Excel users can now use Python’s advanced capabilities for data manipulation, statistical analysis, and data visualization without leaving their familiar spreadsheet environment. This opens up new ...

Python libraries can handle large datasets and complex calculations very efficiently. The Panda library, in particular, is highly optimized for data manipulation.

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

How is it different from native Python in Excel? Some of you may be aware that you can run Python in Excel natively. However, it is dependent on a cloud-based Anaconda environment to execute code ...

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. The ...

Microsoft today announced the public preview of Python in Excel, which will allow advanced spreadsheet users to combine scripts in the popular Python language and their usual Excel formulas in the ...

Python plots and libraries will be capable of manipulating and exploring data in Excel. From there, users can apply Excel’s formulas, charts and PivotTables to the data they have calculated in ...

Python and Excel can only really talk to each other through limited functions—xl () and =PY ()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.

Python integration in Excel won’t require additional software or add-ons and is instead part of Excel’s built-in connectors and Power Query.

You don't always need high-end tools like Python or OpenRefine to reformat data. Plain old Excel can do the job.