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~~NOTOC~~
====== UNICAES Python Workshop - 2022-09-01 ======

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

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


| {{ :latinet:unicaes:unicaes_ws_ph001.jpeg?nolink&400 |}} |
| Fig.: Great audience! :-) |

===== Import Antigravity =====

| {{https://imgs.xkcd.com/comics/python.png?400}}                 |
| Fig.: **Import antigravity**. \\ Source: https://xkcd.com/353/  |


===== Preparation =====

  * Install the **[[https://www.anaconda.com/|Anaconda Python Data Science Suite]]**
  * Download **{{:latinet:unicaes:unicaes_ws_v002.zip |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:

<code bash>
# 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>


===== 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 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>

===== Video Recordings (unfortunately with very bad sound quality) =====

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

===== Additional Information =====

  * [[https://cs231n.github.io/python-numpy-tutorial/|Python tutorial]] from [[http://cs231n.stanford.edu/|CS231n: Deep Learning for Computer Vision]] Course at Stanford
  * CS231n [[https://cs231n.github.io/|Github Repo]]