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Raspberry Pi Full Stack

Name: Raspberry Pi Full Stack
Rating: 4.7 (1547 reviews)

A whirlwind tour of full-stack web application development on the Raspberry Pi

Created byDr. Peter Dalmaris

Last updated 6/2023

English

English [Auto],Italian [Auto],

What you'll learn

Setup the minimal Raspbian Lite operating system to the RPi.
Learn how to work in headless mode
Learn to install and use 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
Setup systemd to automatically start your application
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
Assign a static IP address to your Raspberry Pi
Expose your application to the Internet, and access it from anywhere

Course content

15 sections • 102 lectures • 11h 27m total length

0010 - What is this course about11:40
0030 - Parts you will need4:50
0060 - Code repository4:16
0070 – Course update briefing10:33
Follow a disciplined, minimal-effort update path for the Raspberry Pi full stack, upgrading Raspberry Pi OS and Python 3.8.13 compatible components via apt, testing cloud APIs, backups, and trackers.

0110 - Raspberry Pi 3 specs and features3:28
0111 - Raspberry Pi 4 specs and features7:44
0120 - Raspberry Pi models9:17
0130a - Raspberry Pi vs Arduino high level comparison12:35
Compare Raspberry Pi and Arduino, highlighting Raspberry Pi as a full computer with Linux, Wi-Fi, and 1 GHz CPU, versus Arduino's low-power microcontroller with limited RAM.
0130b - Raspberry Pi vs Arduino comparing the boards5:32
Compare the Raspberry Pi and Arduino hardware, highlighting size, connectors, GPIO usage, display and camera options, shield compatibility, breadboard connections, and safety considerations for handling static and damage.

0160 - Operating systems for the Raspberry Pi8:40
Explore how the Raspberry Pi operating system enables hardware access, and compare desktop, newbies, and lite versions to build a minimal web application stack.
0165 - Headless vs GUI6:54
Read this before you install the Raspberry Pi OS (in the next lecture)1:07
0170 - Download and Install Raspbian Lite6:05
Download the raspbian lite image from Raspberry Pi dot org downloads, flash it to 16 gb sd card using a cross-platform app, and enable SSH and wifi for headless access.
0180 - How to enable SSH and configure Wifi in headless mode5:45
0190a - Boot for the first time and basic configuration2:33
0190b - Connect for the first time using Mac OS7:15
0190c - Boot for the first time and connection using Windows2:32
Use windows tools to detect your raspberry pi's IP address with a scanner. Connect via SSH using putty, log in as pi with the default password raspberry.
0210a - Working as the "root" user4:38
0210b - How to enable the "root" user for logging on with SSH5:18

0250 - The Rapsberry Pi GPIO header and numbering system10:22
0260a - A taste of Python on the Command Line Interpreter10:45
Demonstrates Python on the command line with Python 3, teaching basics like variables, strings, arithmetic, printing, and string operations on the Raspberry Pi full stack project.
0260b - A taste of Python on the Command Line Interpreter Functions8:30
0270a - A taste of Python with a simple program14:37
Learn to write and run a Python program in Raspberry Pi's vim editor, including installing vim, switching modes, editing, saving, and executing scripts with command line arguments.
0280 - Wire a simple circuit8:38
0290a - Install the Python installer program pip2:08
0290b - Manipulate an LED using rpi.gpio5:12
0300 - Read a button4:50
0305 - Control an LED with a button1:33
Please read before you continue: DHT22 library update0:39
0310a - Install Git and the DHT library5:10
Learn to install Git on Raspberry Pi, clone the DHT Python library repository, configure global user details, and run the library setup with Python 3, addressing permission errors.
0310b - Use the DHT22 sensor5:13
Learn to use the DHT22 sensor on a Raspberry Pi with Python 3, wiring to GPIO 17, reading temperature and humidity, and printing formatted results.

