Super Fast Python

Discover how to execute Python loops using all CPU cores. Book: "Parallel Loops in Python" marvelous-writer-6152.ck.page/99ee689b9b

Use multiprocessing.Process to run concurrent processes #Python #Concurrency

threading.BoundedSemaphore API #Python #Concurrency

Tip: Use notify() or notify_all() to wake up waiting threads only when the desired state has changed, minimizing unnecessary wake-ups. #Python #Concurrency

Asynchronous Requests in Python superfastpython.com/python-async-r… #Python #Concurrency

Use threading.Thread to run tasks concurrently #Python #Concurrency

Tip: Always use a with statement to acquire the condition's underlying lock, ensuring safe access to shared resources. #Python #Concurrency

Multiprocessing Manager Server Process and Threads superfastpython.com/multiprocessin… #Python #Concurrency

Use a multiprocessing.Process to run a periodic task #Python #Concurrency

Asyncio gather() Limit Concurrency superfastpython.com/asyncio-gather… #Python #Concurrency

Use a background thread with time.sleep() for periodic execution #Python #Concurrency

Tip: Use Python's threading.Condition to synchronize threads that need to wait for specific states or conditions. #Python #Concurrency

Asyncio Event Loop Exception Handler superfastpython.com/asyncio-event-… #Python #Concurrency

Use threading.Timer to schedule a periodic task with threads #Python #Concurrency

threading.Semaphore API #Python #Concurrency

Tip: In asyncio, prefer event.wait() over polling to maintain non-blocking behavior within the event loop. #Python #Concurrency

When Are Asyncio Tasks Canceled superfastpython.com/asyncio-when-a… #Python #Concurrency

Use concurrent.futures.ProcessPoolExecutor for parallel processing #Python #Concurrency

Tip: Handle potential race conditions by setting events before starting dependent threads or tasks. #Python #Concurrency

Choose the Right Python Concurrency API superfastpython.com/python-concurr… #Python #Concurrency

Use threading.Thread to run a for loop in parallel #Python #Concurrency