DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal, marking another step toward ...

Microsoft is extending Dataverse into coding-agent marketplaces while expanding its MCP tools, certification program and governance controls.

Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralized ...

Reinforcement learning for language agents is growing more complex. Agents now manage multi-turn tool use, long-running contexts, and multi-agent orchestration. The main engineering challenge is ...

Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance problems. Using Python, one can load large amounts ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Go delivers faster execution and better concurrency for large-scale data tasks. Python offers simplicity and rich libraries ideal for data analysis and machine learning. The best choice depends on ...

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 repository contains the code for running the QME method, developed by Andrew Dowdy in IDL and translated to Python by Andrew Gammon for use by the ACS. A simple example notebook has been provided ...

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 ...