[Learn with VSCode] Python for Beginners #33 The multiprocessing module скачать в хорошем качестве

[Learn with VSCode] Python for Beginners #33 The multiprocessing module

This video explains the `multiprocessing` module in Python. This article introduces practical tips for writing safe and efficient parallel processing code using the `multiprocessing` module. ✅ Subscribe to the channel here https://youtube.com/channel?sub_confi... 📝 Blog URL https://codesparklab.com/en/python-in... 💡 Playlist for this series    • [Learn with VSCode] Python for Beginners   🕐 Video contents 00:00 Start 00:33 The `multiprocessing` module in Python / Basics: Why use `multiprocessing`? 00:56 - Simple usage of `Process` 01:43 - Simple parallelization with `Pool` (high-level API) 02:24 - Interprocess communication: Producer/Consumer pattern using `Queue` 03:12 - Shared memory: `Value` and `Array` 04:08 - Advanced sharing: Shared objects (dicts, lists) with `Manager` 04:53 - Synchronization mechanisms: How to use `Lock` and `Semaphore` 05:36 - Differences between `fork` on UNIX and behavior on Windows 06:22 - Practical example: Benchmarking CPU-bound workloads (comparison) 07:11 - Important basic rules 08:24 - Practical design advice #Python #Basics