I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Overview: Pandas works best for small or medium datasets with standard Python libraries.Polars excels at large data with ...

Abstract: Palantir Gotham is a big data analysis and management software based on dynamic ontology technology, catering to the domains of military decision-making, national defense security, ...

At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...

AMOS 2025 — The Space Force’s Joint Commercial Operations (JCO) cell is in the midst of a reorganization designed to enable routine integration of space domain awareness (SDA) data and analysis from ...

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 ...

Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. We conducted a systematic ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...