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  1. 5 Essential Python Threading Tips for Efficient Coding

    May 8, 2025 · One of the most critical aspects of Python threading is understanding the Global Interpreter Lock (GIL). The GIL is a mechanism that prevents multiple native threads from executing …

  2. concurrent.futures — Launching parallel tasks — Python 3.14.3 ...

    4 days ago · Changed in version 3.6: Added the thread_name_prefix parameter to allow users to control the threading.Thread names for worker threads created by the pool for easier debugging. Changed …

  3. queue — A synchronized queue class — Python 3.14.3 documentation

    1 day ago · See also Class multiprocessing.Queue A queue class for use in a multi-processing (rather than multi-threading) context. collections.deque is an alternative implementation of unbounded …

  4. Glossary — Python 3.14.3 documentation

    2 days ago · For example, if thread A holds lock 1 and waits for lock 2, while thread B holds lock 2 and waits for lock 1, both threads will wait indefinitely. In Python this often arises from acquiring multiple …

  5. Python's asyncio: A Hands-On Walkthrough – Real Python

    Jul 30, 2025 · Threading is a concurrent execution model in which multiple threads take turns executing tasks. A single process can contain multiple threads. Python’s relationship with threading is …

  6. Python Multiprocessing: How to Run Separate Independent ...

    3 days ago · In the world of Python programming, optimizing performance is often a top priority—especially when dealing with CPU-intensive tasks like data processing, mathematical …

  7. resource management | Python Best Practices – Real Python

    Guidelines and best practices for managing external resources, such as files, network connections, and similar, in Python.