Concurrency

Avoiding Deadlocks in Multithreading

Best Practices & Optimization

Multithreading in Python can lead to deadlocks when threads wait for each other's resources, halting the program. Learn their causes and prevention techniques.

Exception Handling in Multithreading

Error Handling & Exceptions in Python

Multithreading in Python improves performance but uncaught exceptions in a thread cause silent termination, requiring careful exception handling.

Python Asyncio Reference

Cheatsheets & Reference Guides

Asyncio is Python's library for writing concurrent code with async/await, ideal for I/O-bound tasks. It uses a single-threaded event loop instead of threads for efficient task switching.

Python Multithreading Reference

Cheatsheets & Reference Guides

Python multithreading enables concurrent execution but is limited by the Global Interpreter Lock (GIL). It's best for I/O-bound tasks, not CPU-intensive ones, and requires careful handling.

Testing Asynchronous Code

Testing & Debugging

Testing async Python code requires modern tools to handle race conditions and ensure reliability in applications.