Concurrent and Parallel Programming in Python

In this 6 hr course, learners will deeply understand concurrency and parallelism in Python to solve computational bottlenecks effectively. Through hands-on projects and examples, participants explore threading, multiprocessing, and asynchronous programming to enhance program performance and maximize CPU resource utilization.

What I will be able to do after this course

• Understand the difference between concurrency and parallelism and where each is appropriate to use.
• Implement threading in Python for simultaneous task execution and efficiency in IO-bound operations.
• Utilize multiprocessing to distribute workload across multiple CPUs for computationally intensive tasks.
• Combine asynchronous programming with multiprocessing to fully leverage modern multi-core systems.
• Develop practical skills in creating efficient, scalable, and fast Python applications utilizing advanced programming paradigms.

Course Instructor(s)

Maximilian Schallwig is a dedicated instructor with extensive expertise in Python programming and a passion for teaching complex technical concepts in an accessible manner. With professional experience in developing robust and efficient software solutions, Maximilian brings practical, real-world insights to the course. His engaging and clear teaching style ensures learners grasp both theoretical and practical aspects of concurrent and parallel programming effectively.

Who is it for?

This course is designed for intermediate Python developers, API developers, and application developers who aim to optimize their programs' performance. Ideal learners are familiar with Python concepts and want to delve into concurrency and parallelism to maximize resource utilization and enhance computational efficiency in their projects.