These are my go-to libraries for Python data crunching.

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list shuffling, ...

On June 11, 2025, the Python core team released Python 3.13.5, the fifth maintenance update to the 3.13 line. This release is not about flashy new language features, instead, it addresses some ...

RandomNumbers.jl is a package of Julia, in which several random number generators (RNGs) are provided. If you use the Intel Math Kernel Library (MKL), VSL.jl is also a good choice for random number ...

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 ...

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...

Pandas is a robust data manipulation library that offers high-performance, user-friendly data structures and analytical tools in Python. Pandas enables users to import, clean, transform, and analyze ...

A new Python-based hacking tool called FBot has been uncovered targeting web servers, cloud services, content management systems (CMS), and SaaS platforms such as Amazon Web Services (AWS), Microsoft ...