⚡ Module 12: Concurrency

Concurrency is about doing multiple things at once (or at least overlapping their progress).

In Python, concurrency usually shows up in three practical forms:

• Threads (threading, concurrent.futures.ThreadPoolExecutor) for I/O-bound work
• Async (asyncio) for high-concurrency I/O without many OS threads
• Processes (multiprocessing, ProcessPoolExecutor) for CPU-bound parallelism (briefly mentioned)

Estimated Time: 10-12 hours \ Prerequisites: Modules 01-05 \ Level: ⭐⭐⭐⭐ Advanced

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📚 Topics Covered

#	Topic	Description	Key Concepts
01	Threads Basics	Starting and joining threads	Thread, join(), thread pools
02	Synchronization	Coordinating shared state safely	Lock, Event, Semaphore, Queue
03	Async Programming	Cooperative concurrency with asyncio	async/await, tasks, gather()
04	Race Conditions	Understanding data races and fixes	atomicity, locks, message passing
05	Deadlocks	Avoiding "stuck forever" situations	lock ordering, timeouts, design

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🎯 Learning Goals

By the end of this module, you should be able to:

• Choose between threads and async based on the problem.
• Protect shared state with the right synchronization primitive.
• Explain what a race condition is and how to prevent it.
• Recognize and avoid common deadlock patterns.
• Write concurrent code that is correct, testable, and maintainable.

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📂 Module Structure

12_concurrency/
├── README.md
├── 01_threads_basics/
│   ├── README.md
│   ├── examples.py
│   ├── exercises.py
│   └── quiz.md
├── 02_synchronization/
│   ├── README.md
│   ├── examples.py
│   ├── exercises.py
│   └── quiz.md
├── 03_async_programming/
│   ├── README.md
│   ├── examples.py
│   ├── exercises.py
│   └── quiz.md
├── 04_race_conditions/
│   ├── README.md
│   ├── examples.py
│   ├── exercises.py
│   └── quiz.md
└── 05_deadlocks/
    ├── README.md
    ├── examples.py
    ├── exercises.py
    └── quiz.md

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Start here: 01_threads_basics