To run this project, you will once again create and activate a Python virtual environment. Unless you change the code to use another LLM, you’ll need an OpenAI API key.

Another feature, the Anaconda Toolbox Excel Add-In, allows users to run Python code in Excel spreadsheets. Developers can write scripts that use AI to analyze a spreadsheet’s contents.

Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

Overview Python continues to dominate as the most popular coding language for AI development.Emerging AI development languages like Julia and R are gaining trac ...

Google launches Project IDX, a cloud-based AI-driven development environment leveraging AI models like Codey to help developers be productive.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

An open source code library for brain-inspired deep learning, called 'snnTorch,' has surpassed 100,000 downloads and is used in a wide variety of projects. A new paper details the code and offers ...

Yet, as AI agents grow more sophisticated, their reliance on dynamic code execution becomes unavoidable. Enter LangChain Sandbox: a innovative solution designed to bridge this gap.

[Alexander] created codex_py2cpp as a way of experimenting with Codex, an AI intended to translate natural language into code. [Alexander] had slightly different ideas, however, and created codex_p… ...

Because Python code is simple and sleek, I can pull in colleagues to contribute to a complex AI project whenever necessary. They can quickly get themselves up to speed.