Welcome to “The Complete Guide to Python Multithreading and Multiprocessing,” your comprehensive journey into the world of parallel programming in Python. Whether you’re looking to boost the performance of your applications or simply curious about how concurrent programming works, this course is designed to equip you with the skills and knowledge you need to master threading and processing in Python.
What You Will Learn
Throughout this course, we will delve deep into the essentials and advanced concepts of multithreading and multiprocessing in Python. Starting with the basics, you’ll first get acquainted with Python’s programming environment and fundamental concepts. As we progress, you’ll:
- Understand the difference between concurrency and parallelism, and when to use each.
- Explore the threading module to create, manage, and synchronize threads efficiently.
- Dive into Python’s multiprocessing module to execute processes in parallel, enhancing your application’s performance.
- Learn about process communication and memory sharing between processes, crucial for complex parallel applications.
- Apply your knowledge through practical, real-world examples, from file searching to web scraping and matrix multiplication.
- Tackle advanced topics such as thread and process pooling, deadlock identification, prevention, and debugging techniques for concurrent programming.
HOMEPAGE – https://www.udemy.com/course/complete-guide-to-python-multithreading-and-multiprocessing/
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