Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

Python's Global Interpreter Lock (GIL) restricts a process to running only one thread at a time, preventing true parallel execution on multiple CPU cores. This limitation means multi-threading offers no performance advantage over single-threading for CPU-bound tasks, though multi-processing can provide speedups. GIL exists primarily for thread safety, preventing race conditions when multiple threads access shared memory. Python 3.14 introduces the ability to disable GIL, allowing processes to fully utilize all CPU cores and achieve genuine parallel execution.

What is (was?) GIL in Python?

Scrape the web based on search categories