# Code Organization

## Modular Programming

- Split code into small, reusable modules or functions, with each module responsible for doing only one thing.
- Use a clear module and directory structure to organize code, making it easier to navigate.

## Naming Conventions

- Use meaningful and consistent naming conventions so that the purpose of variables, functions, and classes can be understood from their names.
- Follow naming conventions, such as CamelCase for class names and snake_case for function and variable names.

## Code Comments

- Add comments to complex code segments to explain the code's functionality and logic.
- Use block comments (/*...*/) and line comments (//) to distinguish different types of comments.

## Code Formatting

- Use consistent code style and formatting rules, and automatically format code with tools like Prettier or Black.
- Use blank lines, indentation, and spaces to improve code readability.

# Documentation

## Docstrings

- Use docstrings at the beginning of each module, class, and function to explain its purpose, parameters, and return values.
- Choose a consistent docstring format, such as Google Style, NumPy/SciPy Style or Sphinx Style.

## Automated Documentation Generation

- Use tools like Sphinx, Doxygen or JSDoc to automatically generate documentation from code.
- Keep documentation and code synchronized to ensure documentation is always up-to-date.

## README File

- Include a detailed README file in the root directory of each project, explaining the project's purpose, installation steps, usage, and examples.
- Write README files using Markdown syntax to make them easy to read and maintain.

# Tools

## IDE

- Use powerful IDEs such as Visual Studio Code, PyCharm or IntelliJ, leveraging their code autocomplete, error checking, and debugging features.
- Configure IDE plugins, such as linters (e.g., ESLint, Pylint) and code formatters.