Announcing Python in Excel: Next-Level Data Analysis for All - Anaconda

Today, Anaconda and Microsoft announced a groundbreaking innovation: Python in Excel. This marks a transformation in how Excel users and Python practitioners approach their work.
For Excel users, this opens a new world of data analysis potential previously limited to data scientists and developers. Within your familiar spreadsheet environment, you can now harness Python’s power to perform complex statistical analyses with popular packages such as pandas and statsmodels and create sophisticated visualizations using Matplotlib and Seaborn. Python practitioners can now marry scripts and rich visualizations with the widespread accessibility of Excel, enabling an uninterrupted workflow and making your work easier to share with colleagues who primarily use Excel.
The integration of the Anaconda Distribution for Python in Microsoft Excel is more than a feature; it’s a redefinition of what’s possible within data analytics. It combines Python’s advanced capabilities with Excel’s familiar interface, bridging the gap between high-powered data science and everyday business tools. The future of data analytics has arrived, and it’s more integrated, more powerful, and more accessible than ever. In this post, we’ll share how Python in Excel works, what you can do with it, and how to get started.

Read more:


Post popolari in questo blog

"Data analytics per tutti" di Andrea De Mauro: la guida pratica per lavorare con i dati

Come usare ChatGPT per migliorare il proprio lavoro

Appunti sui nodi di knime