Since its introduction, Microsoft Excel has changed the way people organize, analyze, and visualize data, driving decision-making for the millions of people who use it every day. Today, we're making significant progress in the analytical capabilities of Excel by announcing the release of the public preview of Python in Excel. Python in Excel can combine analysis from Python and Excel in the same workbook, with no configuration required. With Python in Excel, you can type Python directly into a cell and Python calculates the valuemicrosoft-wolk, your results are returned to the worksheet, including graphs and visualizations.
Easily combine your data in Excel and visualize it with Python.
Python in Excel is rolling out in public preview for those in the Microsoft 365 Insiders program who are using the beta channel in Excel for Windows.
Watch Python in Excel in action and learn more below:
Every day, millions of users around the world rely on familiar Excel tools like formulas, charts, and PivotTables to analyze and understand their data. Starting today, Python in Excel is also natively integrated into Excel Grids. First, just use the new PY function to enter Python code directly into an Excel cell.
Create DataFrames with just a few clicks.
Excel users now have access to powerful analytics through Python for visualization, data cleansing, machine learning, predictive analytics, and more. Users can now create end-to-end solutions that seamlessly blend Excel and Python, all within Excel. Using the built-in Excel and Power Query connectors, users can easily bring external data into Python within an Excel workflow. Python in Excel supports the tools users already know and love, like Excel formulas, PivotTables, and charts.
Here are some examples of the types of analysis you can now perform with Python in Excel:
advanced visualization
Leverage the power of popular Python graphics libraries, such asMatplotlibInsibornoCreate a variety of charts, from traditional bar and line charts to specialized visualizations such as heat maps, violin charts, and cluster charts.
Pairwise charts using Seaborn.
Machine learning, predictive analytics and forecasting
Take advantage of the functionality of Python libraries such asscience learningInparent modelApply machine learning, predictive analytics, and popular forecasting techniques like regression analysis, time series modeling, and more.
A machine learning model for forecasting the weather using Python and Excel LAMBDA.
clean data
Make effective use of advanced data cleansing techniques such as finding missing values, normalizing sizes, removing duplicates, and pattern-based transformations using techniques such as regular expressions.
Extract dates with regular expressions.
2. Python in Excel demonstrates the best analytical capabilities of Python through Anaconda.
Anaconda is the leading enterprise Python repository used by tens of millions of data professionals around the world. Python in Excel uses the Anaconda distribution for Python running on Azure, which includes the most popular Python libraries (such as Pandas, Matplotlib, scikit-learn, and more), built, tested, and securely supported by Anaconda. Anaconda provides Python support for extensive analysis in Excel using Python.
"I'm pleased to announce the integration of the Anaconda Distribution for Python into Microsoft Excel, a breakthrough that will transform the workflow of millions of Excel users around the world," said Peter Wang, CEO and co-founder of Anaconda.
3. Python in Excel runs securely in the Microsoft cloud with no configuration requiredrequired.
The Python code used by Excel runs in the Microsoft cloud with enterprise-grade security as a connected and supported Microsoft 365 experience. Python code runs in its own hypervisor-isolated container using Azure Container InstanceAnaconda provides secure packages built from scratch through a secure software supply chain. Python in Excel protects the privacy of your dataPrevent Python code from knowing who you are and further isolate books from the Internet into their own separate container. Data in a book can only be accessed through the built-in toolSG()Python function and Python code output can only be returned as result=PI()Excel functions.
Read more about our data security
4. Python in Excel is designed for teams.
Users can confidently share Python in Excel workbooks. Team members can seamlessly interact with Python and update Excel-based analytics without having to worry about installing additional tools, the Python runtime, or managing libraries and dependencies. Users can share workbooks using their favorite collaboration tools, like Microsoft Teams and Microsoft Outlook, and seamlessly collaborate by commenting, @mentioning, and co-writing with colleagues, just like in Excel.sensitivity labelIf you apply them to books that contain Python, they comply with your organization's information protection policies.
5. Python in Excel shows Microsoft's strong commitment to Python.
Python in Excel was born from the close collaboration of several teams at Microsoft, including Microsoft Excel, the Microsoft Developer Division, Microsoft Security, Microsoft Azure, and Microsoft Research. The project embodiesPython a MicrosoftWe're looking forward to working with the Python community to make Python better and more accessible for everyone.
Guido van Rossum, creator of Python, BDFL emeritus, and current Microsoft Distinguished Engineer, helped define the architecture of Python in Excel. Here is his response to the public preview:
"I'm delighted that this great, tight integration of Python and Excel is now available. I hope both communities find exciting new uses for this partnership, expanding the possibilities for each partner. When I joined Microsoft, I never dreamed of it. This would be possible. The Excel team is fantastic!"
McGraw Heuvel- "McGraw Hill's philosophy is Education for All, and our partnership with Microsoft has helped improve students' use of Excel so they are prepared for their careers. Python is one of the most in-demand skills in the We're hearing from colleges and universities, and we're excited that Python in Excel is providing educators and students with a powerful new portal to faster analysis, better collaboration and learning, and ultimately a bridge to a better future for students. ". -Rebeca Olson,Senior Portfolio Manager
McKinney-"The ability to run Python within Excel simplifies McKinney's reporting workflow. We used to manipulate data structures in Jupyter Notebook, filter and aggregate data, and create images in Excel. Now we can manage the entire workflow in Excel. This makes Excel more powerful and Python easier to use across the organization. Python support is the most exciting Excel upgrade of my career! "-Greg Barnes,Executive Director of Data and Analytics
KPMG-"KPMG and Microsoft are making significant investments to deliver advanced cloud-based tax technology. At KPMG, we are excited about the impact that Python in Excel will have for our tax clients. The promise of data and security delivered on the Microsoft cloud with With Python support, Python has the potential to enhance the Excel experience for advanced analytics while providing businesses with transparency, simplicity, and deeper financial insights."– Texas Varia, Hoofd fiscal data and analysis
Python in Excel is gradually rolling out to users using the beta channel on Windows. This feature will first be implemented in Excel for Windows, starting with compilation.16.0.16818.20000, and later to other platforms.
To use Python with Excel, join thePrograma Microsoft 365 local. Select the Beta Channel Insider level to get the latest version of the Excel app.
not yet?It could be us, not you. Features will be released over time to keep things running smoothly. We're highlighting features you may not have as they're slowly rolling out to more Insiders. From time to time we remove some items to keep improving based on your feedback. While this is rare, we also reserve the right to completely remove a feature from the product, even if you as an Insider have had a chance to try it out.
As a preview, Python in Excel is included with your Microsoft 365 subscription. After the preview, some features will be limited without a paid license. More details will be provided closer to the official release.
Excel and Python users can provide feedback directly within the app (go topersonal>feedback), it is suggested to ourfeedback portalor contact our teamGitHub。
As mentioned above, we released Python in Excel as a public preview for the Insiders Beta channel, so you can expect new features to appear soon. Stay tuned for updates on improved editing experiences, such as autocompletion and syntax highlighting, standard representatives, improved error behavior, help and documentation, and more. Also, to prevent abuse, the system currently has some calculation and data size limitations that we will closely monitor and adjust.
Introduction to Python in Excel
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