Numerically Speaking
Welcome to your monthly source for Python, data science, and AI updates. This month: Our CEO’s predictions for 2026, our field CTO’s AI coding experiment, and our newest feature, audit logs.
Featured This Month
CEO Predictions: What's Next for AI in 2026
Is the industry measuring AI ROI all wrong? Will Python remain the dominant language for AI? CEO David DeSanto shares three bold predictions for 2026 including why efficiency metrics alone won’t cut it, which AI companies will survive the coming shakeout, and how to prepare for an evolving infrastructure landscape.
Steve Croce vs. Claude Code: A Coding Competition
Field CTO Steve Croce chronicles his experiment racing Claude Code through Advent of Code puzzles, revealing when AI coding tools excel, where they fail, and the hidden cost of AI-first development. After watching Claude solve in 90 seconds what took him an hour, he discovers AI isn’t eroding his skills but it might be eroding the community. Includes a practical framework for when to use AI versus going solo.
Anaconda Wrapped 2025
We’re looking back fondly on 2025 with our Anaconda Wrapped! See what shaped our community and AI innovation this year! From the packages you downloaded most to the tools that powered your AI experiments. It’s a glimpse into how far Python has come, who joined the journey, and what we created along the way. See the story you helped shape.
Technical Deep Dives
How Anaconda Builds Production Python on Conda
Data science and AI software come with complex dependencies that can be challenging to manage. This deep dive explains how conda provides the architecture to handle these challenges and how Anaconda adds the professional management layer with coordinated distribution, vulnerability management, supply chain protection, and embedded governance.
Customer Stories
How a Major Bank Scaled Python Development to 300+ Modelers
A European financial institution was losing business to competitors with faster lending decisions. Legacy 1980s statistical software couldn’t deliver quickly enough for small enterprises. Discover how the Anaconda Platform enabled 300+ modelers to transform from isolated analysts to collaborative engineering teams, reducing model development cycles while maintaining zero-tolerance security standards and complete regulatory audit trails.
Platform & Product Updates
Audit Logs for Cloud Core Deployment
The cloud deployment of Core in the Anaconda Platform now offers Audit Logs for platform administrators: providing immutable, compliance-ready audit trails of all administrative and user actions. Access your audit logs by logging into the Anaconda Platform, navigating to your Organization Profile, and selecting the Audit Logs tab on the left-hand side.
Personalized Unified Search
Anaconda unified search now adapts to you. Pulling packages, docs, and community forum results in one place, it automatically prioritizes what matters for your role and workflow when you’re signed in: your recent work, private collections, and team-shared resources. Same search interface, but with context-aware ranking.
Resources
AI Agents in Action, Second Edition
Get early access to the first four chapters of AI Agents in Action, Second Edition, the comprehensive guide to building intelligent workflows with LLMs, MCP, A2A, and more. Published by Manning and sponsored by Anaconda, this book includes hands-on examples, proven architectures, and practical techniques for building autonomous agent systems.
Author Micheal Lanham shares his experience building and productizing enterprise agent applications, delivering the patterns and practices you need to move from prototype to production.
Webinars & Events
Financial Services Webinar: Driving Innovation with Python
Watch the recording to learn how CIBC’s John Wengler used Python and Anaconda to automate workflows while meeting strict compliance requirements. Get practical strategies for balancing innovation with risk management.
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