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 ...

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

Effective prompts use four core elements. Start by assigning a role, then give background context, state a clear task with an ...

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 simple sample code that demonstrates how to use the Azure OpenAI Service's Whisper API to transcribe audio files using Python. Please make sure to replace the placeholder values in the .env ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

The LSEG Data Library for Python provides a set of ease-of-use interfaces offering coders uniform access to the breadth and depth of financial data and services available on the LSEG Data Platform.