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所在平台: Udemy |
课程主页: https://www.udemy.com/course/concurrent-programming-in-python/
课程评论：没有评论
Python并发编程课程总结 本课程旨在帮助学员全面掌握Python中的并发编程技术。课程内容涵盖了多线程编程的常见技巧和并行处理的多种方法。通过丰富的实例，学员将深入了解Python提供的各种并发处理方式，包括利用相关库和工具来充分发挥处理器的性能。 课程将从并行处理的基本理论和发展历史讲起，引导学员学会根据具体需求选择最合适的并行处理方案。学习完成后，学员将对使用Python的线程和进程技术有深入的理解，并能够运用到实际项目中。 **课程亮点：** * **核心技术：** 深入讲解Python的多线程和多进程机制。 * **实用工具：** 介绍Python原生及第三方库，支持并发开发。 * **理论与实践结合：** 融合并行计算的基本理论和实际应用案例。 * **性能优化：** 学习如何利用并发技术提升程序性能。 * **案例驱动：** 通过真实世界的例子，巩固学习内容。 **适合人群：** 需要提升Python程序性能，对并发编程感兴趣的开发者。 **讲师团队：** BignumWorks Software LLP，一家专注于软件开发和技术培训的印度公司，在Web、移动、云应用开发、数据科学以及内训服务等领域拥有丰富的专业知识。
In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing. Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing. After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.About the AuthorBignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services
