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 ...

Traditional statistical and machine learning methods mostly focus on correlations, but causal models allow researchers to infer mechanisms and predict the effects of interventions. Nevertheless, the ...

This is a collection of both secure hash functions (such as SHA256 and RIPEMD160), and various encryption algorithms (AES, DES, RSA, ElGamal, etc.). The package is structured to make adding new ...

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 ...

Written by Ken Huang, CEO of DistributedApps.ai and VP of Research at CSA GCR. Everyone seems to talk about Test-Time Computation or Test Time Compute (TTC) as a way to scale the reasoning capability ...

TSTL is a domain-specific language (DSL) and set of tools to support automated generation of tests for software. This implementation targets Python. You define (in Python) a set of components used to ...

Sometimes when dealing with probabilities, things don't always work out the way you might expect. My favorite example of this is the Monty Hall problem. The name comes from the game show Let's Make a ...

In today’s world of generative AI chatbots, we’ve witnessed the sudden rise of OpenAI’s ChatGPT, introduced in November, followed by Bing Chat in February and Google’s Bard in March. We decided to put ...