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Exercism Python

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Description:

Exercism-Python is a repository that contains Python programming exercises as part of the Exercism platform. Exercism provides coding challenges and exercises designed to help learners practice and improve their programming skills. This repository includes a collection of Python-specific exercises, which are used to teach and test various Python concepts and techniques.

Features:

  1. Python Exercises:

    • The repository includes a variety of Python exercises, each designed to cover different aspects of Python programming. These exercises range from basic syntax and data structures to more advanced topics.
  2. Educational Resource:

    • The exercises are designed to help learners practice Python programming and enhance their problem-solving skills. Each exercise typically includes a description of the problem to solve and a set of requirements to meet.
  3. Solution Structure:

    • The repository contains problem descriptions, example inputs and outputs, and a testing framework for each exercise. Users can submit their solutions and receive feedback.
  4. Community and Mentorship:

    • Exercism emphasizes community support and mentorship. Users can submit their solutions for review and get feedback from mentors, helping them learn and improve their coding skills.
  5. Organized by Exercises:

    • Exercises are organized into directories, each representing a specific challenge or concept. This organization helps users easily navigate and find exercises relevant to their learning goals.
  6. Test-Driven Development:

    • Many exercises include tests to verify the correctness of solutions. Users are encouraged to write code that passes these tests, promoting test-driven development practices.

 

Requirements:

  1. Python Version:

    • The exercises are compatible with Python 3.x. It is recommended to use the latest stable version of Python 3 to ensure compatibility with modern Python features.
  2. Dependencies:

    • Some exercises may require external libraries or packages. Dependencies are typically listed in the requirements.txt file if provided. Common dependencies might include testing frameworks like pytest.

  3. Installation:

    • To work on exercises locally, clone the repository and navigate to the appropriate exercise directory.
  4. Development Tools:

    • Although no specific tools are required, using an IDE or code editor such as PyCharm, Visual Studio Code, or Jupyter Notebook can help manage and develop your solutions.
  5. Testing:

    • Each exercise may include a set of tests that can be run to check the correctness of your solution. Testing is typically done using a command like:
      pytest 
    • Ensure you have pytest or any other required testing framework installed:
      pip install pytest 
  6. Contribution Guidelines:

    • If you wish to contribute to the repository, follow the contribution guidelines specified in the CONTRIBUTING.md file or README. This might include guidelines for adding new exercises or updating existing ones.
  • Primary Language: Python
    • All exercises are designed for Python. The code provided and required solutions adhere to Python’s syntax and programming practices.

Instructions:

Follow all the information and instructions on getting started.
 

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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