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56 Commitshttps://github.com/gorlf/Parallel-Programming-with-Python/commits/master/
https://github.com/gorlf/Parallel-Programming-with-Python/commits/master/
第一章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%80%E7%AB%A0
第一章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%80%E7%AB%A0
第七章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%83%E7%AB%A0
第七章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%83%E7%AB%A0
第三章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%89%E7%AB%A0
第三章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%B8%89%E7%AB%A0
第二章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0
第二章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0
第五章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%BA%94%E7%AB%A0
第五章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%BA%94%E7%AB%A0
第八章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%85%AB%E7%AB%A0
第八章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%85%AB%E7%AB%A0
第六章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%85%AD%E7%AB%A0
第六章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%85%AD%E7%AB%A0
第四章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0
第四章https://github.com/gorlf/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0
Parallel Programming with Python.pdfhttps://github.com/gorlf/Parallel-Programming-with-Python/blob/master/Parallel%20Programming%20with%20Python.pdf
Parallel Programming with Python.pdfhttps://github.com/gorlf/Parallel-Programming-with-Python/blob/master/Parallel%20Programming%20with%20Python.pdf
README.mdhttps://github.com/gorlf/Parallel-Programming-with-Python/blob/master/README.md
README.mdhttps://github.com/gorlf/Parallel-Programming-with-Python/blob/master/README.md
READMEhttps://github.com/gorlf/Parallel-Programming-with-Python
https://github.com/gorlf/Parallel-Programming-with-Python#parallel-programming-with-python
第一章:并行、并发分布式编程对比分析https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E5%B9%B6%E8%A1%8C%E3%80%81%E5%B9%B6%E5%8F%91%E4%B8%8E%E5%88%86%E5%B8%83%E5%BC%8F%E7%BC%96%E7%A8%8B%E7%9A%84%E5%AF%B9%E6%AF%94%E5%88%86%E6%9E%90.md
为什么使用并行编程https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E4%B8%BA%E4%BB%80%E4%B9%88%E4%BD%BF%E7%94%A8%E5%B9%B6%E8%A1%8C%E7%BC%96%E7%A8%8B.md
探索并行化的几种模式https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E6%8E%A2%E7%B4%A2%E5%B9%B6%E8%A1%8C%E5%8C%96%E7%9A%84%E5%87%A0%E7%A7%8D%E6%A8%A1%E5%BC%8F.md
并行编程间的通信https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E5%9C%A8%E5%B9%B6%E8%A1%8C%E7%BC%96%E7%A8%8B%E9%80%9A%E4%BF%A1.md
识别并行编程的问题https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E8%AF%86%E5%88%AB%E5%B9%B6%E8%A1%8C%E7%BC%96%E7%A8%8B%E7%9A%84%E9%97%AE%E9%A2%98.md
发现Python并行编程的工具https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E5%8F%91%E7%8E%B0Python%E5%B9%B6%E8%A1%8C%E7%BC%96%E7%A8%8B%E7%9A%84%E5%B7%A5%E5%85%B7.md
小心Python GILhttps://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E5%B0%8F%E5%BF%83Python%20GIL.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%80%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第二章:设计并行算法https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E8%AE%BE%E8%AE%A1%E5%B9%B6%E8%A1%8C%E7%AE%97%E6%B3%95.md
分治技术https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E5%88%86%E6%B2%BB%E6%8A%80%E6%9C%AF.md
使用数据分解https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E4%BD%BF%E7%94%A8%E6%95%B0%E6%8D%AE%E5%88%86%E8%A7%A3.md
用管道分解任务https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E7%94%A8%E7%AE%A1%E9%81%93%E5%88%86%E8%A7%A3%E4%BB%BB%E5%8A%A1.md
处理和映射https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E5%A4%84%E7%90%86%E5%92%8C%E6%98%A0%E5%B0%84.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%8C%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第三章:识别一个可并行的问题https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%89%E7%AB%A0/%E8%AF%86%E5%88%AB%E4%B8%80%E4%B8%AA%E5%8F%AF%E5%B9%B6%E8%A1%8C%E7%9A%84%E9%97%AE%E9%A2%98.md
从多个输入中得到斐波那契最大的值https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%89%E7%AB%A0/%E4%BB%8E%E5%A4%9A%E4%B8%AA%E8%BE%93%E5%85%A5%E4%B8%AD%E5%BE%97%E5%88%B0%E6%96%90%E6%B3%A2%E9%82%A3%E5%A5%91%E6%9C%80%E5%A4%A7%E7%9A%84%E5%80%BC.md
