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CS Concepts
ccai-cmap edited this page Jul 22, 2025
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Explanations of the theory behind this repository.
The scripts in this repository depend on many built-in Python packages.
- Argparse: a package which provides functionality for reading arguments from the command line. Here is a tutorial which will provide everything that you need to know. (To be honest, I know only the very basics.)
- Pandas: a package for data analysis, or should I say THE package for data analysis. Here is a cheat sheet for working with pandas. You do not need SAS if you have pandas. However, pandas is NOT a catch-all for everything! Keep your for loops and pandas dataframes separate for the best functionality (combining them leads to poor performance.)
- NetworkX: a package for working with graphs. You do not need to write your own shortest path algorithms! NetworkX has you covered.
The modules in this repository are classes, which is a way to group together related variables (attributes) and functions (methods). The reason they are classes rather than functions is because the objects which are created will change state.