Python Advanced Features and Data Visualization

Repository Description

This repository is a comprehensive collection of Python advanced concepts, best practices, and data visualization techniques. It is designed for intermediate to advanced Python developers who want to enhance their skills, optimize their code, and create stunning visualizations.

Key Features

1. Advanced Python Concepts

• Object-Oriented Programming (OOP)
• Decorators and Closures
• Context Managers
• Generators and Iterators
• Functional Programming
• Metaprogramming
• Concurrency and Parallelism

2. Code Optimization and Design Patterns

• Profiling and Performance Optimization
• Design Patterns (Creational, Structural, Behavioral)
• Refactoring Techniques
• Pythonic Code Principles

3. Data Visualization and Reporting

• Matplotlib and Plotly for static and interactive plots
• Seaborn for statistical graphics
• Pandas integration for data-driven visualizations
• Dashboarding and report generation using Dash and Streamlit

Repository Structure

python-advanced-viz/
├── 01-Advanced-Python-Concepts/
│   ├── 01-Numpy/
│   ├── 02-Pandas/
│   ├── 03-Generators/
│   └── 04-OOPS/
├── 02-Data-Visualization/
│   ├── 01-Matplotlib/
│   ├── 02-Seaborn/
│   ├── 03-Plotly/
│   └── 04-Dashboarding/
├── Resources/
│   ├── Cheatsheets/
│   └── References/
├── LICENSE
└── README.md

Getting Started

1. Clone the repository:

   git clone https://github.com/chmohit91/python-advanced-viz.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Explore the folders and notebooks based on your interest and learning goals.

Contributing

We welcome contributions from the community! If you have any improvements, new content, or bug fixes, please feel free to submit a pull request. Make sure to follow the existing code style and structure.

Contact

• GitHub: https://github.com/chmohit91
• LinkedIn: https://www.linkedin.com/in/mohit-chaudhary-767852140/
• Email: ch.mohit91@yahoo.com

License

This project is licensed under the MIT License.

Acknowledgments

We would like to express our gratitude to the Python community for their continuous support and contributions. Special thanks to the authors and maintainers of the libraries used in this repository.