Anaconda, Inc.

The wait is over - Python in Excel is officially generally available! Simply type =PY( and you’re ready to go! 📊 + 🐍 = 💚 The Anaconda team has worked closely with Microsoft to make this integration seamless and powerful. Now, millions of new users can: 🐍 Run Python code securely in Microsoft Excel, no setup required 🤖 Perform advanced data analysis and machine learning 📊 Create stunning visualizations with Python libraries like Matplotlib and Seaborn Whether you're a data analyst, business leader, or Python practitioner, this integration will supercharge your Excel experience, opening up new horizons for deeper insights and smarter decisions. Try it today and see how Python in Excel can elevate your data game! Read more in our press release on the news 🔗 https://lnkd.in/dpkNRyAB Many thanks to the Anaconda, Inc. and Microsoft teams for their work bringing Python in Excel to life, including Timothy Hewitt, Cheng H. Lee, Jim Kitchen, Owen Price, Tiffany McEachern, Nicole Michaelis, Alan McCarty, Albert DeFusco, Keyur Patel, Tiffany Barnes, Carlos Otero, Joe McDaid and many more.

📢 Big news! We’re thrilled to announce that Anaconda, Inc.'s conda Fundamentals certification program is now included in our paid subscription plans! This program includes two courses: conda Basics and conda Essentials. You’ll learn: ✅ What conda is and how conda environments, packages, and channels work ✅ How to use the conda installation directory and environment directory ✅ How to create, manage, and share conda environments ✅ How conda recipes work and how to build them You’ll earn the conda Fundamentals certificate by passing the final exam with a score of 70% or higher. Best of all? The $100 USD exam fee has been waived! Now, as a paid subscriber, you can take the exam for free and get certified! 🏅 🔗 Ready to boost your skills? Register now: https://lnkd.in/gdVt3dcn

AI has the potential to transform more than just the way we develop content and code. It's being used for real-world analysis to make life better. Check out this example from a user that leveraged Anaconda, Inc.'s cloud based Jupyter notebooks to run Python and develop an AI-powered predictive crop yield application. 🐍 👨🌾

Check out this insightful post from Anaconda, Inc.'s Owen Price on why you might want to use Python in Excel over VBA. Have you experimented with Python in Excel yet? Let us know your thoughts in the comments!

Ready to level up your Python in Excel skills? We’ve got you covered with a comprehensive resource guide, packed with everything from certification courses to tutorials and thriving communities! 📊✨ Whether you're just starting or looking to refine your data analysis and machine learning with Python in Excel, this guide has it all! 🙌 Some highlights: ✅ Certification courses 🎥 Video tutorials 👩💻 Python in Excel communities 📚 Expert guides & tools Stay ahead in the world of data and keep an eye on updates as we continue to expand this valuable resource! Check out the blog post from Anaconda, Inc.'s Tiffany McEachern here 🔗 https://lnkd.in/g8skZp_F

We love hearing from our users about how Anaconda, Inc. is bringing value to their work! 💚 How are you using Anaconda in your organization? Let us know your experiences in the comments!

Excited to announce that tonight, Anaconda, Inc.'s Rob Futrick will moderate an insightful discussion with The Ortus Club - Executive Knowledge Sharing on "Harnessing AI: The New Frontier of Empowering Customer Experiences". This event will offer valuable insights and strategies from industry professionals on how AI can be applied to transform the way organization connect with their audiences. Taking place in the beautiful city of #Seattle, we're excited to connect with local leaders in AI and technology. Many thanks to the organizers, including Elma Hasani, for setting up this event. Follow Anaconda, Inc. for more information on the future of AI in the workplace.

Ready to level up your Python in Excel skills? We’ve got you covered with a comprehensive resource guide, packed with everything from certification courses to tutorials and thriving communities! 📊✨ Whether you're just starting or looking to refine your data analysis and machine learning with Python in Excel, this guide has it all! 🙌 Some highlights: ✅ Certification courses 🎥 Video tutorials 👩💻 Python in Excel communities 📚 Expert guides & tools Stay ahead in the world of data and keep an eye on updates as we continue to expand this valuable resource! Check out the blog post from Anaconda, Inc.'s Tiffany McEachern here 🔗 https://lnkd.in/g8skZp_F

Did you hear that AI Navigator has officially graduated from beta and is now generally available? 🎉 Since July 2024, over 14,000 users have explored its powerful features, from secure access to over 200 LLMs to seamless integration with their workflows. Whether you're a data scientist, business professional, or IT expert, AI Navigator brings the power of generative AI to your desktop—while keeping your data safe and secure, all without relying on the cloud. 💻🔒 Some key features: ✅ Access to 200+ LLMs ✅ Run models locally for better security & compliance ✅ Easy-to-use interface for technical & non-technical users Special shoutout to Anaconda, Inc.'s Rongliang (Leon) Zhou for the insights in this latest blog post! 🙌 Dive deeper and see how AI Navigator can transform your AI workflows. 🌐 Check out the full post and start exploring AI Navigator today! 🔗 https://lnkd.in/gntNwze5

🐍 Comparing Python in Excel and VBA I wonder if it would be interesting to have a series of posts showing how to perform common tasks in both Python in Excel and VBA - alongside one another so we can see the differences clearly. This is not meant to say one is better than the other, but rather help people who may have familiarity with VBA and are interested in learning Python. 💡 1 - Combining two ranges from different sheets into a single array In the Python example shown, we use the xl method on the two ranges to return two 1-column DataFrames. We then combine the DataFrames using the pd.concat method, and finally convert the result into an array using .values. Notice that since Python is dynamically typed, there is never a need to explicitly define variables before using them, nor declare a type for those variables. In the VBA example we begin by declaring the variables we're going to use. An array for each of the data ranges from the two sheets and a third array for the combined data. We also declare an integer counter to facilitate looping over the two input arrays. We populate the input arrays first, then we need to ReDim the output array to ensure it's big enough to hold the data from the two input arrays. Next, we loop over the input arrays and incrementally add the elements to the output array. Finally we write the output array back to the workbook. Realistically, in both cases we wouldn't just populate arrays to combine them and write them back to another sheet, we would likely do some processing in between. But this is just an example! If you're interested in more Python and VBA comparisons, please drop a like, share and comment so I can know it's worth my time to create them! #data #analytics #excel #vba #python #pythoninexcel