are in many cases stripped of whole classes of specific historical information (e.g., the original price of the book, its acquisition date, its original cataloguing date, its accession number, the original cataloguer’s own initials, the record of any copies that have been withdrawn, and whether it was a gift or a purchase)

Vibe drafts the deliverable using the Canvas tool, from a one-page brief to a report, an RFP response, or a board deck

Mistral Vibe extension for VS Code; the coding agent working across your whole project, inside your IDE.

That momentum is starting to extend beyond engineering. Teams are using Codex to pull together context from different tools, reason through what matters, and turn scattered information into useful work - like briefs, plans, checklists, drafts, and follow-ups.

Our professionals are using Codex to move from static requirements to working solutions in hours, not weeks. It's enabling rapid prototyping, real-time workflow redesign, and faster iteration across the development lifecycle.

Companies are using Codex across the software development lifecycle. Virgin Atlantic is using it to increase test coverage and increase team velocity - reducing technical debt and improving performance.

Empower doesn't allow you to import legacy data from other sources (like Mint) or input manual transactions such as cash. The latter isn't important to me, but the former certainly is. I have 16 years of transaction data in Mint that I want to preserve.

Drop missing values from the dataframeIn this method we can see that by using dropmissing() method, we are able to remove the rows having missing values in the data frame. Drop missing values is good for those datasets which are large enough to miss some data that will not affect the prediction and it’s not good for small datasets it may lead to underfitting the models.