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Source channel @githubtrending · Post #14785 · Jun 4
#c_lang jemalloc is a memory allocator that helps computers manage memory more efficiently. It was first used in FreeBSD in 2005 and is now used in many applications because it reduces memory fragmentation and supports many threads running at the same time. This means it can handle lots of small memory requests without slowing down, making it very useful for demanding applications. The benefit to users is faster and more reliable performance, especially in programs that need to handle a lot of data or run many tasks simultaneously. https://github.com/jemalloc/jemalloc
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@amazingeo · Post #647 · 02/25/2026, 08:31 PM
🌍 Submarine hydrothermal vents on the ocean floor release superheated water and minerals, fueling unique ecosystems powered by chemical energy instead of sunlight. ✨ #processes⚡#ocean⚡#ecosystems⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #39 · 08/13/2025, 12:12 AM
🌍 Earth's crust is in constant motion due to convection currents—slow, swirling movement of hot rock deep below the surface. This drives plate movement, causing earthquakes and forming new land. ✨ #processes⚡#plate⚡#tectonics⚡#geology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@djangoproject · Post #430 · 09/02/2017, 03:23 AM
https://docs.python.org/3/library/subprocess.html The #subprocess module allows you to spawn new #processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older #modules and #functions. #python
@djangoproject · Post #290 · 04/04/2017, 09:36 PM
https://pymotw.com/3/asyncio/executors.html Combining Coroutines with Threads and Processes A lot of existing libraries are not ready to be used with #asyncio natively. They may block, or depend on concurrency features not available through the module. It is still possible to use those libraries in an application based on asyncio by using an #executor from #concurrent.futures to run the code either in a separate thread or a separate process. #Threads The #run_in_executor() method of the event loop takes an executor instance, a regular callable to invoke, and any arguments to be passed to the callable. It returns a Future that can be used to wait for the function to finish its work and return something. If no executor is passed in, a #ThreadPoolExecutor is created. This example explicitly creates an executor to limit the number of worker threads it will have available. #Processes A ProcessPoolExecutor works in much the same way, creating a set of worker #processes instead of threads. Using separate processes requires more system resources, but for computationally-intensive operations it can make sense to run a separate task on each CPU core. #learn