Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

Within the Python in Excel environment, you can directly create and interact with dataframes (the fundamental data structure in Python's powerful pandas library).

Python’s Pandas library allows for advanced data manipulation, statistical analysis, and exploration directly within Excel, streamlining workflows.

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

In the Power BI/Fabric community everyone is excited about the recent release of Semantic Link: the ability to analyse Power BI data easily using Python in Fabric notebooks. Sandeep Pawar has an ...

With its Anaconda Distribution for Python running in Azure, Python in Excel will call common Python libraries, including pandas (data manipulation), statsmodels (advanced statistical modeling ...

The cumbersome process of using Python code in Microsoft Excel data-driven projects will soon be eased by the company's new "Python in Excel" initiative, currently in public preview. Integrating the ...

This will enable users to perform complex statistical analysis, advanced visualizations, predictive analytics, and machine learning in Excel.

Experience collaborative data analysis with Python in Excel. Harness the power of Python modules and unleash your data's full potential.