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Yahoo! Query Language (YQL) is an SQL-like query language created by Yahoo! as part of their Developer Network. YQL is designed to retrieve and manipulate data from APIs through a single Web interface, thus allowing mashups that enable developers to create their own applications [1] using Yahoo! Pipes online tool.
Provides classification and regression datasets in a standardized format that are accessible through a Python API. Metatext NLP: https://metatext.io/datasets web repository maintained by community, containing nearly 1000 benchmark datasets, and counting.
Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.
Yahoo Finance is a media property that is part of the Yahoo network. It provides financial news, data and commentary including stock quotes , press releases , financial reports , and original content.
The majority of financial data vendors can access data during trading sessions but with the requirement that any inquiry be in reference to historical market analysis. [10] Analysis of historical market data provides a larger snapshot of the market at the expense of timely information (time inbetween database updates).
In finance, market data is price and other related data for a financial instrument reported by a trading venue such as a stock exchange. Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities , fixed-income products, derivatives , and currencies .
LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
Yahoo! Pipes was a web application from Yahoo! that provided a graphical user interface for building data mashups that aggregate web feeds, web pages, and other services; creating Web-based apps from various sources; and publishing those apps. The application worked by enabling users to "pipe" information from different sources and then set up ...