https://github.com/udityamerit/codes--for--python--programming
This is a repository for all programming codes in Python and all problems releted to the python prigramming, solving the real world problem using the python
https://github.com/udityamerit/codes--for--python--programming
Last synced: 6 months ago
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This is a repository for all programming codes in Python and all problems releted to the python prigramming, solving the real world problem using the python
- Host: GitHub
- URL: https://github.com/udityamerit/codes--for--python--programming
- Owner: udityamerit
- License: mit
- Created: 2023-06-30T19:16:19.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T16:12:13.000Z (9 months ago)
- Last Synced: 2025-03-29T00:41:14.931Z (6 months ago)
- Language: Python
- Homepage:
- Size: 63.5 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Python Programming
This repository contains Python scripts, projects, and tools that cover a variety of Python programming concepts, libraries, and applications.
## Table of Contents
1. [Overview](#overview)
2. [Features](#features)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Project Structure](#project-structure)
6. [Contributing](#contributing)
7. [License](#license)
## Overview
This repository includes various Python programs and projects, ranging from basic scripts to more complex applications. It covers essential
Python concepts like object-oriented programming (OOP), data structures, algorithms, and popular libraries such as `NumPy`, `Pandas`,
and `Matplotlib`.
## Features
- Python scripts showcasing basic to advanced concepts.
- Implementations of common data structures and algorithms.
- Projects involving libraries like `NumPy`, `Pandas`, and `Matplotlib`.
- Sample projects demonstrating Python's real-world applications.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/your-repository-name.git
```
2. Navigate to the project directory:
```bash
cd your-repository-name
```
3. (Optional) Create and activate a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
4. Install required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
To run any Python script, use the following command:
```bash
python script_name.py
```
Example:
```bash
python hello_world.py
```
## Project Structure
```bash
your-repository-name/
│
├── scripts/ # Python scripts directory
│ ├── script1.py
│ └── script2.py
│
├── projects/ # Project-specific directories
│ ├── project1/
│ └── project2/
│
├── requirements.txt # Dependencies (if any)
├── README.md # Project documentation
└── LICENSE # License information
```
## Contributing
Contributions are welcome! To contribute:
1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature-branch
```
3. Make your changes and commit:
```bash
git commit -m "Add new feature"
```
4. Push to the branch:
```bash
git push origin feature-branch
```
5. Open a pull request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
```