UNICAES Python Workshop - 2022-09-01

Workshop by Clein Sarmiento and Rolf Becker from HSRW on 2022-09-01

About HSRW

Fig.: Great audience!

Import Antigravity

Fig.: Import antigravity.
Source: https://xkcd.com/353/

Preparation

Install the Anaconda Python Data Science Suite
Download unicaes_ws_v002.zip containing the workshop Python code

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 unicaes jupyterlab ipywidgets numpy pandas scipy scikit-learn matplotlib plotly seaborn 
 
# activate conda environment                                                                       
conda activate unicaes
 
# 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 unicaes

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 unicaes jupyterlab ipywidgets numpy pandas scipy scikit-learn matplotlib plotly seaborn 
 
# activate conda environment                                                                       
conda activate unicaes
 
# 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 unicaes

Video Recordings (unfortunately with very bad sound quality)

Part 1: https://youtu.be/3x-HB5OIHwg
Part 2: https://youtu.be/eLAwMHvp8EE

Additional Information

Python tutorial from CS231n: Deep Learning for Computer Vision Course at Stanford
CS231n Github Repo