Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (2023)

Since its inception, Microsoft Excel has changed the way people organize, analyze and visualize their data, providing a basis for decision-making for the millions of people who use it every day. Today, we're announcing a significant evolution in the analytical capabilities available in Excel by releasing a public preview of Python in Excel. Python in Excel allows you to naturally combine Python and Excel analyzes in the same workbook with no configuration required. With Python in Excel, you can type Python directly into a cell in which the Python calculations are performedMicrosoft skyand its results are returned to the spreadsheet, including graphs and visualizations.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (1)Add and visualize your data seamlessly with Python in Excel.

Python in Excel is rolling out in public preview to those in the Microsoft 365 Insiders program using the Beta channel in Excel for Windows.

See Python in Excel in action and learn more below:

Every day, millions of users around the world rely on familiar Excel tools, such as formulas, charts, and pivot tables, to analyze and understand their data. Starting today, Python in Excel will also be integrated directly into the Excel grid. To get started, simply use the new PY function that allows you to enter Python code directly into Excel cells.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (2)Create DataFrames with a few simple clicks.

Excel users now have access to powerful analytics through Python for visualizations, data cleaning, machine learning, predictive analytics and more. Users can now create end-to-end solutions that seamlessly blend Excel and Python, all in Excel. Using the built-in Excel and Power Query connectors, users can easily bring external data into Python in Excel workflows. Python in Excel supports the tools users already know and love, such as Excel formulas, pivot tables, and charts.

Here are some examples of the types of analysis now possible with Python in Excel:

advanced visualizations

Harness the power of popular Python graphics libraries such asMatplotlibyborn in the seato create a wide variety of charts, from conventional bar charts and line charts to specialized visualizations such as heat maps, violin charts and swarm charts.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (3)Pair diagram using Seaborn.

Machine learning, predictive analytics and forecasting

Take advantage of the possibilities of Python libraries such aslearning scikitystate modelsapplying popular machine learning, predictive analytics and forecasting techniques such as regression analysis, time series modeling and more.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (4)Machine Learning model that predicts the weather using Python and Excel LAMBDA.

data cleaning

Make effective use of advanced data cleaning techniques, such as locating missing values, standardizing formats, removing duplicates, and using techniques such as regular expressions for pattern-based transformations.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (5)Date extraction using regular expressions.

2. Python in Excel exposes the best of Python parsing through Anaconda.

Anaconda is a leading Python repository used by millions of data professionals worldwide. Python in Excel leverages the Anaconda Distribution for Python running on Azure, which includes the most popular Python libraries (for example, pandas, Matplotlib, scikit-learn, etc.) and is securely built, tested, and supported by Anaconda. Python provided by Anaconda supports a wide range of analyzes with Python in Excel.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (6)

"I am 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 Anaconda CEO and co-founder Peter Wang.

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 experience powered by Microsoft 365. The Python code runs in its own isolated hypervisor container using Azure Container Instances.and secure packages built from Anaconda source through a secure software supply chain. Python in Excel keeps your data privateprevent python code from knowing who you are and open internet workbooks more isolated in their own separate containers. Your workbook data can only be sent through the integratedSG()Python function, and the output of Python code can only be returned as a result of=PI()excel function

Learn more about our data security

4. Python in Excel is designed for teams.

Users can share Python in Excel workbooks with confidence. Teammates can seamlessly interact and update Python in Excel-based analytics without having to worry about installing additional tools, Python runtimes, or managing libraries and dependencies. Users can share workbooks using their favorite collaboration tools like Microsoft Teams and Microsoft Outlook, and collaborate seamlessly through comments, @mentions, and co-authoring with colleagues, just as they normally would in Excel.sensitivity labelsapplied to your workbooks containing Python will keep them in compliance with your organization's data protection policies.

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (7)

5. Python in Excel reflects Microsoft's deep commitment to Python.

Python in Excel was designed through close collaboration between multiple teams at Microsoft, including Microsoft Excel, the Microsoft Developer Division, Microsoft Security, Microsoft Azure, and Microsoft Research. This project reflects the importance ofPython and Microsoftand our commitment to helping the Python community and making Python better and more accessible to everyone.

Guido van Rossum, creator of Python, BDFL emeritus, and now Microsoft Distinguished Engineer, has helped define Python's architecture in Excel. Here's his reaction to the public preview:

"I'm thrilled that this amazing, tight integration of Python and Excel is seeing the light of day. I hope both communities find exciting new uses for this collaboration, amplifying the capabilities of each partner. When I joined Microsoft three years ago, would I" I didn't imagine that was possible. The Excel team excels!”

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (8)

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (9)

Colina McGraw- "The McGraw Hill ethos is education for all, and our partnership with Microsoft has helped improve student access to Excel tools and promote career readiness. Python is one of the most in-demand skills we hear from colleges and universities, and we're excited that Python in Excel gives educators and students a powerful new gateway to move faster with analytics, enable greater collaboration and learning, and ultimately unite students toward even brighter futures." -Rebeca Olson,Senior Portfolio Manager

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (10)

McKinney - "The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter and aggregate data in a Jupyter Notebook and create images in Excel. Now we can manage the entire workflow in Excel. This will make Excel much more powerful and make Python more accessible across the organization. Python support is the most exciting Excel upgrade of my career! -Greg Barnes,director of data and analysis

Announcing Python in Excel: Combines the power of Python with the flexibility of Excel. (11)

KPMG-"KPMG and Microsoft are making significant investments to offer advanced cloud-based tax technologies. At KPMG, we are excited about the impact that Python in Excel will have for our Tax clients. Backed by Microsoft's cloud-enabled data and security promises, Python has the potential to enhance the Excel experience for advanced analytics while providing companies with transparency, simplicity and deeper insight into their finances."– Texas Varia, Director of Fiscal Data and Analysis

Python in Excel is gradually rolling out to users running the Beta Channel on Windows. This feature will first be implemented in Excel for Windows, starting with compilation.16.0.16818.20000and then to the other platforms at a later date.

To use Python an Excel, use alMicrosoft 365 internt program. Choose the Beta Channel Insider tier to get the latest versions of the Excel app.

Still don't have it?It's probably us, not you. Features are released over time to ensure everything runs smoothly. We're highlighting features you might not have because they're slowly rolling out to a larger number of Insiders. Sometimes we remove elements to make it even better based on your feedback. Although 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.

While in Preview, Python in Excel will be included with your Microsoft 365 subscription. After Preview, some features will be limited without a paid license. More details will be available before general availability.

Excel and Python users can submit feedback directly in the app (go toHelp>Comment), suggest improvements in ourfeedback portalor interact with our team atGitHub.

As mentioned above, we will be releasing Python in Excel as a public preview on the Insiders Beta channel, so you should expect new features to appear soon. Look out for updates in the following areas: improved editing experiences (such as auto-completion and syntax highlighting), default repeats, improved error behavior, help and documentation, and more. To prevent abuse, the system also currently has some calculation and data size limitations that we will closely monitor and adjust.

Introduction to Python in Excel

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