"When Python detects a lazy import-typically triggered with the lazy keyword on the import line, it doesn't perform the usual import process. Instead, it creates a 'proxy object,' or a stand-in, for the imported module."
"The most common scenario for using lazy imports is to replace the usual workaround for avoiding a costly import at program startup. Placing the import inside a function causes the import to happen only when the function runs."
Lazy imports in Python utilize the lazy keyword to create a proxy object for the imported module, deferring the actual import process. This approach is beneficial for avoiding costly imports at program startup. By placing imports inside functions, they only occur when the function is executed, but this limits their scope. Lazy imports allow for broader accessibility while still optimizing performance by delaying the import until necessary.
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