Python Libraries

📚 Python Libraries 🚀

Welcome to Python-Libraries – a curated collection of Python modules and libraries that I’m exploring to boost my coding skills and build real-world projects.

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📌 Table of Contents

• 📖 About This Repository
• 📚 Libraries Covered
• 🚀 Project Highlights
• ⚡ How to Run
• 🤝 How to Contribute
• 🛣️ Roadmap
• 📜 License
• 🙏 Acknowledgments
• 🌐 Connect with Me
• 💖 Show Some Love

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🔎 About This Repository

Welcome to Python-Libraries – a curated collection of Python modules and libraries designed to enhance your coding skills and help you build real-world projects. 🚀

This repository is perfect for beginners and intermediate Python developers looking to explore and master popular libraries through practical examples and mini-projects.

This repository contains examples, small projects, and explanations of popular Python libraries that help in:

• Data manipulation
• Web development
• Automation
• Data visualization
• Machine learning basics

The goal is to document my learning journey while making it helpful for other Python learners.

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📂 Libraries Covered (So Far)

Library	Description	Official Docs
NumPy	Powerful library for numerical computing with arrays.	NumPy Docs
Pandas	Data manipulation and analysis tool for structured data.	Pandas Docs
Matplotlib	Visualization library to plot graphs and charts.	Matplotlib Docs
Requests	Simplifies sending HTTP requests.	Requests Docs
BeautifulSoup	Library for web scraping and parsing HTML data.	BeautifulSoup Docs
Tkinter	Python GUI library for creating desktop apps.	Tkinter Docs
OS	Interact with the operating system.	OS Docs
Datetime	Work with dates and times.	Datetime Docs

⚡ Note: New libraries and modules will be added regularly!

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🚀 Project Highlights

Each folder or Python file inside this repo contains:

• ✅ Example usage of the library
• ✅ Simple projects or scripts
• ✅ Comments for easy understanding
• ✅ Helpful code comments for understanding

✨ Example:

• NumPy → Matrix operations, array creation, reshaping

  import numpy as np
  arr = np.array([[1, 2], [3, 4]])
  print(arr.reshape(4, 1))

• Pandas → CSV reading/writing, DataFrame operations

• Matplotlib → Line charts, bar graphs, scatter plots

• Requests → API requests, JSON handling

• BeautifulSoup → Web scraping mini project

• Tkinter → Simple GUI app examples

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🛠️ How to Run

1. Clone this repo:

git clone https://github.com/uvpatel/Python-Libraries.git
cd Python-Libraries

2. Install necessary libraries (if not already installed):

pip install numpy pandas matplotlib requests beautifulsoup4

3. Run any .py file to see the output:

python example.py

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📈 Why This Repository?

• ✔️ For Beginners: Ideal for those starting their journey with Python libraries.
• ✔️ Quick Reference: A handy resource for revising key concepts.
• ✔️ Practical Learning: Helps you understand libraries through hands-on examples and small projects.

Whether you're into data manipulation, automation, web scraping, or machine learning, this repo is for YOU! 💻

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🌱 Upcoming Libraries

• Scikit-Learn (ML Basics)
• Seaborn (Advanced Visualization)
• Flask / Django (Web Development)
• OpenCV (Computer Vision)

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🤝 Connect with Me

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Roadmap

• Scikit-Learn: Machine learning basics 🤖
• Seaborn: Advanced data visualization 📊
• Flask/Django: Web development frameworks 🌐
• OpenCV: Computer vision applications 👁️

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🙏 Acknowledgments

• Thanks to CodeWithHarry for Python tutorials.
• Inspired by Real Python and Python.org.

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📜 License

This project is licensed under the MIT License.

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⭐ Show Some Love

If you like this repo, feel free to ⭐ it. Contributions and suggestions are always welcome!