1. Project/Namespace Organization:
* `project_` or `namespace_`: This is useful for separating code related to a specific project or namespace. For example, `project_utils.py` or `namespace_database.py`.
* `lib_` or `module_`: Similar to above, indicating a library or module within a project.
2. File Type:
* `test_`: For test files, often used with test frameworks. Example: `test_calculator.py`.
* `demo_`: For demonstration or example files.
* `doc_`: For documentation related files.
3. Functionality:
* `helper_`: For utility functions or helper classes.
* `util_`: Similar to helper, indicating utility code.
* `core_`: For core components or essential functionality.
4. Version Control:
* `old_` or `legacy_`: To indicate outdated or deprecated code.
* `new_`: For new, experimental code.
5. Security:
* `secure_`: For files or functions related to security.
* `sensitive_`: For files or functions containing sensitive data.
6. Platform/Environment:
* `win_` or `linux_`: To indicate platform-specific code.
* `dev_` or `prod_`: To differentiate between development and production versions.
7. Other Prefixes:
* `custom_`: For custom code or modifications.
* `temp_`: For temporary or experimental code.
Important Notes:
* Consistency: Choose a prefixing style and stick to it within a project.
* Context: The best prefix depends on your project's needs and conventions.
* Documentation: Use comments to explain why you chose a particular prefix.
Ultimately, the choice of prefix is subjective and depends on your project's requirements and coding style. The most important aspect is to use prefixes consistently and meaningfully to enhance code organization and readability.