Python has made using Microsoft Excel much easier than it has ever been, and it isn't very hard to start using it yourself.

Program-side access to Excel is interesting for many areas of application. It is therefore not surprising that Python provides libraries for this purpose. In addition to pandas, openpyxl should also ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

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 ...

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences matter most, with Polars and DuckD ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Python in Excel makes data cleaning easier than formulas ever did—no coding background required.

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: ...

Since the creation of python reading in files has become much easier with each update and with each added package. To work with csv and xlsx files the easiest package is the pandas package because it ...