Repository made to easily store python snippets to ease of reference. This project was heavily inspired by Jason Roell's post on Medium, Ultimate Python Cheat Sheet: Practical Python for Everyday Tasks.
A lot of the snippets contained in the Jupyter Notebooks are initially from his article.
You can quickly go to a notebook, based on the main theme:
| Theme | Description | Link |
|---|---|---|
| Strings | Basic String Operations | notebook |
| Mathematical Operations | Basic Mathemathical Operations | notebook |
| Working With Lists | Basic List Operations | notebook |
| More Advanced List Comprehensions | WIP | |
| Working with Dictionaries | WIP | notebook |
| Working With Files | General file Operations | notebook |
| Working With HTTP API | General HTTP Requests | notebook |
| RegEx (Regular Expressions) | WIP | |
| Working with OS | WIP | |
| Working with CLI | WIP | |
| Working with Dates and Times | WIP | |
| Pandas Library (Dataframes) | Basic Pandas DataFrame manipulation | notebook |
| Numpy Library (Array) | Basic Array Manipulation with NumPy | notebook |
| Matplotlib (Data Visualization) | Basic Matplotlib plotting | notebook |
| Matplotlib + Pandas | WIP | |
| Seaborn (Data Visualization) | WIP | |
| Scikit-Learn (Machine Learning) | WIP | |
| Plotly (Interactive Data Visualization) | WIP | |
| Decorators | WIP | notebook |
| Object Oriented Programming | WIP | |
| Function Overloading | Function and Method Overloading in Python | notebook |
| Working with Databases | WIP | |
| Working with AsyncIO | WIP | |
| Networks, Sockets, and Network Interfaces | WIP | |
| GraphQL | WIP | |
| Web Scraping | WIP | |
pip (Package Management) |
WIP | |
| Common Built-in Functions and Packages | WIP |
The idea behind this project is that you can check each code snippet directly on GitHub. If you want to run each of those snippets yourself, after cloning the project you should:
- Initiate a virtual environment:
python -m venv .venv- Activate the virtual environment:
- (windows)
.\venv\Scripts\activate- macOS and Linux:
source .venv/bin/activate- Install the dependencies:
pip install -r requirements.txt
Remember: Always deactivate your virtual environment when you're done coding. You can do this by simply typing:
deactivate