Python 3.14.1 also has a few improvements to building for iOS and iPadOS platforms. Binary modules can now be compiled with dynamic library linking, instead of Framework linking. The iOS testbed app ...

While the September 2025 Shai-Hulud attack focused primarily on credential harvesting and self-propagation, this new variant introduces several critical capabilities that represent a fundamental shift ...

t-toolingIssues with this label are in the ownership of the tooling team.Issues with this label are in the ownership of the tooling team. The usage of an Actor's context manager versus explicitly ...

The challenge takes place from July 11-20 in designated South Florida locations. Participants compete for prizes, including $10,000 for removing the most pythons. Pythons must be killed humanely using ...

Python provides us with many tools for manipulating strings. We won’t introduce them all here, but instead we’ll demonstrate a few which we’ll use in programming exercises, and then introduce more as ...

Quantum devices are still an emerging technology, and not all of them can run every Q# code. As such, you need to keep some restrictions in mind when developing quantum programs. The target profile ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Abstract: Extensive research has been conducted to explore cryptographic API misuse in Java. However, despite the tremendous popularity of the Python language, uncovering similar issues has not been ...

Text has long been customizable in Xcode when creating software for Apple's platforms. Now, String catalogs make it even easier to localize your app to multiple languages. Ever since macOS shipped in ...

Private methods are often used as an implementation detail and are not meant to be accessed directly by the users of a class. The name mangling mechanism in Python makes it difficult to call private ...

Abstract: Despite the popularization of deep neural networks (DNNs) in many fields, it is still challenging to deploy state-of-the-art models to resource-constrained devices due to high computational ...