Recursive Learning
At first, I just want to learn SQL Server / T-SQL, which I hope can replace MySQL.
Then, I was attracted by Azure.
And I was trying to deploy Nodejs application on Azure.
Later on, I noticed that I can create Web API on Azure.
And I found that Web API can also be created by new ASP.NET Core 1.0 (like Nodejs, it is cross-platform).
With the Asp.NET Core 1.0, there is Entity Framework Core 1.0 as well, I am jumping into Entity Framework.
Material I have collected:
1) Create Node.js API using Swaggerize-express and Yo tool
2) Open API Specification
https://github.com/OAI/OpenAPI-Specification/wiki
3) Swaggerize-express on github
https://github.com/krakenjs/swaggerize-express
4) NPM generator-swaggerize
https://www.npmjs.com/package/generator-swaggerize
5) ASP.NET Core 1: Build your first web API with MVC 6
https://docs.asp.net/en/latest/tutorials/first-web-api.html
6) ASP.NET Core 1: Get started with Entity Framework 7
http://docs.efproject.net/en/latest/platforms/aspnetcore/getting-started.html
7) Introduce to ASP.NET vNext (ASP.NET Core 1)
https://github.com/aspnet/Home/wiki
8) Getting start with API app and ASP.NET on Azure
https://azure.microsoft.com/en-us/documentation/articles/app-service-api-dotnet-get-started/
9) Cross-platform single page application with Asp.NET 5, Angular 2, TypeScript
http://chsakell.com/2016/01/01/cross-platform-single-page-applications-with-asp-net-5-angular-2-typescript/
是为之记。
Alva Chien
2016.4.7
Recursive Learning的更多相关文章
- 论文翻译:2020_A Recursive Network with Dynamic Attention for Monaural Speech Enhancement
论文地址:基于动态注意的递归网络单耳语音增强 论文代码:https://github.com/Andong-Li-speech/DARCN 引用格式:Li, A., Zheng, C., Fan, C ...
- A Statistical View of Deep Learning (I): Recursive GLMs
A Statistical View of Deep Learning (I): Recursive GLMs Deep learningand the use of deep neural netw ...
- learning scala Function Recursive Tail Call
可以使用scala库,可以从字面上看出是在调用 递归函数: code import scala.util.control.TailCalls._ val arrayDonuts: Array[Stri ...
- paper 124:【转载】无监督特征学习——Unsupervised feature learning and deep learning
来源:http://blog.csdn.net/abcjennifer/article/details/7804962 无监督学习近年来很热,先后应用于computer vision, audio c ...
- A Brief Review of Supervised Learning
There are a number of algorithms that are typically used for system identification, adaptive control ...
- (转) Deep Learning Resources
转自:http://www.jeremydjacksonphd.com/category/deep-learning/ Deep Learning Resources Posted on May 13 ...
- (转) Awesome - Most Cited Deep Learning Papers
转自:https://github.com/terryum/awesome-deep-learning-papers Awesome - Most Cited Deep Learning Papers ...
- (转) Awesome Deep Learning
Awesome Deep Learning Table of Contents Free Online Books Courses Videos and Lectures Papers Tutori ...
- Kernel Functions for Machine Learning Applications
In recent years, Kernel methods have received major attention, particularly due to the increased pop ...
随机推荐
- 超实用的mysql分库分表策略,轻松解决亿级数据问题
一.分库分表的背景 在数据爆炸的年代,单表数据达到千万级别,甚至过亿的量,都是很常见的情景.这时候再对数据库进行操作就是非常吃力的事情了,select个半天都出不来数据,这时候业务已经难以维系.不得已 ...
- Jenkins介绍
持续集成: 持续集成是一种软件开发实践,即团队开发成员经常集成他们的工作,通过每个成员每天至少集成一次,也就意味着每天可能会发生多次集成.每次集成都通过自动化的构建(包括编译,发布,自动化测试)来验证 ...
- CentOS 7.7版本中NAT上网问题
一.NAT(地址转换模式)概念 如果你的网络ip资源紧缺,但是你又希望你的虚拟机能够联网,这时候NAT模式是最好的选择.NAT模式借助虚拟NAT设备和虚拟DHCP服务器,使得虚拟机可以联网. 二.具体 ...
- 后台模板引擎ejs与前台模板引擎artTemplate的简单介绍
动态网页是指前端页面当中的数据内容来源于后台数据库,前端的html代码会随着后台数据的变化而变化,是动态生成的.制作动态网页有两种方式,一种方式是在后台拿到前端的html模板,利用后台模板引擎(如ej ...
- MySQL常用sql语句-----数据库操作
在数据库操作中,操作基本都是围绕增删改查来操作.简称CRUD C创建创建 R读取/检索查询 U Update修改 D删除删除 在数操作数据库时,所有的数据库语句都要以分号结束 数据库操作不区分大小写 ...
- python- = 与 ==的区别
一个等号代表的含义是赋值,将某一数值赋给某个变量,比如a=3,将3这个数值赋予给a. 两个等号是判断是否相等,返回True或False,比如1==1.他们是相等的,那么就返回true.1==2,他们是 ...
- WebShell代码分析溯源(一)
WebShell代码分析溯源(一) 一.一句话变形马样本 <?php $_GET['POST']($_POST['GET']);?> 二.代码分析 1.调整代码格式 <?php $_ ...
- 算法<初级> - 第二章 队列、栈、哈希表相关问题
算法 - 第二章 数据结构 题目一 用数组实现大小固定的队列和栈(一面题) 数组实现大小固定栈 /*** * size是对头索引(initSize是固定大小) 也是当前栈大小 * size=下个进队i ...
- Visual Studio Code 添加C/C++编译功能
VS Code作为一个文本/代码编辑器,相较于VS比较轻量化,而且可以支持C/C++.Python等多种语言,并具有丰富的拓展模块. 但是作为一个编辑器,在VS Code上安装C/C++模块之后,并不 ...
- Flink 从 0 到 1 学习 —— Flink Data transformation(转换)
toc: true title: Flink 从 0 到 1 学习 -- Flink Data transformation(转换) date: 2018-11-04 tags: Flink 大数据 ...