Master concurrency for coding interviews. Threading, synchronization, classic problems, concurrent data structures, and Python concurrency patterns.
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Understand the core concepts of concurrency: threads, processes, coroutines, and the dangers of shared state.
Master the building blocks of thread safety: mutexes, semaphores, monitors, read-write locks, and atomic operations.
Solve the legendary concurrency problems: Producer-Consumer, Readers-Writers, Dining Philosophers, Sleeping Barber, and Cigarette Smokers.
Build thread-safe data structures from scratch: queues, hash maps, blocking queues, lock-free stacks, and thread pools.
Master Python's concurrency toolkit: the GIL, threading, multiprocessing, asyncio, and concurrent.futures.
Apply concurrency to real systems: web servers, connection pools, rate limiters, map-reduce, and pub-sub.
Solve the most common concurrency problems from coding interviews: ordering, synchronization barriers, and thread-safe data structures.