#Python Learning

Description This repository contains various Python code examples and learning resources aimed at helping you improve your Python programming skills. Whether you are a beginner or looking to brush up on specific concepts, you'll find useful scripts and explanations here.

Table of Contents Installation Usage Contents Contributing License Acknowledgements Installation Clone the repo: sh Copy code git clone https://github.com/tauhazmat/Python.git Navigate to the project directory: sh Copy code cd Python Create a virtual environment: sh Copy code python -m venv env Activate the virtual environment: On Windows: sh Copy code .\env\Scripts\activate On macOS/Linux: sh Copy code source env/bin/activate Install the required packages: sh Copy code pip install -r requirements.txt Usage Run the Python scripts to learn and explore various concepts:

sh Copy code python script_name.py Replace script_name.py with the name of the script you want to run. Each script is designed to demonstrate a specific Python concept or functionality.

Contents Basics: Introduction to Python syntax, variables, and data types. Control Structures: Conditional statements, loops, and error handling. Functions: Defining and using functions, lambda functions, and scope. Data Structures: Lists, tuples, dictionaries, and sets. Modules and Packages: Importing and using modules and packages. File Handling: Reading from and writing to files. Object-Oriented Programming: Classes, objects, inheritance, and polymorphism. Libraries and Frameworks: Examples using popular libraries like numpy, pandas, matplotlib, and more. Contributing Contributions are welcome! Please read the CONTRIBUTING.md file for guidelines on how to contribute to this project.

Fork the Project Create your Feature Branch (git checkout -b feature/AmazingFeature) Commit your Changes (git commit -m 'Add some AmazingFeature') Push to the Branch (git push origin feature/AmazingFeature) Open a Pull Request License Distributed under the MIT License. See LICENSE for more information.

Acknowledgements Python Documentation Real Python Automate the Boring Stuff with Python