With robust libraries like Openpyxl and Pandas, you can transform yourself into an Excel automation wizard. In this post, I will explore the top ways to harness Python scripts to supercharge your ...

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

However, the rise of Python, coupled with its direct integration into Excel and powerful libraries like openpyxl, xlwings, and pandas, presents a compelling alternative.

Microsoft partnered with Python analytics repository Anaconda to bring libraries like Pandas, Statsmodels, and Matplotlib into Excel.

An integration with top enterprise Python repository Anaconda also means that popular Python libraries including pandas, statsmodels, and Matplotlib will be available in Excel.

With its Anaconda Distribution for Python running in Azure, Python in Excel will call common Python libraries, including pandas (data manipulation), statsmodels (advanced statistical modeling ...

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

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 ...

With native Python integration with Excel, users will be able to use the new “PY” function to input Python code directly into Excel cells.