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Configuring Git Pre-Commit Hooks & Estimating Software Projects

The Real Python Podcast

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Optimizing Python Performance

This chapter explores the contrasts between fixed-length arrays and dynamic lists in Python, emphasizing the practical benefits of using typed arrays and libraries like NumPy for enhanced efficiency. It also covers performance optimization strategies, memory management techniques, and the experimental use of preprocessors, aiming to streamline code execution while cautioning against their use in production environments.

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