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https://github.com/tdr-void/master-python

This repository follows the path I've taken to learn Python from scratch, continuing towards mastery and exploring Machine Learning.
https://github.com/tdr-void/master-python

jupyter-notebook python

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This repository follows the path I've taken to learn Python from scratch, continuing towards mastery and exploring Machine Learning.

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README

        

# Master-Python

Welcome to the **Master-Python** repository. This repository documents my journey to mastering Python, from the basics to advanced concepts, and includes my exploration of Machine Learning.

## Learning Path

### Repository Overview

This repository is organized into the following sections:

- **Part 1**: Basics of Python, including variables, data types, and basic operations.
- **Part 2**: Conditionals, loops, and logical operators.
- **Part 3**: Writing reusable code with functions, including lambda functions and higher-order functions.
- **Part 4**: Python Classes and Inheritance.
- **Part 5**: Python packages, File handling and Error Handling.

## Credit
Special thanks to the creator of the YouTube series and GitHub repository that inspired this learning path. You can check out the associated YouTube series and GitHub repository here:

- [YouTube Series](https://www.youtube.com/watch?v=yGN28LY5VuA&list=PPSV)
- [GitHub Repository](https://github.com/nicknochnack/PythonForDataScience)

## How to Use This Repository

Feel free to browse through the Jupyter notebooks and Python scripts. Each section contains explanatory comments, example code, and exercises to practice.

To get started:
1. Clone the repository:
```bash
git clone https://github.com/your-username/Master-Python.git
```

2. Install Jupyter Notebook: If you don't have Jupyter Notebook installed, you can install it using pip.
```bash
pip install notebook
```
3. Run the Notebook: Use your preferred IDE to open and run the project. If you are using Jupyter Notebook, you can open the notebook file:
```bash
jupyter notebook
```