课程大纲
介绍
理论上的平行 Programming
- 内存架构
- 内存组织
基于线程和基于进程的并行性
- 实例化和确定线程
- 使用线程同步
- 创建、命名、运行和同步进程
- 使用 Asyncio 进行异步编程
分布式 Python
- 使用芹菜
- 使用 SCOOP
- 使用 Pyro4
- 使用 PyCSP
- 使用 RPyC
GPU Programming
- 使用 PyCUDA 模块
- 使用 NumbaPro
- 使用 PyOpenCL
- 使用 PyOpenCL 进行测试
测试和故障排除
- 使用单元测试进行测试
- 使用模拟测试进行测试
总结和结论
要求
- Python 编程经验
观众
- 软件开发人员
客户评论 (5)
示例/练习完全适合我们的领域
Luc - CS Group
课程 - Scaling Data Analysis with Python and Dask
机器翻译
培训师非常乐意回答我所做的所有问题
Caterina - Stamtech
课程 - Developing APIs with Python and FastAPI
机器翻译
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
课程 - Build REST APIs with Python and Flask
传授培训师的实践知识和经验。
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
课程 - GUI Programming with Python and PyQt
机器翻译
As I was the only participant the training could be adapted to my needs.