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Node.js is a cross-platform, open-source JavaScript runtime environment that can run on Windows, Linux, Unix, macOS, and more. Node.js runs on the V8 JavaScript engine, and executes JavaScript code outside a web browser. Node.js lets developers use JavaScript to write command line tools and for server-side scripting.
Mocha is a JavaScript test framework for Node.js programs, featuring browser support, asynchronous testing, test coverage reports, and use of any assertion library. [ 1 ] Assertion libraries
Common logo used to represent MERN stacks. MEAN (MongoDB, Express.js, AngularJS (or Angular), and Node.js) [1] is a source-available JavaScript software stack for building dynamic web sites and web applications. [2] A variation known as MERN replaces Angular with React.js front-end, [3] [4] and another named MEVN use Vue.js as front-end.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
V8 from Google is the most used JavaScript engine. Google Chrome and the many other Chromium-based browsers use it, as do applications built with CEF, Electron, or any other framework that embeds Chromium. Other uses include the Node.js and Deno runtime systems. SpiderMonkey is developed by Mozilla for use in Firefox and its forks.
A software static analysis toolset for a variety of languages. Used primarily for safety critical applications in Nuclear and Aerospace industries. Moose: 2021-01-21 (7.0.3) Yes; MIT — C, C++ Java — .NET — Smalltalk Moose started as a software analysis platform with many tools to manipulate, assess or visualize software.
In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology.Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging.
The Classification Tree Method is a method for test design, [1] as it is used in different areas of software development. [2] It was developed by Grimm and Grochtmann in 1993. [3] Classification Trees in terms of the Classification Tree Method must not be confused with decision trees. The classification tree method consists of two major steps ...