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 ...

The power of Python trumps Excel workbooks.

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

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 ...

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...