fix_bloated_imports

To reduce Python import bloat, convert static imports into conditional and lazy imports. This optimization defers heavy package loading, which reduces memory footprint and speeds up execution in data-intensive environments.

Implementing lazy imports for type checking involves converting standard import statements into conditional import patterns. This allows the code to satisfy type checkers without unnecessarily loading large modules during runtime.

Importing heavy Python packages slows down application load time because the interpreter must parse and initialize the entire module hierarchy immediately. Converting these to lazy imports defers this overhead.

Yes, you can optimize ipywidgets imports by transforming static imports into conditional, lazy loading patterns. This reduces immediate memory consumption and improves modularity in resource-constrained environments.

Converting static imports into lazy imports requires understanding existing import statements and applying conditional patterns correctly. It is specifically applicable for refactoring project code relying on big packages, and may not suit simple scripts.