Big update! Excel+Python=Infinite Possibilities!

Microsoft is bringing Python, the popular programming language, to Excel

It enables Excel users to use Python to process and analyze data directly in the table, bringing innovation to the data science workflow.

With the help of Python, users can clean data, visualize results, or perform machine learning and predictive analysis in Excel, making full use of Excel's charts, pivot tables and other functions to make data analysis work more powerful and complete.

Python injects vitality into Excel, and Excel provides a perfect stage for Python analysis. The cooperation between the two is like a match made in heaven.

Specifically, this new combination brings the following conveniences to users:

Enter Python code in the cell

The calculation process is run in the cloud and the results are returned to the Excel table

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Machine learning with Python

Access various powerful analysis function libraries through Python for visualization, data cleaning, machine learning, predictive analysis, etc.

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Enhance collaboration capabilities

Collaboration is easier, and results can be refreshed even if team members are not using Excel's Python capabilities.

Even if a team member does not have Python in Excel activated, they can refresh Python in Excel Analysis to get the latest information.

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Using Python libraries in Excel

Excel has added a new "PY" function, which can directly display the output results of Python code in the table, which is very convenient.

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Many popular Python data analysis tools such as pandas, statsmodels, Matplotlib, etc. can also be used directly in Excel, expanding the functional boundaries of Excel.

experience

To experience this feature, users need to join the Beta channel of the Microsoft 365 Insider program to obtain the latest version of Excel.

After that, just select "Insert Python" in the formula ribbon to get started.

I believe that the powerful combination of Excel and Python will bring more possibilities to data workers.

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Origin blog.csdn.net/spider_py/article/details/132505702