Python in Excel for Marketing
For years, Excel has been the go-to tool for marketers and analysts, providing powerful capabilities for organizing data or generating reports. However, when it comes to more advanced data analysis tasks, Excel alone is not enough. Marketers often have to turn to third-party add-ins or entirely different platforms to get the job done. That can […]
Implementing Policies at the Channel Level on Package Security Manager
There are currently three primary methods for integrating packages into a channel on Package Security Manager (PSM) on prem: Creating mirrors Copying/moving packages from another channel Manual uploads However, these current methods have some limitations regarding security filtering and their ability to be replicated across multiple channels. How Package Management Works Now Most PSM […]
Python 3.8 Reaches End-Of-Life
As part of our commitment to maintaining up-to-date and secure Python environments, Anaconda is announcing the end of support for Python 3.8 in our main channel of the Anaconda Distribution. This decision aligns with the upstream CPython support cycle for Python minor versions. Key Dates End of Support Date: October 31, 2024 Last Security Fix: […]
A Comprehensive List of Python in Excel Resources
Are you new to Python in Excel or looking to take your skills to the next level? We’ve created this Resource Guide to help you make the most out of Python in Excel and take advantage of all it has to offer. From certification courses, to video tutorials, to Python in Excel communities you can […]
Python in Excel for Finance
Traditionally, finance professionals have relied heavily on Microsoft Excel as a go-to tool for tasks like financial modeling, budgeting, forecasting, and data analysis. Excel’s strength lies in its versatility and ability to handle large datasets, perform complex calculations, and create reproducible models that are easily shared across teams. Whether it’s used for managing budgets, forecasting […]
Update on Anaconda’s Terms of Service for Academia and Research
Please note this post is outdated. Our current Terms of Service policies can be reviewed here. Recently, our users at academic and research institutions have raised important questions about commercial fees in Anaconda’s Terms of Service and their applicability in educational settings. We recognize that an update to the Terms of Service in March 2024 […]
Introducing Anaconda Code add-in for Microsoft Excel
Excel and Python users can now run their Python-powered projects in Excel locally with the Anaconda Code add-in “I wish there was a way for me to run my Python in Excel locally, without having to run my calculations through Microsoft Cloud.” Since Python in Excel was introduced in August 2023, a clear piece of […]
Analyzing Olympic Game Data with Anaconda
Olympics as Charts The Olympic Games have a rich history dating back to ancient Greece, but the modern Olympics, as we know them, have evolved significantly since its beginning. With the Paris Olympics 2024 on the horizon, let’s visualize its history! Before we dive in… The dataset was downloaded from Kaggle Olympic Games Medals. The […]
Anaconda Accelerates AI Development and Deployment with NVIDIA CUDA Toolkit
We are pleased to announce that NVIDIA CUDA Toolkit 12 is now available on our main (AKA, defaults) channel, a significant update from our support for the previous version, CUDA Toolkit 11.8. CUDA serves as the software layer for NVIDIA GPUs. The CUDA Toolkit gives users a development environment for building high-performance, GPU-accelerated applications. It […]
Introducing Evaluations Driven Development: Building AI Assistants That Deliver Real Value
At Anaconda, we’ve developed a rigorous new approach to AI development called Evaluations Driven Development (EDD). By continuously testing AI models using real-world cases and user feedback, EDD enables us to create AI assistants that are reliable, relevant, and truly impactful for users. Our Anaconda Assistant, an AI coding companion for data scientists, exemplifies the […]