Archives

Level Up Your Python Workflow with Specialized Conda Environments

You’ve mastered Python basics and now you’re ready to level up your development workflow with specialized Jupyter Lab environments and industry-specific quick start environments that match how professionals work. This guide covers custom Jupyter setups, specialized environments, and the transition from simple base environment usage to sophisticated multi-environment workflows. Why Move Beyond the Base Environment […]

From Quick Start to Production: Building Deployable Environments with Anaconda Navigator

You’ve mastered creating specialized Jupyter environments and using quick start environments for rapid development. Now it’s time to take the next step: building a complete project workflow that goes from initial development with quick start environments to creating production-ready code you can confidently share and deploy. This guide walks through a complete real-world example, showing […]

Your First Steps with Python: Creating and Managing Development Environments

Starting your Python journey should be exciting, not frustrating. If you’re completely new to programming or coming from other tools like Excel, the prospect of “setting up a development environment” can feel daunting. The good news? With Anaconda Navigator, you can go from zero to coding in just a few minutes. This guide will walk […]

Intake: Parsing Data from Filenames and Paths

Motivation Do you have data in collections of files, where information is encoded both in the contents and the file/directory names? Perhaps something like ‘{year}/{month}/{day}/{site}/measurement.csv’? This is a very common problem for which people build custom code all the time. Intake provides a systematic way to declare that information in a concise spec. What is […]

The AI Governance Paradox

Why 82% of Companies Think They’re Secure — But Aren’t Enterprise AI adoption is accelerating at breakneck speed, creating both unprecedented opportunities and hidden challenges that every technology leader should understand. New research from Anaconda surveying over 300 AI practitioners and decision-makers reveals a critical gap between perception and reality: while 82% of organizations believe they have robust […]

Committing to the Advancement of AI with Open Source

When Travis Oliphant and I started Anaconda back in 2012, we had a simple but audacious vision: to transform the world of data analysis and business computing using Python and its powerful open source ecosystem. I’m proud to say that we’ve succeeded beyond our wildest dreams, as Python is now the most popular language for […]

Intel Mac Package Support: End of an Era

As Apple completes its transition to Apple Silicon and the broader Python ecosystem evolves, Anaconda is announcing the deprecation of Intel Mac (osx-64) package builds, effective August 15, 2025. What’s Changing Starting August 15, 2025, Anaconda will stop building new packages for Intel Mac computers (osx-64). This change affects users who are currently using Intel […]

Using Anaconda without Worry: Enabling ToS compliance with the conda-anaconda-tos plugin

Accepting the ToS in continuous integration (CI) environments: If you encounter prompts in your CI environment, you can set the CONDA_PLUGINS_AUTO_ACCEPT_TOS environment variable to “yes” to accept the Terms of Service automatically and continue your builds without interruption. As one of Anaconda’s millions of users, naturally you want to know when you’re using open source with […]

Anaconda Recognized for Excellence in AI Innovation​

We’re thrilled to share that Anaconda has been named a winner in the 2025 Artificial Intelligence Excellence Awards! The Business Intelligence Group has recognized our platform in the Human-machine interaction – Product category, highlighting our commitment to innovation in the AI space. Democratizing AI Through Open Source At Anaconda, we’ve always believed that the power of AI should […]