This could be particularly useful in organizations where APIs are managed in a federated way, but you still want to be able to easily find APIs across a set of hosts.įor now this is a draft and will be discussed in the IETF "Building Blocks for HTTP APIs" working group. This would mean that just by knowing a host name it would be possible to find a host's API catalog by constructing the catalog's URI. □ Internet draft "api-catalog: A well-known URI to help discovery of APIs". Kevin Smith of Vodafone just posted a new draft "api-catalog: A well-known URI to help discovery of APIs" that suggests making API catalogs discoverable through the. But how do you find an API catalog, portal, or marketplace? It would be great to have better signposting on the API web! How do you find an #API? Oftentimes in a catalog, portal, or marketplace. □ YouTube: Getting APIs to Work - #api #apis #apimanagement #gettingapistowork #ai #generativeai #llm #chatgpt #apieconomy #apistrategy #dx #productdesign #productdevelopment #developerexperience #dx OpenAPI Initiative Next up for me is to talk with Blobr's Alexandre Airvault about cool new things he just showed me at apidays New York! Subscribe to my channel to catch the upcoming video with Alex! This space is going to evolve at a speed that will make the usual IT speed look glacial. How should you scope services and resources so that they are most useful when consumed by an AI? How do you enrich an API description so that it's as useful as possible for an AI? Should we start thinking about how to tweak #OpenAPI so that it becomes AI-friendly? Twitterrific is another high-rated premium Twitter client compatible with iOS. How do you design an API when your consumer is an AI? It feels like this could radically change the way we look at #DX. Inner Circle feature creates a favorite users list and saves you the. This will change many things we are discussing in the API community. I am not sure what a good word for this is, and at a very high level it is still "integration", but it feels sufficiently different to maybe warrant a new term? Instead, get ready for a world where AI services will integrate APIs in a very different way: They consume the service's description, understand how and when to use it, and then use it when necessary. That integration looks very different from your parents' integration where things were hand-coded (or low/no-code integrated) into predefined processes. So we have to learn how to "integrate" services into AI-based services. Either they will tap directly into something like OpenAI's services, or they will use services that are layered on top of them.īut neither OpenAI nor enriched services necessarily can do everything that somebody wants to do. It was the first desktop client, the first mobile client, one of the very first apps in the App Store, an Apple Design award winner, and it even helped redefine the word 'tweet' in the dictionary. Since 2007, Twitterrific helped define the shape of the Twitter experience. After all, almost everybody will consume AI services as a service. Twitterrific has gone to the Great Birdhouse in the Sky. One angle I think is missing from many AI discussions is a bigger focus on APIs. □ "What every CEO should know about generative AI". But does it really tell you everything that you should be thinking about? It probably makes sense to update the documentation to clarify exactly which data types are and aren’t supported for editing with each release.This McKinsey & Company article does a good job of telling the history, the basics, and the applications of #AI. However, I think that means that you can pass lists and tuples as the base for populating the data editor, rather than editing such elements within a column of a dataframe. Most types are returned in their original format. Let your users edit lists, tuples, sets, dictionaries, NumPy arrays, or Snowpark and PySpark dataframes. You may need to convert your lists to strings to edit them with the current data editor and do some extra manipulations to handle that.Īs an example, I cannot edit columns ‘A’ and ‘B’ in this case: import streamlit as st Hence, I’m not sure where their thoughts are on such a thing. Editing a list inside a cell of a data editor would be like nesting a data editor inside a data editor. The interesting thought is that all these cell editors are like individual widgets nested inside the data editor. I also cannot edit date entries and that is listed as a “coming soon” item.
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