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Basic Python Exercise

This repository contains a super fast review of Python basics, along with a brief introduction to Matplotlib and NumPy. The purpose of this repository is to provide a quick and fast review of basic Python usage for anyone who needs it.

Table of Contents

Introduction

In this repository, you will find a collection of Python exercises that cover fundamental concepts and techniques. Whether you are a beginner looking to learn Python or an experienced programmer in need of a refresher, these exercises will help you strengthen your Python skills.

Getting Started

To get started with the exercises, follow these steps:

  1. Clone this repository to your local machine.
  2. Open the exercises in your preferred Python IDE or text editor.
  3. Complete the exercises and solve the given problems.
  4. Test your solutions to ensure they produce the expected output.
  5. Feel free to explore the additional resources provided in the repository.

Matplotlib

Matplotlib is a powerful data visualization library in Python. In this section, you will find exercises that demonstrate how to create various types of plots, customize their appearance, and visualize data effectively using Matplotlib.

NumPy

NumPy is a fundamental package for scientific computing in Python. This section includes exercises that introduce you to the basics of NumPy, including array creation, manipulation, mathematical operations, and more. By completing these exercises, you will gain hands-on experience with NumPy and its capabilities.

Contributing

Contributions to this repository are welcome! If you have any suggestions, improvements, or additional exercises, please feel free to submit a pull request. Together, we can make this repository a valuable resource for Python learners.

WIP

This repo is a work in progress. It will be updated with new exercises and tips in the future. Stay tuned for more content to enhance your learning experience.

Repository Files

  • 01_BasicOp_Cycles_Functions_Strings.py

    • Focused on basic operations, loop structures, functions, and string manipulation, this script is perfect for new programmers looking to get a solid start.
  • 02_Lists_Dictionaries_Tuples_Sets.py

    • This file introduces Python's core data structures, providing exercises that demonstrate their usage and best practices for manipulation.
  • 03_Numpy_Matplot.py

    • Offers a primer on using NumPy for numerical operations and Matplotlib for data visualization, including how to generate various types of plots and charts.
  • 04_10_basic_exercise.py

    • Contains 10 foundational exercises for practicing basic Python syntax and operations such as loops, conditionals, and data structures.
  • 05_usefulFunctionForEveryday.py

    • A collection of utility functions that are applicable in daily coding tasks. It includes functions for file handling, date manipulation, and string operations.

Additional Files

  • README.md

    • The main documentation file for the repository, providing an overview, setup instructions, and other essential information to get started.
  • PythonReviewGuide.md

    • Provides a quick and thorough review of Python’s capabilities, from basic syntax to more complex features such as handling files and using popular libraries.
  • PythonReviewGuide.pdf

    • A PDF downloadable version of the review guide.

License

This repository is licensed under the MIT License. Feel free to use, modify, and distribute the code for educational purposes.

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