This article explains concurrency in Python including topics like multithreading, multiprocessing, race conditions, and synchronization mechanisms such as locks. We’ll then take a deep dive into switching off GIL to enable real multithreading in Python, highlighting the differences, the benefits and the gotchas with clear code examples. https://blog.geekuni.com/2026/04/python-concurrency.html
Learn about Microsoft Fabric and its applications of ML through a project analyzing Titanic's passenger data. This tutorial is an end-to-end demonstration of Microsoft Fabric that guides learners from descriptive and diagnostic analytics to predictive analytics using the popular Kaggle Titanic dataset. The goal of the tutorial is to train a binary classification machine learning model capable of predicting whether an individual would have survived or perished on the Titanic, based on personal details like their age, gender, and ticket class. https://www.i-programmer.info/news/150-training-a-education/18831-microsoft-fabric-machine-learning-tutorial-the-course.html