内容简介:I like to showcase interesting and cool open source projects that need more attention! Go giveBlockly is a JavaScript library for building visual programming editors. If you've used languages like Scratch you've seen block-style programming environments. T
I like to showcase interesting and cool open source projects that need more attention! Go give our friend a star on GitHub ! NetCoreBlockly on GitHub is clever and fun!
Blockly is a JavaScript library for building visual programming editors. If you've used languages like Scratch you've seen block-style programming environments. The picture below shows you a demo of calling a .NET Core WebAPI using Blockly code!
Remember that once you have a WebAPI you can make it available in a number of ways. The "projection" of the methods that the WebAPI makes available can be presented visually, as Swagger/OData/GraphQL, however you like. Another project is WebAPI2CLI that lets you call WebAPI endpoints easily from a CLI (Command Line Interface) that is more high fidelity than curl or wget.
What .NET Core Blockly is doing is looking at the projection/interface of your WebAPI and generating Blockly blocks! That means that anyone (business users, student, tester, whatever) could try out your WebAPI with a simple drag and drop interface in their browser!
You can pull in Swagger, OData, or GraphQL interfaces.
- NETCore2Blockly generates Blockly blocks for each of your controller actions.
- Demo at https://netcoreblockly.herokuapp.com/ ( play with the links from the bottom)
- Demo Video at https://www.youtube.com/watch?v=GptkNWjmCzk
- Sample Project is TestBlocklyHtml from this repository
I love seeing fun projects like this that make the web (and .NET code) easier to use! Go give them some stars and get involved !
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模式识别
(希)Sergios Theodoridis、(希)Konstantinos Koutroumbas / 电子工业出版社 / 2010-2 / 75.00元
本书全面阐述了模式识别的基础理论、最新方法以及各种应用。模式识别是信息科学和人工智能的重要组成部分,主要应用领域有图像分析、光学字符识别、信道均衡、语言识别和音频分类等。本书在完美地结合当前的理论与实践的基础上,讨论了贝叶斯分类、贝叶斯网络、线性和非线性分类器设计、上下文相关分类、特征生成、特征选取技术、学习理论的基本概念以及聚类概念与算法。与前一版相比,增加了大数据集和高维数据相关的最新算法,这......一起来看看 《模式识别》 这本书的介绍吧!