Merci beaucoup @aicampai for a great meetup in Paris this week with our own Jean-Dominique Mercury talking about Agentic Data Science in Action.

Three small Zerve features that quietly make your work faster and smoother. https://t.co/ExE34z2Tzd #datascience

Notebooks helped data science grow but still cause headaches. @gvmzerve and @joelgrus discuss what’s broken and how to fix it. Read our recap + video: https://t.co/o5TfH14VZ0 #datascience

Zerve x Joel Grus: The Notebook Reimagined for AI-First Teams

Happening in 30 minutes with @gvmzerve and @joelgrus!

93 percent of data scientists code. The 2025 Stack Overflow survey proves it. We broke down what that means for tools and workflows in our latest post. #datascience

@gvmzerve @joelgrus Or if you prefer to watch on linkedin, here's that link:

Notebooks were made for people, not for AI. Zerve rebuilt them for both. Our CPO @gvmzerve joins @joelgrus live on X on Oct 20 to unveil a new kind of notebook where humans and agents collaborate in real time. Save the date and tune in live.

Start Zerving. Build apps fast. Skip DevOps. Collaborate with AI agents. Earn and use compute credits to scale. https://t.co/9quXBHr1MQ

AI that understands context gives better answers. Here’s why that matters for data science:

Start Zerving now for free -

Building a time series forecast can take weeks of coding. With Zerve’s AI Agent it took hours while keeping full control. See how a data scientist used it on the Rossmann dataset: https://t.co/M4rKS6Ojrq #datascience

Other tools need huge prompts. Zerve works with less. Here we share how to get better results from an #AIagent in #datascience:

Context changes the game. Autocomplete ≠ data science. Chat ≠ execution. Without context, assistants guess. With it, you move faster from idea to impact. We broke it down in our livestream. Recap and recording:

going live now: https://t.co/PCFWrqVzpb Join us!

We're livestreaming today at 12 noon Eastern/ 9am Pacific: "The Cursor Moment for #DataScience." Join us to learn about how context is the missing ingredient in traditional #AI coding assistants, plus a live demo of Zerve’s #agentic approach. #datascientists

Fraud detection is tough when only 0.2% of transactions are fraudulent. Lead data scientist @_kreshnaa shares how he automated anomaly detection at scale. Read the blog: https://t.co/fHAXsAvbQ5 Check out the code: https://t.co/cHoD4QMf7A #datascience #anomalydetection

Now here - lazy file loading in Zerve. Only fetch the files you need at runtime instead of pulling everything. Cuts block execution time, especially on large datasets. Enable with the Lazy Loading Files flag. #DataScience #AIagent