Writing secure code is hard. When you learn a language, a module or a framework, you learn how it supposed to be used. When thinking about security, you need to think about how it can be misused.

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes ...

The same is true for Q# callables defined in Jupyter notebook using the %%qsharp cell magic: These callables can then be invoked as normal Python functions, which will run them in the Q# simulator ...

from typing import Self class Grower: child: Self|None def __init__(self, id:int): self.id = id self.child = None def reproduce(self)->Self: self.child = Grower(self ...

CPython's C-API has GIL acquiring/releasing functions such as PyGILState_Ensure and PyGILState_Release. Programmers can call CPython's C-APIs from outside of Python threads if they manage GIL's state ...

Every programming language has strengths and weaknesses. Python offers many convenient programming conventions but is computationally slow. Rust gives you machine-level speed and strong memory safety ...

A superposed epoch analysis (SEA) is a simple, yet powerful statistical analysis technique, used to identify patterns in the temporal evolution of observed quantities relative to defined epochs. In ...