A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an ...
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With this 4-hour course, you’ll discover how parallel processing with Dask in Python can make your workflows faster. When working with big data, you’ll face two common obstacles: using too much memory and long runtimes. The Dask library can lower your memory use by loading chunks of data...
Chapter 1, Contextualizing Parallel, Concurrent, and Distributed Programming, covers the concepts, advantages, disadvantages, and implications of parallel programming models. In addition, this chapter exposes some Python libraries to implement parallel solutions. Chapter 2, Designing Parallel Algorithms, intro...
with condition: while shared_queue.empty(): logger.info("[%s] - waiting for elements in queue..." % threading.current_thread().name) condition.wait() else: value = shared_queue.get() a, b = 0, 1 for item in range(value): ...
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data. Start Course for Free Included withPremium or Teams PythonProgramming4 hours15 videos51 Exercises4,150 XP4,059Statement of Accomplishment ...
最新更新 :Afast,easy-to-followandcleartutorialtohelpyoudevelopParallelcomputingsystemsusingPython.Alongwithexplainingthefundamenta
出版社:Packt Publishing - ebooks Account 出版年:2014-7-14 页数:107 定价:USD 22.99 装帧:Paperback ISBN:9781783288397 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Parallel Programming with Python的书评 ···(全部 1 条) 热门 涅...
Python 2.6/2.7 and Python 3.3+ are supported. Website: http://luispedro.org/software/jug Documentation: https://jug.readthedocs.org/ Video: On vimeo or showmedo Mailing List: http://groups.google.com/group/jug-users Install You can install Jug with pip: pip install Jug or use, if ...
Parallel programming with Python. Contribute to zhaoxiugao/jug development by creating an account on GitHub.