45 lines
1.9 KiB
Markdown
45 lines
1.9 KiB
Markdown
# Code Organization
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## Modular Programming
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- Split code into small, reusable modules or functions, with each module responsible for doing only one thing.
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- Use a clear module and directory structure to organize code, making it easier to navigate.
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## Naming Conventions
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- Use meaningful and consistent naming conventions so that the purpose of variables, functions, and classes can be understood from their names.
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- Follow naming conventions, such as CamelCase for class names and snake_case for function and variable names.
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## Code Comments
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- Add comments to complex code segments to explain the code's functionality and logic.
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- Use block comments (/*...*/) and line comments (//) to distinguish different types of comments.
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## Code Formatting
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- Use consistent code style and formatting rules, and automatically format code with tools like Prettier or Black.
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- Use blank lines, indentation, and spaces to improve code readability.
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# Documentation
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## Docstrings
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- Use docstrings at the beginning of each module, class, and function to explain its purpose, parameters, and return values.
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- Choose a consistent docstring format, such as Google Style, NumPy/SciPy Style or Sphinx Style.
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## Automated Documentation Generation
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- Use tools like Sphinx, Doxygen or JSDoc to automatically generate documentation from code.
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- Keep documentation and code synchronized to ensure documentation is always up-to-date.
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## README File
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- Include a detailed README file in the root directory of each project, explaining the project's purpose, installation steps, usage, and examples.
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- Write README files using Markdown syntax to make them easy to read and maintain.
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# Tools
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## IDE
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- Use powerful IDEs such as Visual Studio Code, PyCharm or IntelliJ, leveraging their code autocomplete, error checking, and debugging features.
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- Configure IDE plugins, such as linters (e.g., ESLint, Pylint) and code formatters. |