Billed as the “world’s first museum of AI arts,” Dataland uses wearables and troves of material from the Amazon to merge ...
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
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 ...
⚡️ Datoviz is an open-source, cross-platform, high-performance rendering library for scientific data visualization making extensive use of the graphics processing unit (GPU). Written by one of the ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
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 ...
This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...
Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...