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Deep Past Challenge: Lessons from Kaggle’s Akkadian-to-English Translation Competition

How top teams translated 4000 years-old Assyrian tablets into modern English, and what the competition revealed about data engineering under low-resource, noisy conditions.

Jovyan 1.13: Broader built-in methodology, sharper focus.

Introducing built-in data science and machine learning skills, plus a to-do list that keeps Jovyan focused and reliable on long, complex tasks.

Jovyan 1.12: resilient workflows, better tasks completions UX, clearer notebook diffs

Orchestrated workflows are powerful, but only if you can trust them. Jovyan 1.12 makes multi-step tasks resilient to VS Code restarts, adds an explicit approval checkpoint before a task is considered

Survival guide to data cleaning

In the previous article, we have discussed data cleaning from first principles. This article develops best practices to make the data cleaning more efficient and less tedious.

Jovyan 1.11: Python Interactive Windows and Smart Interruption

We are releasing Jovyan 1.11 today. This update isn’t about adding more generative power; it’s about fixing the friction between how AI agents typically work and how data scientists actually work.

Data Cleaning in data science context

Many data scientists suffer from data cleaning, but few truly understand why. In this article we discuss data cleaning from 1st principles and debunk common misconceptions. (10 min read)

Jovyan 1.10 - A dedicated Data Cleaning agent, smarter agent handoffs, and smoother daily workflows

This release added new specialized agent for data cleaning tasks, while improving collaboration between different agents.

Meet Jovyan: AI agents that supercharge data science

Data science teams spent 80% of their time in manual, repetitive “glue work”. Jovyan AI exists to give that time back so teams can ship more impactful works, faster.