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

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

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, ...

Microsoft introduced Python in Excel in August 2023 bringing Python data analysis and data science capabilities to the popular spreadsheet program. The integration allowed users to perform complex ...

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.

Some tasks, such as exploratory data analysis, are best handled through Python or R programming. Python is designed for real-time calculations and Excel is better for advanced data calculations ...

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.

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.

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