Python developers have long struggled with slow startup times caused by eager imports of heavy libraries. The problem became so severe that companies like Instagram and Hudson River Trading built their own lazy import solutions. Instagram's Cinder fork delivered 70% startup improvements, while HRT's prototype cut tool launch times from minutes to seconds.

Before Python had native support, developers resorted to awkward workarounds like placing imports inside functions. This broke static analysis and created fragile code patterns. Analysis of CPython's standard library revealed that nearly 17% of imports were already manually deferred. The need was clear, but the solution required careful design to avoid breaking existing code.

After two rejected proposals and years of corporate pressure, Python 3.15 will finally include a lazy keyword. The new approach uses explicit syntax rather than global flags, addressing concerns about ecosystem fragmentation. The feature's co-authors include both early critics and advocates, signaling broad consensus. What began as a performance necessity for large codebases will soon benefit all Python developers.