My personal journey learning Python programming.

This repository documents my journey in learning Python programming, building upon my prior experience with Java.

Structure of the Repository

• Fundamentals: Basic syntax, variables, data types, and I/O.
• Conditionals: if/elif/else, comparisons, and logical operators.
• Loops: for and while loops, iteration patterns.
• Data Structures: Lists, tuples, dictionaries, and sets.
• Functions: Defining and calling functions; modular programming.
• Exceptions: Error handling with try/except, finally, and custom exceptions.
• OOP: Basic classes, objects, methods, and inheritance.
• Data Exploration: Intro to Pandas and Numpy.
• Data Visualization: Creating plots with Matplotlib and Numpy.

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Setup Instructions

1. Clone the repository

   git clone https://github.com/samehinttech/Python_Learning_ML.git

2. Navigate to the project directory:

   cd Python_Learning_ML

3. Create a virtual environment:

   python -m venv .venv

4. Activate the virtual environment:

   .venv\Scripts\activate

5. Install dependencies

   pip install -r requirements.txt

6. Run Python scripts:

   python script_name.py

Happy coding!

Progress Tracker

• Core Python fundamentals (syntax, control flow, data structures)
• Functions and error handling
• Solid OOP foundations
• Practical data analysis (Pandas, Matplotlib, Numpy)
• Machine learning

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Readings & References

• Official Python Documentation
• T. Gaddis: Starting out with Python, Global Edition
• Matplotlib Documentation
• Pandas Documentation
• Numpy Documentation

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Timeline

Start Date	Last Updated
October 3, 2025	November 19, 2025