Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

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

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

Excel-maker Microsoft and Anaconda, a key distributor of Python tools, unveiled a collaboration this week that will see Python integrated with Excel. The new Anaconda Python Distribution in Excel, ...

In this post, we will explore everything from basic macro creation to complex data analysis and visualization and help you decide which language is best suited for your Excel automation needs.

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

Data analysis can be complicated and messy, but some tools help make it easy. Here's why you should turn to Excel's Power Query for data analysis.

Some members of the Microsoft 365 Insiders program can now try out the combination of Python's data analysis and visualization libraries, Excel's features and the Anaconda Python repository. Image ...

Using What-If Analysis, you can visualize the effects of different variables, making it easier to assess risks and opportunities. In Excel, three primary tools are available for performing What-If ...