Concurrent and Parallel Programming in Python
Master Python concurrent programming with threading, multiprocessing, and async techniques. Learn to optimize code performance and efficiency.
Master Python concurrent programming with threading, multiprocessing, and async techniques. Learn to optimize code performance and efficiency.
Dive into the world of concurrent and parallel programming with this comprehensive Python course. Learn to create and manage threads, implement multiprocessing for CPU optimization, and master asynchronous programming. The course covers practical applications like building Wikipedia readers and integrating database systems, providing hands-on experience in developing efficient parallel applications. Perfect for developers looking to enhance their Python programming skills with modern concurrency techniques.
Instructors:
English
Powered by
What you'll learn
Understand the fundamental concepts of concurrent and parallel programming in Python
Implement threading, multiprocessing, and asynchronous programming techniques
Design multi-process programs that execute faster and more efficiently
Apply techniques to distribute workloads across CPU cores
Master the use of queues, schedulers, and database integration
Combine different concurrency approaches for optimal performance
Skills you'll gain
This course includes:
366 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This course offers a comprehensive exploration of concurrent and parallel programming in Python. Students learn essential concepts starting with threading, including creating and managing threads, and building practical applications. The curriculum progresses through multiprocessing techniques for leveraging multiple CPU cores, and culminates with asynchronous programming. Participants gain hands-on experience with queues, schedulers, database integration, and combining different concurrency approaches for optimal performance.
Threading
Module 1 · 4 Hours to complete
Multiprocessing
Module 2 · 40 Minutes to complete
Asynchronous
Module 3 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.