Training and experiments

Tutorials, Python + JavaScript walkthroughs, and examples of various topics. I put this together to make it easier to remember specific things I have done over the years and put them up. However examples are availible for anyone

Python:

General topics

• Functions vs Object Oriented Programming
• How class (object) inheritance works in Python
• Multi-processing in Python (not to be confused with async io)
• Creating a simple REST API with Flask
• Benchmark test of file formats to use when doing Data Analysis

Network Analysis

• Creating visuals of graphs (using igraph.plot())

Good external resources:

• Cheatsheet on pandas DataFrame processing (external)

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Repo info

This repository has the following structure

├── imgs                    # Folder for images that are rendered in the notebooks
├── data                    # Placeholder folders for any data used in the experiments
│   ├── bronze              # For raw data that is collected for any experiments
│   ├── silver              # Semi-processed data converted from the bronze (raw) version
│   └── gold                # Cleaned data that is made available for analysis
├── src                     # Place for support scripts and python code used for the library
└── notebooks               # Notebooks that explore specific concepts