TGTGInsighttelegram intelligenceLIVE / telegram public index
← Devils Below

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @devilsbelow · Post #552 · Feb 16

🌐Weekly News Digest [ February 9 – February 15 ] Last week, the mining conference in Cape Town became the first high-level venue to criticize American expansion into Africa - but what else happened? 💡Here are the key highlights: 🇨🇩 DR Congo — South Africa’s Minister of Resources sharply criticizes his Congolese counterpart — Washington urged an Australian mining firm AVZ to sell its major lithium project to a US company 🇱🇾 Libya — Libya’s fails its first oil license auction in 17 years 🇲🇱 Mali — The Malian government establishes a new state-owned mining company — Mali approves a 10-year extension of Canadian gold miner's license 🇳🇪 Niger — Niger’s military repels an attack by MPLJ militants on Chinese oil facilities — Niger is ready to return the uranium confiscated from the French 🇳🇬 Nigeria — Nigerian company loses asset in Equatorial Guinea — Dangote Refinery reaches its design capacity for the first time — US lawmakers introduce a bill claiming that Chinese illegal miners are paying Fulani militant groups 🇿🇦 South Africa — Mining Indaba Conference concludes in Cape Town 🌍 Global — State Department reveals the US strategy for Africa #NewsDigest ➡️ Follow to stay informed - @devilsbelow

Hashtags

Results

1 similar post found

Search: #parallelism

当前筛选 #parallelism清除筛选
djangoproject

@djangoproject · Post #118 · 08/08/2016, 11:44 AM

https://docs.python.org/3/library/multiprocessing.html multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows. The #multiprocessing module also introduces #APIs which do not have analogs in the #threading#module. A prime example of this is the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distributing the input data across processes (data #parallelism). The following example demonstrates the common practice of defining such functions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool,