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As my Python project grows in size, I’m finding it harder to keep the code organized and maintainable. What are some best practices for structuring a large Python project? I’m particularly interested in directory structure, modularization, and tips for ensuring scalability and readability.

What techniques do you use to optimize the performance of your Python code? Whether it’s for data-heavy tasks, web applications, or machine learning models, I'd love to hear about your favorite tips and tools. Do you use libraries like NumPy or Cython for performance improvement? Have you tried...