Raspberry Pi: Full Stack

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7 Hours

$13.00$30.00

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58 Lessons (7h)

Introduction to the course
Introduction
About the Raspberry Pi
Components
Detailed List of Components you will need
The operating system
Section introduction
Installing mini Raspbian using Mac OS X
Installing mini Raspbian using Windows
Quiz
Section 2 conclusion
Python and GPIOs
Section introduction
Setup Python
GPIO basics
Make an LED blink
Read the status of a button
Read temperature and humidity from a digital sensor
Quiz
Section conclusion
Setup the Web application stack
Section introduction
What is the Web application stack?
Install Nginx, the Web server
Install Flask and venv
Install uWSGI
Setup Upstart
About log files
Serving static assets and Skeleton
Styling our Web application with Skeleton
Debugging a Flask application
Quiz
Section Conclusion
Building a simple Flask application on the Raspberry Pi
Section 5 introaudioProcessed
Show DHT22 sensor data in the browser
Install the SQLite3 database
Use a Python script to store sensor reading to the database
Automate sensor data logging with cron and SQLite3
Show historical sensor data in the browser
Quiz
Section Conclusion
Improving our application with date-time range record selector
Section 6 introaudioProcessed
Selecting historical sensor data records with a time-date range
Define a date-time range in the URL
Timezones in Rasbian
Validating timestamps
Tidying up: refactor our application code
Quiz
Section Conclusion
Improving the user interface
Section 7 introaudioProcessed
Adding date range radio buttons
Visualise sensor data with Google Charts
Install a datetime picker widgets
Setting up the datetime picker widget
Setting up time zones on the client side
Setting up time zones on the server side
Link the two pages of the application
Quiz
Conclusion
Setup cloud charting and analysis with Plotly
Section 8 introaudioProcessed
Setup Plotly
Add Plotly links
Add Plotly support to the Flask application script
Section Conclusion
Other useful things to know
Install and configure a Wifi USB dongle for wireless networking

DescriptionInstructorImportant DetailsRelated Products

Discover the Web Development Capabilities of Raspberry Pi

Peter Dalmaris

Instructor

Peter Dalmaris is Chief Explorer at Tech Explorations. He is fascinated by technology because of its ability to make amazing things happen, and science because of its ability to make nature transparent. He is an Electrical and Computer Engineer, has a PhD (most of which was spent reading philosophy of knowledge) and a couple of Masters in Information Systems. He has been a lecturer for over 13 years in a variety of IT (and occasionally management) subjects. During this time, he has developed a hands-on teaching style, whereby he invites and challenges his students to learn by doing. He has taught thousands of students in dozens of undergraduate and postgraduate courses.

Peter is also a software developer at Futureshock Enterprises, making applications using Ruby, Ruby on Rails, and iOS. Peter has been an electronics enthusiast since he remembers himself when he wrecked his sister's digital watch and his parents VCR. He replaced the watch but managed to fix the VCR. Now, he is particularly fascinated by the rapid prototyping opportunities that the Arduino and similar platforms has brought about. He lives in Sydney, Australia.

For more details on this course and instructor, click here. This course is led by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

Description

Raspberry Pi is a highly capable web development CPU, and this course will teach you how to maximize its potential. By learning the various components that make up the web development stack, you'll be able to build applications and make them available to users through a web interface. This is the A to Z guide for using Raspberry Pi for the Web.

Access 58 lectures & 7 hours of content
Learn the various components of the web development stack: the operating system, hardware, application server, web server, database server, & Python programming language
Integrate Cloud services into your Raspberry Pi-powered web application
Install a Python virtual environment & use Flask, uWSGI & Nginx to design & house your application
Use the Google Chart API to create visual representations of sensor data
Add interactivity to web pages using JQuery
Analyze sensor data using Plotly

Specs

Important Details

Length of time users can access this course: lifetime
Access options: web streaming, mobile streaming
Certification of completion included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: intermediate

Requirements

Internet required
A DHT11 or DH22 sensor
5mm LED
Resistors
Breadboard and jumper wires
USB Wifi dongle, if available

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

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