It was a late night chased by deadlines, with three Jupyter Notebook windows open on my screen, each processing a 20GB CSV file in different ways.multiprocessing.Pool‘s workers were stepping on each other in memory, while the thread pool of concurrent.futures was dozing off waiting for IO, and my handwritten Dask task flow suddenly threw a … Read more
A Comprehensive Guide to Python Multiprocessing Programming In compute-intensive tasks, Python’s multiprocessing programming is an important technical means to enhance program execution efficiency. Due to the limitations of the Global Interpreter Lock (GIL), Python’s multithreading cannot fully utilize multi-core CPU resources, while multiprocessing programming can break through this bottleneck by creating independent system processes. The … Read more
A Comprehensive Guide to Python Multiprocessing Programming Implementing concurrent programming in Python is an important means to enhance program performance, and multiprocessing programming is an effective way to overcome the limitations of the Global Interpreter Lock (GIL). The multiprocessing module in the Python standard library provides developers with a complete solution for multiprocessing. This article … Read more