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Raspberry Pi: Full Stack

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Raspberry Pi: Full Stack

.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 7 hours | 2.5 GB
Instructor: Peter Dalmaris
A whirlwind tour of full-stack web application development on the Raspberry Pi

The objective of this course is to take you to a whirlwind tour of the Raspberry Pi, and introduce you to everything that is great about it.

Structured as a project, you will become familiar with the various components that make up the web development stack: the operating system, the hardware (including the GPIOs), the application server, web server, database server, and the Python programming language.

You will also become familiar with Cloud services that you will integrate into your Raspberry Pi-powered web application.

You application will take sensor data and make them available to the user via a web interface that is constructed based on jQuery and HTML5.

You will need a Raspberry Pi, a DHT22 sensor, a button, an LED, a few resistors and a breadboard. If you wish to setup wireless networking on your Raspberry Pi, you will also need a USB Wifi dongle.

To make the most from this course, you should be familiar with basic programming and be comfortable with the command line.

What am I going to get from this course?
Setup the minimal Raspbian operating system to the RPi.
Install the a Python virtual environment.
Install and use Flask, a Python-based web micro-framework
Install and use uWSGI as the application server for Flask
Install and use Nginx light-weight web server
Use the RPi GPIOs as digital input and outputs
Use a DHT22 humidity and temperature sensor
Install and use the SQLite database
Use the Google Chart API to create visual representations of the sensor data
Use JQuery to add interactivity to web pages
Use Plotly for graphical analysis of sensor data
Install and configure a USB Wifi adaptor for your RPi

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  1. 本教程的目标是要带你一起进行一次树莓派的旋风之旅,为你讲授有关的所有知识。教程的内容按照作为一个项目结构而成,你将会熟悉各种组成web开发堆栈的各种组件:操作系统、硬件、应用服务器、web服务器、数据库服务器以及Python编程语言。 你还将会熟悉集成到树莓派所支持的web应用程序的云服务。你的应用程序将会采集传感器数据,通过jQuery和HTML5所支持的web接口让用户能够使用到数据。你将会学习一个树莓派、一个DHT22传感器、一个按钮、一个LED、一些电阻以及一个面包板。 主要内容:为RPi安装最小化的操作系统;安装Python虚拟环境;安装何时使用基于Python的web微型框架Flask;安装和使用uWSGI作为Flask的应用服务器;安装和使用Nginx轻量级web服务器;使用RPi GPIOs作为数字输入和输出;使用DHT22试读和温度传感器;安装和使用SQLite数据库;使用Google Chart API创建传感器数据的视觉呈现;使用jQuery添加网页互动;使用Plotly用于传感器图像化分析;安装和配置USB Wifi适配器。
    wilde(特殊组-翻译)1年前 (2016-06-04)