import the file by themselves, So they see the problem again
4. 4) Notice that station ID is being read as integer. So correct that by a dtype dictionary
5. 5) Update the administrative boundaries links

• geopandas notebook gnb0131_Geopandas_

To correct:

1. Give the LL and UR coordinates and let the. figure out the rest
2. Show an example of usage for Point and for Line in shapely. Ask then for creating the polygon
3. geopandas as a tool to have data frames with georeferenced data. So let them use the example and modify the data as they need it
4. Show how to find the correct item in the documentation
5. Let them practice by repeating the steps with a different bounding box or with a different shape

• gnb0135_beutifulsoup_DTM scrapper

To correct:

1. For didactic reasons, makes more sense to have the imports together with the section that they are being used into
2. Ask the students to copy one file name as example.
3. run the helper function there to see the output
4. let them do again a polygon with that output
5. Now look at the full picture and let them do the lists by themselves
6. create the gdf and give them the previous notebook as parallel.
7. Instructions on how to change the visibility and display the labels on QGIS. Maybe add a clipping operation or an intersection.