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Parallel Processing and Multiprocessing in Python A number of Python-related libraries exist for the programming of solutions either employing multiple CPUs or multicore CPUs in a symmetric multiprocessing (SMP) or shared memory environment, or potentially huge numbers of computers in a cluster or grid environment. This page seeks to provide references to the different libraries and solutions avai
南極海で日本の捕鯨船団に対して攻撃を続ける環境保護を標榜する米団体シー・シェパード(SS)のポール・ワトソン代表が産経新聞のインタビューに応じ、今回の反捕鯨キャンペーンの後、地中海のクロマグロ漁妨害を行うと宣言した。世界のクロマグロの8割を消費する日本を再度、標的にする狙いがあるとみられる。一方で、日本船との衝突について「全ての非は日本側にある」とし、調査捕鯨に正当な理由はなく、公海上で行う密漁行為に過ぎない」とこれまでの主張を繰り返した。 ワトソン代表は、日本船の追尾を続ける抗議船スティーブ・アーウィン号に乗っており、7日、衛星電話でインタビューに答えた。 クロマグロをめぐって、大西洋と地中海産の国際取引の全面禁止に向けた動きが広がる中、ワトソン代表は「次のキャンペーンを、クロマグロを守るために地中海で実施する」と述べ、スティーブ号と新抗議船ボブ・バーカー号の2船態勢で沿岸諸国の漁船への
Implementing MapReduce¶ The Pool class can be used to create a simple single-server MapReduce implementation. Although it does not give the full benefits of distributed processing, it does illustrate how easy it is to break some problems down into distributable units of work. In a MapReduce-based system, input data is broken down into chunks for processing by different worker instances. Each chunk
Full-text search — on App Engine, for Django — Try the demos — Buy now minimal code :: scalable :: with auto-completion The "Search documentation" function in the navbar is based on gae-search. Please try it! Features You get the following features, including a basic support package and a free 6 months upgrade period (after which you can, of course, continue to use gae-search). Index only specific
Revised 2009-07-12 to include addition of stemming, multi-word exact matching, multiple search entities, and stowing of designated parent titles in index entity keys. After rewatching Brett Slatkin's Building Scalable, Complex Apps talk at Google I/O, I came across the old SearchableModel module and realized it could be greatly improved by using the "Relation Index" technique described in the talk
One of my recent research tasks required me to retrieve various information from del.icio.us, a well-known social bookmarking service. My programming language of choice is Python, and so I wrote a basic Python module for getting the data I needed. News: As of August 01, 2008, del.icio.us has relaunched its web service. Due to a lot of changes behind the scenes, all users of my Python API have to u
multiprocessing Basics¶ The simplest way to spawn a second process is to instantiate a Process object with a target function and call start() to let it begin working. import multiprocessing def worker(): """worker function""" print('Worker') if __name__ == '__main__': jobs = [] for i in range(5): p = multiprocessing.Process(target=worker) jobs.append(p) p.start() The output includes the word “Work
Saturday, January 30, 2010 PyMOTW: cgitb - Detailed traceback reports cgitb – Detailed traceback reportsPurpose:cgitb provides more detailed traceback information than traceback.Python Version:2.2 and latercgitb was originally designed for showing errors and debugging information in web applications. It was later updated to include plain-text output as well, but unfortunately wasn’t renamed. This
Availability: not Emscripten, not WASI. This module does not work or is not available on WebAssembly platforms wasm32-emscripten and wasm32-wasi. See WebAssembly platforms for more information. Introduction¶ 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 si
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