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[编程教程] Python Parallel Programming Solutions

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发表于 2017-1-3 20:23:54 | 显示全部楼层 |阅读模式
Python 的并行编程解决方案
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MP4 |视频︰ AVC 1280 x 720 |音频︰ AAC 44 KHz 2 通道 |持续时间︰ 4 小时 |2.12 GB
类型︰ 电子学习 |语言︰ 英语
这门课将教你并行编程技术使用例子在 Python 和帮助你探索以多种方式,在其中您可以编写代码,允许多个进程同时发生。

从开始为您介绍并行计算的世界,我们着手涵盖 Python 的基本条件。这被其次是探索使用 Python 通过同步线程和使用锁、 mutex、 信号量队列,吉尔,线程池线程模块基于线程的并行模型。接下来你会被教导了基于过程的并行性,在那里你将同步使用消息传递的过程,将了解 MPI Python 模块的性能。

继续前进,你会认真异步并行编程模型中使用 Python asyncio 模块,和将看到如何处理异常。你将会发现与 Python 是一种分布式计算和学习如何安装一个经纪人,使用芹菜 Python 模块,并创建一个工人。你会明白 anche Pycsp、 勺框架和在 Python 中的磁盘模块。进一步,你将获得在 GPU 编程的实践与 Python 使用 PyCUDA 模块,并将评价性能限制。
Python Parallel Programming Solutions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 2.12 GB
Genre: eLearning | Language: English
This course will teach you parallel programming techniques using examples in Python and help you explore the many ways in which you can write code that allows more than one process to happen at once.

Starting with introducing you to the world of parallel computing, we move on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism, where you will synchronize processes using message passing and will learn about the performance of MPI Python Modules.

Moving on, you’ll get to grips with the asynchronous parallel programming model using the Python asyncio module, and will see how to handle exceptions. You will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will understand anche Pycsp, the Scoop framework, and disk modules in Python. Further on, you will get hands-on in GPU programming with Python using the PyCUDA module and will evaluate performance limitations.
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发表于 2017-1-3 20:24:01 来自手机 | 显示全部楼层
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