ULSA Python Workshop - 2022-09-09

Workshop by Clein Sarmiento and Rolf Becker from HSRW on 2022-09-09

Preparation

Install the Anaconda Python Data Science Suite
Download ulsa_ws_v003.zip containing the workshop Python code
Download nicaragua_geothermal_scraper_v001.zip

Impressions

Student workshop at ULSA with Clein and Rolf, 2022-09-09

Code Snippets to Handle the Conda Environment

This code is to be executed in a terminal. I extended the list of software packages to be installed to run all provided workshop examples. Mac and Linux users just open a standard terminal. On Windows open the Anaconda Powershell prompt.
Execute the following code:

# create conda environment including installation of all necessary packages
conda create -c conda-forge -n ulsa python=3 jupyterlab ipywidgets numpy pandas scipy scikit-learn matplotlib plotly seaborn 
 
# activate conda environment                                                                       
conda activate ulsa
 
# other packages: web scraper
conda install -c conda-forge beautifulsoup4
 
# other packages: web dashboards with dash/plotly
conda install -c conda-forge jupyter-dash dash dash-core-components dash-html-components
 
# start Jupyter-Lab (<Ctrl>-C in the terminal to exit jupyter-lab)
jupyter-lab
 
# leave conda envoronment and change to the base (default) environment
conda deactivate
 
# remove environment (in case you want to delete it)
# conda env remove -n ulsa

Further Github Links to Lecture Material of R. Becker, HSRW

Scientific Programming, Lecture EE_2.06, Environment and Energy Program, HSRW
Geodata Management Systems, Lecture EE_3.07, Environment and Energy Program, HSRW