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 parallel processing or asynchronous programming to speed things up?
Also, what’s your approach to profiling and identifying bottlenecks in your Python code? Any tools or strategies that you’ve found particularly useful? Let’s share optimization tricks!
Also, what’s your approach to profiling and identifying bottlenecks in your Python code? Any tools or strategies that you’ve found particularly useful? Let’s share optimization tricks!