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.

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

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

Keywords, formatting and measurable achievements can determine whether your resume gets noticed or ignored. Here's how to make every application count.

Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...

This is a collection of algorithms related to multiple view camera calibration in computer vision. Please note that the goal of this package is to provide minimal examples to demonstrate the concept ...

Introduce GitHub Copilot SDK, enabling developers to embed AI capabilities in applications. Simplify agent-based system development by providing access to Copilot’s production-tested agent loop.

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

Recently, we wrote a detailed tutorial on how to build your own AI chatbot with ChatGPT API. And for that project, we used Python and Pip to run several essential libraries. So if you are also getting ...

Abstract: Raspberry Pi (RPi) is a well-known single-board computer natively equipped with a Linux-based operating system, Raspbian, and a powerful programming language, Python. In this article, we ...