Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.

Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...

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A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

OpenAI has finally added Code Interpreter to ChatGPT, the most anticipated feature that opens the door for so many possibilities. After ChatGPT Plugins, people have been waiting for Code Interpreter, ...

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 ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

Back in December, Gemini 2.0 Flash Thinking was announced as Google’s first reasoning model and an updated experimental version is now available to test. We’ve also enabled code execution as a tool, ...