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learnpythonwithme's Introduction

Learn Python with Me Repository

Welcome to the "Learn Python with Me" repository! This repository is a collection of coding problems, theory questions, and practical examples covering various aspects of Python programming, web development, data science, and machine learning.

Introduction

This repository serves as a learning resource for Python enthusiasts, offering a diverse set of materials to enhance your Python skills. Whether you are a beginner looking for coding exercises or an experienced developer exploring advanced Python concepts, you'll find valuable content here.

Repository Structure

The repository is organized into several directories, each focusing on a specific area of Python development. The main sections include:

  • Coding Problems: Solutions to various coding problems in Python.
  • Theory Questions: Theoretical questions related to Python programming with detailed solutions.
  • Concepts: In-depth explanations and examples covering fundamental Python concepts.
  • Web Development: Resources and examples for web development using Python, including frameworks like Django or Flask.
  • Data Science and Machine Learning: Materials related to data science and machine learning using Python, featuring popular libraries like NumPy, Pandas, scikit-learn, and TensorFlow.

Feel free to explore each section based on your interests and learning goals.

Getting Started

Clone the repository:

git clone https://github.com/your-username/learnpythonwithme.git
cd Learnpythonwithme

Contributing

If you'd like to contribute to this repository by adding new problems, solutions, or improving existing content, please follow the contribution guidelines.

Your contributions are highly valued and will help make this repository a more comprehensive learning resource for the Python community.

License

This repository is licensed under the MIT License. Feel free to use the content for personal or educational purposes.

Happy coding and learning!

Table of Contents:

  1. Python Codes
    1. Printing Hello World in Python
    2. Performing Basic Calculations
    3. Checking Even and Odd
    4. Finding the largest number
    5. Reversing a String
    6. Counting Number of Vowels and Consonants
    7. Merged Sort
    8. Pallindrome
    9. FuzzBuzz
    10. Finding Prime Numbers
    11. Web Scraping
    12. Guess The Number
    13. Sorting List of Words
    14. Square of Numbers
    15. Sum of Positive Numbers
    16. String Case Change
    17. Factorial
    18. StudentDatabase
    19. Common Elements in List
    20. Bank Account
    21. Fibonacci
    22. Binary Search
    23. Remove Duplications
    24. Exponents of Numbers
    25. Leap Yeap

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