⚡ ThreadPoolExecutor Runs tasks in threads, same process. Good for I/O-bound work: network requests, DB calls, file reads/writes. Threads can switch while waiting → good concurrency. Bad for CPU-heavy ...

I am trying to choose what to use between futures.ThreadPoolExecutor or pyyv.ThreadPool. Especially since with pyuv I don't have to manage another dependency for Python 2.7. I saw there was a lot of ...

Before I walk through the actual optimizations, here’s something important: Most Python performance issues have NOTHING to do with Python being slow. They happen because we pick the wrong concurrency ...