Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Ever since Microsoft introduced Python in Excel, I have treated it as a ‘someday’ project. I knew Python integration was the ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

The Library Company reading room on Juniper Street in Philadelphia c. 1935, one of the group’s main locations from 1880 to 1935. The Library Company of Philadelphia Founding father Benjamin Franklin ...

pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the excellent ...

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. No question about it, Python is a crucial part of modern data science.

A few months ago, I had a discussion with some friends online. The premise of the discussion was that even if you account for complexity, shorter code is more likely to be bug-free code. As a C ...