BerriAI / litellm
github.com·3d ago
Developer Tools
Real Python·Jan 1·5 min read
Quiz: Python 3.15 Preview: Lazy Imports
TL;DR
Python 3.15 introduces lazy imports, allowing modules to load only when first accessed, improving startup time. This feature retains the traditional import statement placement while optimizing performance.
✦ Why It Matters
Start using lazy imports in your Python projects to enhance performance and reduce startup times.
Key Takeaways
- Implement lazy imports to optimize application startup times.
- Keep critical imports eager to ensure proper execution.
- Utilize __lazy_modules__ for compatibility with older Python versions.
- Test the impact of lazy imports on your project's performance.
Full Summary
Lazy imports in Python 3.15 enable developers to defer the loading of modules until they are actually needed, which can significantly reduce startup time for applications. The import statement remains at the top of the file, but the execution is postponed until the module's name is referenced.
This approach can lead to faster application launches, especially in projects with numerous dependencies. The article also discusses the __lazy_modules__ feature, which provides similar functionality for older Python versions.
However, certain imports must remain eager, as they are critical for the initial execution context. Understanding where and how to apply lazy imports can lead to more efficient code and better resource management.