Concurrent Programming in Python
Harness the power of modern code structures with Python to improve performance and flexibility
Ratings 3.36 / 5.00
What You Will Learn!
- Increase your awareness of concurrency in Python
- Distinguish between parallel programming and concurrent programming
- Explore Python's threading module
- Familiarize yourself with Python's Global Interpreter Lock (GIL)
- Master the similarities between thread and process management
- Practice with open source Libraries
- Learn process synchronization and inter-process communication
- Work with best practices and caveats
Description
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 Author
BignumWorks 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
Who Should Attend!
- Python developers who want to learn how to write concurrent applications to speed up the execution of their programs, and to provide interactivity for users, will greatly benefit from this course.
