Excel has been the go-to tool for data manipulation and analysis for years. However, Python, with its powerful libraries and scripting capabilities, is emerging as a strong contender. If you are ...

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.

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

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 ...

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

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 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 ...

Ever wished you could do more with Microsoft Excel? Microsoft just announced the release of a public preview of Python in Excel, which would allow users to add Python code directly into a ...