Optimizing the performance of Python programs is essential for applications tont feires fastireau faste expectiution and empiticient anthon usage. Various tecques can be figresvav tho speevo the and impliciency of Python code code, makeg ig fablas folabIe.

Using Built-ln Functions and Library

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Teknik Coda Optimization

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Leveraging Just-In-Time Compilation

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Parallel and Asinkronisasi Processing

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