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  2. 5 days ago · Welcome to the MediaWiki autogenerated documentation system. If you are looking to use, install or configure your wiki, see the main site: https://www.mediawiki.org/. ...

  3. 4 days ago · This means that the edge lists need to fit in memory, but the uncompressed vectors do not, which gives us enough headroom to index Wikipedia-en on a laptop. Requirements. Linux or MacOS. It will not work on Windows because ChronicleMap, which we are going to use for the non-vector data, is limited to a 4GB size there.

  4. 4 days ago · m_Pageviews: Get number of views of a Wikipedia article; m_reqMediaWiki: Retrieve responses using the MediaWiki API. m_XtoolsInfo: Gets various information from a Wikimedia page; nametoWikiFrame: Convert names into a Wikipedia's iframe; nametoWikiHtml: Create the Wikipedia link of a name or entry. nametoWikiURL: Create the Wikipedia URL of a ...

  5. 3 days ago · A unified API acts as an abstraction layer or an API aggregator, pulling information from all these applications and systems and presenting them in a secure, standardized way. Companies only need to build one integration—to the API provider—to connect to dozens or hundreds of outside systems. The provider handles the complexity of varying ...

  6. 2 days ago · The Essential Guide to Understanding Every API Type. APIs, or application programming interfaces, allow different software systems to communicate. But different types of APIs exist. Each type serves a different purpose. And each type has its own pros, cons, and use cases. This article breaks down the main API categories—open, partner ...

  7. 5 days ago · A real-life example of a database API can be seen with Firebase, a mobile web application platform owned by Google. The platform lets developers efficiently sync and store data in real-time. Operating Systems APIs: The Windows API and the Linux Kernel User-Space API are two real-world examples of operating systems APIs. Remote APIs: These types ...

  8. 4 days ago · Let's start by creating a simple API that allows users to perform CRUD operations on a list of items. Step 1: Import FastAPI and Create an Instance. from fastapi import FastAPI. app = FastAPI() Step 2: Define a Pydantic Model for Your Data. from pydantic import BaseModel. class Item(BaseModel): name: str.

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