No, AI Isn’t Replacing Developers. Here’s What’s Actually Happening
You’ve probably seen the headlines by now. Vibe coding tools that promise “anyone can build apps now.” Tech leaders claiming they’ll need fewer developers thanks to AI. The conclusion they’re drawing is pretty clear: software development is a dying field. I don’t buy it. And more importantly, that’s not what I’m seeing in the field. […]
How to Reclaim Disk Space with Conda Clean
When was the last time you checked how much disk space conda is using? If you’re like many developers, the answer is probably “never.” Conda just works, environments spin up when you need them, and you don’t really think about what’s happening behind the scenes. Or maybe you’ve noticed your conda installation has grown larger […]
Are There Good and Bad AI Models?
As local AI model deployments become more common, model safety is rightfully called into question. Is this model safe? Is it good? Is it bad? The answer is more nuanced than you might think. Anaconda has a lot of experience here, since we’ve been building and securing open-source artifacts for years. In some ways, generative AI […]
Model Curation: Breaking the Bottleneck in Enterprise AI Deployment
The pressure is on, and the assignment is clear: Build with AI, and do it faster than your competitors. But before you can build anything, you need to answer a fundamental question: Which AI models should power your applications? This is where most enterprises hit their first roadblock. Public repositories have more than 2 million […]
Five Python Data Visualization Examples to Transform Your Enterprise Data
Python has revolutionized data visualization by providing powerful, flexible tools that transform complex data sets into compelling visual narratives. Unlike traditional approaches limited to Excel spreadsheets or proprietary software like Tableau, Python offers unparalleled control over every aspect of data visualization—from basic bar charts and line graphs to sophisticated interactive dashboards and real-time data monitoring […]
Introducing Enhanced Usage Insights for Anaconda Packages
At Anaconda, we continually strive to improve the user experience for our community and customers. To serve our community better, we’re introducing a new usage insights conda plugin for Anaconda Distribution and Miniconda. This update is designed to help us understand how Anaconda users interact with conda environments and packages, enabling us to enhance the […]
End-to-end Data Science Project with Anaconda Assistant
Anaconda has recently announced Anaconda Assistant, an AI-powered Jupyter Notebook extension in Anaconda Notebooks. Created to enhance your coding experience with Python, Anaconda Assistant offers an intuitive chat interface designed to streamline your data science projects. In this blog post, we’ll walk through the key stages of a data science project using Anaconda Assistant including […]
Changes to Anaconda’s Anonymous Usage Data Collection
Anaconda strives to continually improve the user experience for our customers and communities. We aim to be the premiere provider of secure access to thousands of Python repositories, packages, and libraries, while also supporting the open-source community that powers those packages. These dual goals are reflected in Anaconda’s products and in our open-source contributions. A […]
Anaconda’s Q2 2023 Open-Source Roundup
Substantial and impactful open-source innovation is at the heart of Anaconda’s efforts to provide tooling for developing and deploying secure Python solutions, faster. With the goal of capturing and communicating our teams’ many ongoing contributions to a wide variety of open-source projects, we are now providing regular roundups of related news items on our blog. […]
Anaconda’s Q1 2023 Open-Source Roundup
Substantial and impactful open-source innovation is at the heart of Anaconda’s efforts to provide tooling for developing and deploying secure Python solutions, faster.