Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Science is becoming increasingly computational. Experimental data must be logged, cleaned, checked and analysed. Data analysis often involves iterative trial and ...

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution. A scientist examines a DNA (deoxyribonucleic acid) profile on ...

ssrJSON is a Python JSON library that leverages modern hardware capabilities to achieve peak performance, implemented primarily in C. It offers a fully compatible interface to Python’s standard json ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

The Cybersecurity and Infrastructure Security Agency and Federal Bureau of Investigation assert that C, C++, and other memory-unsafe languages contribute to potential security breaches. The federal ...

Make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you ...