爬取网页https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%89%E7%AB%A0/%E7%88%AC%E5%8F%96%E7%BD%91%E9%A1%B5.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%89%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第四章:使用threading和concurrent.futures模块https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0/ReadMe.md
定义threading模块https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0/%E5%AE%9A%E4%B9%89threading%E6%A8%A1%E5%9D%97.md
使用多线程解决斐波那契序列多输入问题https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0/%E4%BD%BF%E7%94%A8threading%E6%A8%A1%E5%9D%97%E8%A7%A3%E5%86%B3%E6%96%90%E6%B3%A2%E9%82%A3%E5%A5%91%E5%BA%8F%E5%88%97%E5%A4%9A%E8%BE%93%E5%85%A5%E9%97%AE%E9%A2%98.md
使用网络爬虫实现python并发模块https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0/%E4%BD%BF%E7%94%A8%E7%BD%91%E7%BB%9C%E7%88%AC%E8%99%AB%E5%AE%9E%E7%8E%B0python%E5%B9%B6%E5%8F%91%E6%A8%A1%E5%9D%97.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%9B%9B%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第五章:使用多进程和进程池https://github.com/Voidly/Parallel-Programming-with-Python/tree/master/%E7%AC%AC%E4%BA%94%E7%AB%A0
理解进程的定义https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%94%E7%AB%A0/%E7%90%86%E8%A7%A3%E8%BF%9B%E7%A8%8B%E7%9A%84%E5%AE%9A%E4%B9%89.md
实现多进程间通信https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%94%E7%AB%A0/%E5%AE%9E%E7%8E%B0%E5%A4%9A%E8%BF%9B%E7%A8%8B%E9%97%B4%E9%80%9A%E4%BF%A1.md
使用多进程解决斐波那契序列多输入问题https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%94%E7%AB%A0/%E4%BD%BF%E7%94%A8%E5%A4%9A%E8%BF%9B%E7%A8%8B%E8%A7%A3%E5%86%B3%E6%96%90%E6%B3%A2%E9%82%A3%E5%A5%91%E5%BA%8F%E5%88%97%E5%A4%9A%E8%BE%93%E5%85%A5%E9%97%AE%E9%A2%98.md
使用进程池实现网络爬虫https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%94%E7%AB%A0/%E4%BD%BF%E7%94%A8%E8%BF%9B%E7%A8%8B%E6%B1%A0%E5%AE%9E%E7%8E%B0%E7%BD%91%E7%BB%9C%E7%88%AC%E8%99%AB.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%BA%94%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第六章:利用并行Pythonhttps://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/ReadMe.md
理解进程间通信https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/%E7%90%86%E8%A7%A3%E8%BF%9B%E7%A8%8B%E9%97%B4%E9%80%9A%E4%BF%A1.md
发现pp模块https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/%E5%8F%91%E7%8E%B0pp%E6%A8%A1%E5%9D%97.md
在SMP架构上使用pp模块计算斐波那契序列https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/%E5%9C%A8SMP%E6%9E%B6%E6%9E%84%E4%B8%8A%E4%BD%BF%E7%94%A8pp%E6%A8%A1%E5%9D%97%E8%AE%A1%E7%AE%97%E6%96%90%E6%B3%A2%E9%82%A3%E5%A5%91%E5%BA%8F%E5%88%97.md
使用pp模块创建分布式网络爬虫https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/%E4%BD%BF%E7%94%A8pp%E6%A8%A1%E5%9D%97%E5%88%9B%E5%BB%BA%E5%88%86%E5%B8%83%E5%BC%8F%E7%BD%91%E7%BB%9C%E7%88%AC%E8%99%AB.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E5%85%AD%E7%AB%A0/%E6%80%BB%E7%BB%93.md
第七章:用Celery分发任务https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E7%94%A8Celery%E6%9D%A5%E5%88%86%E5%8F%91%E4%BB%BB%E5%8A%A1.md
理解Celeryhttps://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E7%90%86%E8%A7%A3Celery.md
理解Celery架构https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E7%90%86%E8%A7%A3Celery%E6%9E%B6%E6%9E%84.md
建立环境https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E5%BB%BA%E7%AB%8B%E7%8E%AF%E5%A2%83.md
分发简单任务https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E5%88%86%E5%8F%91%E7%AE%80%E5%8D%95%E4%BB%BB%E5%8A%A1.md
用Celery来获得斐波那契数列的项https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E7%94%A8Celery%E6%9D%A5%E8%8E%B7%E5%BE%97%E6%96%90%E6%B3%A2%E9%82%A3%E5%A5%91%E6%95%B0%E5%88%97%E7%9A%84%E9%A1%B9.md
根据任务类型定义队列https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E6%A0%B9%E6%8D%AE%E4%BB%BB%E5%8A%A1%E7%B1%BB%E5%9E%8B%E5%AE%9A%E4%B9%89%E9%98%9F%E5%88%97.md
用Celery来构建一个分布式网络爬虫系统https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E7%94%A8Celery%E6%9D%A5%E6%9E%84%E5%BB%BA%E4%B8%80%E4%B8%AA%E5%88%86%E5%B8%83%E5%BC%8F%E7%BD%91%E7%BB%9C%E7%88%AC%E8%99%AB%E7%B3%BB%E7%BB%9F.md
总结https://github.com/Voidly/Parallel-Programming-with-Python/blob/master/%E7%AC%AC%E4%B8%83%E7%AB%A0/%E6%80%BB%E7%BB%93.md
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