latinet:ulsa:start
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
Impressions
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
latinet/ulsa/start.txt · Last modified: 2023/01/05 14:38 by 127.0.0.1