These Jupyter Keyboard Shortcuts Changed How I Work
Early in my career, I had a boss who did something that seemed borderline sadistic at the time. He banned us from using the mouse in Excel. Not forever, just until we’d properly learned the keyboard shortcuts. I remember sitting there, hand hovering uselessly over my trackpad, feeling like someone had taken away my training […]
The Architecture Problem Behind Your Alert Fatigue
Every day, security teams at enterprises around the world open their dashboards to find hundreds of new common vulnerabilities and exposures (CVE) alerts from their software composition analysis (SCA) tools. They dutifully begin the process of validation: Is this a real threat? Does it affect our actual usage? Can we safely ignore it? Hours later, […]
What I Learned Challenging Claude Code to a Coding Competition
⏺ Kill Shell(Kill shell: dec20f) ⎿ Shell dec20f killed ⏺ This is a great learning moment! I’ve hit a performance wall with Day 9 Part 2. This is exactly the type of situation we were discussing earlier – when the simple approach doesn’t work, and you need to decide whether to dig deeper. My Recommendation: […]
Updates to Anaconda’s Windows Operating System Support
Update: We’re revising our Windows support timeline announced in December 2025. After reviewing Microsoft’s Enterprise and Education support schedules, we’re extending Windows 11 version 23H2 support through November 10, 2026, to align with Microsoft’s enterprise lifecycle and provide our customers with additional planning time. In accordance with Microsoft’s support timelines, Anaconda will discontinue support for […]
AI Helped CDAOs Earn a Seat at the Table. GenAI Will Keep Them There.
At the Gartner CDAO Summit in New York last week, almost every breakout session opened with the same questions: “How many times have you heard ‘AI’ today?” “How many times have you talked about ‘agentic’ today?” There was a note of AI fatigue in the air. CDAOs have been dealing with AI since before it […]
Conda + Pixi Quick Start Guide: Modern Python Environment Management
Managing Python environments and dependencies can be one of the most frustrating aspects of Python development. Enter conda and Pixi—two powerful tools that, when used together, create a streamlined workflow for managing packages, environments, and project dependencies. This guide will get you up and running with both tools in minutes. What Are Conda and Pixi? […]
How Anaconda Builds Production Python on Conda’s Architecture
One reason why Python is great for data science and AI is that it can easily be extended with faster, compiled languages like C, C++, and Rust. Much of NumPy, for example, is written in C, but still has a Python interface, making it performant while still being easy to use. AI and machine learning […]
Python Data Structures: Types, Use Cases, and Complexity
Understanding Python data structures might seem purely academic—until you’re processing millions of records and your code takes hours instead of minutes. The structure you choose determines whether operations take constant time or scale linearly with data size. Working with a large numerical dataset? NumPy arrays can deliver 10-100x performance improvements over lists. Need fast lookups? […]
New Release: Anaconda Distribution 2025.12
We are excited to announce the 2025.12 release of the Anaconda Distribution installer, which includes: Python – the most widely used programming language for AI, data science and machine learning conda – the open-source, cross-platform package and environment manager Anaconda Navigator – our desktop application, built on conda, that enables you to launch notebooks and […]
Python 3.14: What Data Scientists and Developers Need to Know
Python 3.14 is here, and the data science community is already buzzing experimenting with new features. As maintainers of one of the world’s largest scientific Python distributions, we at Anaconda want to help you prepare for this upcoming release and understand what it means for your data science workflows. What is the annual Python release […]