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An output of pip install virtualenv. Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers ...
It is a lightweight [clarify] framework that builds upon the core Spring framework. It is designed to enable the development of integration solutions typical of event-driven architectures and messaging-centric architectures [clarify]. [4]: 691–722, §16 Spring Integration is part of the Spring portfolio.
Spring Framework 4.2.0 was released on 31 July 2015 and was immediately upgraded to version 4.2.1, which was released on 01 Sept 2015. [14] It is "compatible with Java 6, 7 and 8, with a focus on core refinements and modern web capabilities". [15] Spring Framework 4.3 has been released on 10 June 2016 and was supported until 2020. [16]
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Spring Boot is a convention-over-configuration extension for the Spring Java platform intended to help minimize configuration concerns while creating Spring-based applications. [ 4 ] [ 5 ] The application can still be adjusted for specific needs, but the initial Spring Boot project provides a preconfigured "opinionated view" of the best ...
In 2005 the project was introduced into the Spring portfolio by Keith Donald and grew into the official Spring sub-project it is now. The first production ready 1.0 release was made on 2006-10-26. Version 2.0, first released on 2008-04-29, saw a major internal reorganization of the framework to allow better integration with JavaServer Faces.
Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. [11]
Placing 'dirty' money in a service company, where it is layered with legitimate income and then integrated into the flow of money, is a common form of money laundering.