talhayaseen57 / get-started-with-python

Unleash the power of Python with my dynamic playground! Dive into a treasure trove of exercises and code snippets designed to hone your Python skills. Whether you're a beginner or a seasoned coder, Get Started with Python offers a fun and engaging way to level up your programming prowess. Let's code, explore, and conquer Python together!

Get Started with Python

Welcome to my Python playground! This repository contains exercises and code snippets that I practice to sharpen my programming skills in Python.

Overview

Whether you're just getting started with Python or looking to enhance your skills, this repository serves as a resource for practicing various Python concepts and techniques. Feel free to explore the exercises and code snippets provided here.

Structure

The repository is structured as follows:

• enumerate_n_zip.py: Python script demonstrating the use of enumerate and zip functions.
• eval_calculator.py: Python script implementing a basic calculator using the eval function.
• fibonacci.py: Python script to generate Fibonacci sequence.
• generate_fibonacci.py: Python script to generate Fibonacci numbers up to a specified limit.
• generator.py: Python script illustrating the use of generators.
• iterators.py: Python script showcasing iterators and iterable objects.
• lambda_functions.py: Python script demonstrating the use of lambda functions.
• list_comprehension.py: Python script demonstrating list comprehension.
• loss_function.py: Python script implementing a basic loss function.
• map_n_filter.py: Python script showcasing the use of map and filter functions.
• marks_grades_exercise.py: Python script for an exercise related to calculating grades based on marks.
• traingle_exercise.py: Python script for an exercise related to triangles.

Feel free to explore each file to understand the concepts and see examples of Python code in action.

Contributing

Contributions are welcome! If you'd like to contribute to this repository by adding more exercises, improving existing code, or fixing bugs, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/new-feature).
3. Make your changes and commit them (git commit -am 'Add new feature').
4. Push your changes to the branch (git push origin feature/new-feature).
5. Create a new Pull Request.

Acknowledgements

Special thanks to the Python community for providing valuable resources and inspiration for learning and practicing Python programming.