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Mastering Concurrency in Python

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Track :

Programming

Lessons no : 19

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What will you learn in this course?
  • Understand core concurrency concepts and principles in Python, including Amdahl's Law and parallel processing techniques
  • Implement multithreading and multiprocessing to optimize Python applications for performance and efficiency
  • Develop asynchronous I/O solutions to handle real-world, high-performance web scraping and data retrieval tasks
  • Identify and troubleshoot common concurrency issues such as race conditions, deadlocks, and resource contention
  • Apply best practices for designing scalable, thread-safe, and efficient Python programs in complex environments
  • Utilize Python libraries and tools for effective concurrency management and asynchronous programming
  • Analyze performance bottlenecks in concurrent Python applications and implement appropriate solutions
  • Integrate concurrency techniques into real-world projects to improve responsiveness and throughput

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Lessons | 19
Mastering Concurrency in Python | 1 Advanced Introduction to Concurrent and Parallel Programming
00:00:56

Mastering Concurrency in Python | 1 Advanced Introduction to Concurrent and Parallel Programming
Mastering Concurrency in Python | 2 Amdahl s Law
00:00:54

Mastering Concurrency in Python | 2 Amdahl s Law
Mastering Concurrency in Python | 3 Working with Threads in Python
00:01:22

Mastering Concurrency in Python | 3 Working with Threads in Python
Mastering Concurrency in Python | 4 Using the with Statement in Threads
00:01:56

Mastering Concurrency in Python | 4 Using the with Statement in Threads
Mastering Concurrency in Python | 5 Concurrent Web Requests
00:01:50

Mastering Concurrency in Python | 5 Concurrent Web Requests
Mastering Concurrency in Python | 6 Working with Processes in Python
00:01:54

Mastering Concurrency in Python | 6 Working with Processes in Python
Mastering Concurrency in Python | 7 Reduction Operators in Processes
00:00:39

Mastering Concurrency in Python | 7 Reduction Operators in Processes
Mastering Concurrency in Python | 8 Concurrent Image Processing
00:02:13

Mastering Concurrency in Python | 8 Concurrent Image Processing
Mastering Concurrency in Python | 9 Introduction to Asynchronous Programming
00:00:54

Mastering Concurrency in Python | 9 Introduction to Asynchronous Programming
Mastering Concurrency in Python | 10 Implementing Asynchronous Programming in Python
00:01:46

Mastering Concurrency in Python | 10 Implementing Asynchronous Programming in Python
Mastering Concurrency in Python | 11 Building Communication Channels with asyncio
00:03:03

Mastering Concurrency in Python | 11 Building Communication Channels with asyncio
Mastering Concurrency in Python | 12 Deadlocks
00:02:50

Mastering Concurrency in Python | 12 Deadlocks
Mastering Concurrency in Python | 13 Starvation
00:00:58

Mastering Concurrency in Python | 13 Starvation
Mastering Concurrency in Python | 14 Race Conditions
00:01:25

Mastering Concurrency in Python | 14 Race Conditions
Mastering Concurrency in Python | 15 The Global Interpreter Lock
00:01:01

Mastering Concurrency in Python | 15 The Global Interpreter Lock
Mastering Concurrency in Python | 16 Designing Lock Based and Mutex Free Concurrent Data Structures
00:01:54

Mastering Concurrency in Python | 16 Designing Lock Based and Mutex Free Concurrent Data Structures
Mastering Concurrency in Python | 17 Memory Models and Operations on Atomic Types
00:00:42

Mastering Concurrency in Python | 17 Memory Models and Operations on Atomic Types
Mastering Concurrency in Python | 18 Building a Server from Scratch
00:04:10

Mastering Concurrency in Python | 18 Building a Server from Scratch
Mastering Concurrency in Python | 19 Testing Debugging and Scheduling Concurrent Applications
00:06:12

Mastering Concurrency in Python | 19 Testing Debugging and Scheduling Concurrent Applications


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Indhu R

This course is very helpful 2025-07-12

K.Mahalakshmi Revathi

Worth the time spent 2025-07-02

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Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face .