# Python Introduction 2023W 070128-1 Methodological course - Analyzing Central Europe's Intellectual Heritage ## General Shortcuts `Ctrl + Shift + X`: extension manager `Ctrl + Shift + P`: command palette `Ctrl + Shift + G`: source control view ## Repository Setup 1. fork this repository in GitLab to have a private copy 2. open VS Code 3. clone git repository via command palette: `Git: Clone` - use `https` and not `ssh` with your username and password - if asked, open cloned repository in a new window 4. download an image from the internet and add it to this readme 5. make a git commit via the source control view and push the changes to GitLab ## Python Setup 1. create virtual environment `.venv` via command palette: `Python: Create environment` 2. install project requirements - open a new terminal via menu: (`Terminal > New Terminal`) - verify you are using the virtual environment - install dependencies via python packet manager `pip install -r requirements.txt` - list the installed packages via python packet manager `pip freeze` - close the terminal 3. open the first Jupyter Notebook and install package if needed ## Part 1 - Web Resources This notebooks gives an introduction how to us data sources from the internet using the [`requests`](https://requests.readthedocs.io/en/latest/) library. ## Part 2 - XML Data Parsing and analysis of TEI-XML data using [`lxml`](https://lxml.de/) library. ## Part 3 - CSV Data Analysis of spreadsheets with [`pandas`](https://pandas.pydata.org/) data frames. ## Part 4 - Image Data Manipulation of images with [`Pillow`](https://python-pillow.org/) and object detection using [`ultralytics`](https://www.ultralytics.com/)