How to Structure a Python Desktop Application for Optimal Organization?

Organizing Python Applications: Optimal Project Structure

When embarking on a non-trivial Python desktop application development journey, project structuring becomes crucial. Here's a comprehensive guide to optimize your project's organization.

Source Code Placement

Avoid creating unnecessary subdirectories. Place your source code directly within the project's root directory.

Application Startup Scripts

Store startup scripts in the "/scripts" or "/bin" directories. This ensures easy accessibility and compatibility with common operating systems.

IDE Project Configuration

Keep IDE project-specific files, such as .kpf files, in the project's root directory.

Unit and Acceptance Tests

Create a dedicated "/tests" directory for unit and acceptance testing. This separates test code from production code, ensuring maintainability.

Non-Python Data Placement

Store non-Python data, such as configuration files, in a "/data" directory. This keeps data distinct from code, facilitating data management.

Non-Python Source Storage

Place non-Python sources, like C for pyd/so binary extension modules, in a "/lib" directory. This distinguishes them from Python sources and facilitates library management.

Additional Considerations

• Top-Level Directory: Use the "/name-of-my-product" directory to encapsulate the entire project.
• PYTHONPATH Management: Configure the PYTHONPATH to include the project's root directory.
• IDE Configuration: Utilize a .KPF file for IDE configuration and exclude it from source control.
• Maintainability: Maintain a consistent and logical directory structure throughout the project.
• Documentation: Consider creating separate "/doc" or "/apidoc" directories for documentation and API documentation.

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