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How to Structure a Non-Trivial Python Desktop Application Project: A Guide to Folder Hierarchy

Mary-Kate Olsen
Mary-Kate OlsenOriginal
2024-11-12 14:01:01843browse

How to Structure a Non-Trivial Python Desktop Application Project: A Guide to Folder Hierarchy

How to Structure a Non-Trivial Python Desktop Application Project

When developing a complex Python application, organizing your project effectively is crucial for maintainability, testing, and packaging. Here's a comprehensive guide to structure your project's folder hierarchy:

Source Code

  • Place source code under a designated folder, e.g., "/src" or "/code".
  • Organize modules and classes within subdirectories based on logical divisions.

Application Startup Scripts

  • Store executable scripts that launch the application in a separate folder, e.g., "/bin" or "/scripts".
  • Name scripts descriptively to indicate their functions.

IDE Project Cruft

  • IDE-specific configuration files, such as ".vscode" or ".idea" folders, should be kept separate.
  • Consider excluding these files from version control.

Unit and Acceptance Tests

  • Dedicate a folder for unit and acceptance tests, e.g., "/tests".
  • Organize test files based on the functionality they test.

Non-Python Data

  • Store non-Python configuration files, such as JSON or YAML, in a separate folder, e.g., "/config".
  • Ensure that these files are properly versioned.

Non-Python Sources

  • Place C source code for pyd/so extension modules in a dedicated folder, e.g., "/lib/cpp".
  • Include appropriate build instructions and scripts for compiling and installing these modules.

Top-Level Directory

  • The top-level directory should contain important files such as:

    • README file with project description and installation instructions
    • Configuration files for setting project-wide parameters
    • Version control files (e.g., ".git")
  • This directory can also serve as a high-level architectural breakdown of the application.

Additional Considerations

  • Use a version control system such as Git to track project changes.
  • Consider using a Python packaging tool like setuptools or wheel for installing and distributing your application.
  • Document your project structure and organization for easy onboarding and collaboration.

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