内容简介:Build Your Beautiful Cross-Platform Application usingThese instructions will get you a copy of the project up and running on your local machine for development.Download and Install the latest version of
Electron React Boilerplate ·
Build Your Beautiful Cross-Platform Application using Electron and React .
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development.
Pre-Requirements
* GIT
Download and Install the latest version of GIT for Windows .
* NodeJS
Download and Install the stable version of NodeJS for Windows .
Cloning This Repository
- Open Command Prompt.
- Change the current working directory to the location where you want the cloned directory to be made.
- Type
git clone https://github.com/JaganGanesh/electron-react-boilerplate.git - Press Enter. Your local clone will be created .
Installing Dependencies
To install all the dependencies in package.json type the following command.
npm install
Development
npm run-script start
Build
npm run-script build
Distribution
npm run-script package
License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Contributing Code
We'd love to accept your patches ! If you have improvements, send us your pull requests!
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网
本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
数据驱动设计
[美]罗谢尔·肯(RochelleKing)、[美]伊丽莎白F.邱吉尔(Elizabeth F Churchill)、Caitlin Tan / 傅婕 / 机械工业出版社 / 2018-8 / 69.00元
本书旨在帮你了解数据引导设计的基本原则,了解数据与设计流程整合的价值,避免常见的陷阱与误区。本书重点关注定量实验与A/B测试,因为我们发现,数据分析与设计实践在此鲜有交集,但相对的潜在价值与机会缺大。本书提供了一些关于在组织中开展数据实践的观点。通过阅读这本书,你将转变你的团队的工作方式,从数据中获得大收益。后希望你可以在衡量指标的选择、佳展示方式与展示时机、测试以及设计意图增强方面,自信地表达自......一起来看看 《数据驱动设计》 这本书的介绍吧!