~~NOTOC~~

====== ULSA Python Workshop - 2022-09-09 ======

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

**[[:latinet:hsrw:about_hsrw|About HSRW]]**


===== Preparation =====

  * Install the **[[https://www.anaconda.com/|Anaconda Python Data Science Suite]]**
  * Download **{{ :latinet:ulsa:ulsa_ws_v003.zip |}}** containing the workshop Python code
  * Download **{{ :latinet:ulsa:nicaragua_geothermal_scraper_v001.zip |}}** 


===== Impressions =====

| {{ :latinet:ulsa:16627390439903459414805255233526.jpg?direct&400 |}} |
| {{youtube>2cxsUUp4RXE?400}} |
| 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:

<code bash>
# 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
</code>

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

  * **[[https://github.com/rolfbecker/EE_2.06_SciProg_SS2022|Scientific Programming]], Lecture EE_2.06, [[https://www.hochschule-rhein-waal.de/en/faculties/communication-and-environment/degree-programmes/bachelor-degree-programmes/environment-an|Environment and Energy Program]], HSRW**
  * **[[https://github.com/rolfbecker/EE_3.07_Geodata_WS2021|Geodata Management Systems]], Lecture EE_3.07, [[https://www.hochschule-rhein-waal.de/en/faculties/communication-and-environment/degree-programmes/bachelor-degree-programmes/environment-and|Environment and Energy Program]], HSRW**