0340 - The Web Application Stack9:08
0350 - The Python Virtual Environment6:21
0360a - Set up system Python - preparation3:56
0360b - Download, compile and install Python 310:21
0365 - Setup the app Python Virtual Environment8:17
Set up the Raspberry Pi web app infrastructure by creating a /var/web directory, building a Python 3.6.4 virtual environment in the lab app folder, and activating it.
0430a - Setup Nginx2:22
0430b - Setup Flask3:04
0435 - A tour of a simple Flask app12:23
0440a - uWSGI installation1:52
Install uWSGI within a Python virtual environment, verify the executable, and configure nginx (engine X) to forward Flask requests to uWSGI for serving the application.
0440b - Nginx configuration5:23
Create a dedicated nginx configuration file for the flask app, replace the default, set port 80 and static file paths, configure the socket, link to sites-enabled, and restart nginx.
0440c - USWGI configuration4:15
0440d - USWGI and Nginx configuration testing2:28
Test and configure a uWSGI and nginx setup for a Flask app on the Raspberry Pi, verify port 80 access, back up the setup, and enable automatic restart with systemd.

0450 - Configure systemd to auto-start uwsgi7:59
0460a - Install SQlite31:46
Install sqlite3 as part of the web application stack to store humidity and temperature data for a census, enabling retrieval, charts, and data uploads via a system-wide database.
0460b - Working with SQlite36:05
0470a - Static assets and the Skeleton boilerplate CSS2:15
0470b - Setup the static assets directory3:40
Create a static assets directory for the lab's engine X web server, with subdirectories synapsis and images, and add a static file copied from the courses get help directory.
0470c - Introducing the Skeleton boilerplate CSS2:52
Explore the skeleton css boilerplate to quickly style a responsive website with columns, headings, buttons, and form patterns, and copy its two css files to a Raspberry Pi.
0470d - Copying files using SFTP6:56
Learn to securely copy files to a Raspberry Pi using sftp GUI clients, connect via IP and root, and drag-and-drop to update directories with css and google fonts.
0480 - Flask templates7:26
0497 - Debugging a Flask app7:58

0500a - Introduction to the section - Getting started with our web application1:26
0500b - Install the DHT library and the rpi-gpio module2:35
Install the DHT library and rpi-gpio module by cloning the GitHub repository, installing in a Python virtual environment, and running the example to verify the DHT sensor on GPIO 17.
0500c - Install the DHT library and the rpi-gpio module10:22
Build a Raspberry Pi full stack app that reads humidity and temperature from a DHT sensor, serves data via a lab temp route, and uses template files for display.
0510 - Create a database to store sensor data7:56
0520 - Sensor data capture script6:49
Develop a Python script using sqlite3 to read humidity and temperature from a dht sensor on Raspberry Pi, log readings, record -999 when invalid, and schedule runs every 10 minutes.
0530 - Schedule sensor readings with cron9:04
0540a - Display database records in the browser - Python script5:36
Add a new route and template to display database records in the browser, showing temperatures and humidity readings in clean tables pulled from the database.
0540b - Display database records in the browser - Template6:39
Learn to render database records in the browser using a template by looping over Python data, and enable client-side date range filtering with JavaScript.

0560a - Introduction - Implement the datetime range selection feature3:09
0560b - Select range of records in SQLite6:16
0570 - Set datetime range in URL and show records in browser14:42
0580 - URL querystring validation6:48
0590 - Quick tidying up10:19
tidy up the application by refactoring into a get_records function that returns temperatures, humidities, and from and to date strings for the template. prepare the app for maintainable growth.
0595 - Adding radio buttons for quick timedate range selection9:33
0597 - Provision the Python script to work with the radio buttons10:38

0610a - Introduction to Google Charts5:05
0610b - Implementation of Google Charts10:57
0610c - Testing Google Charts2:15
0650a - Introduction to the datetime picker widget5:32
Install and integrate a date time picker widget to select start and end date times for temperature and humidity data, using jquery ui with a two-field form.
0650b - Implement the datetime picker widget6:19
0650c - Upload and test the datetime picker widget2:55

Requirements

A Raspberry Pi 4, 3, 2, model B
A Windows, Mac or Linux computer
A DHT22 sensor
An 5mm LED
A pushbutton
A breadboard and jumper wires
Access to the Internet
(Check hardware requirements in a free lecture in the first section of the course)

Description

Course last updated in August 2022

We updated this course to be fully compatible with Raspberry Pi OS version 11 ("Bullseye"), Python 3.8.13, and updated software modules across the entire stack.

In designing this update, we chose to use the latest available software modules without breaking any part of the application or requiring modifications.

Please watch the application briefing video (one of the free lectures in this page) for more details.

What is this course about?

Welcome to Raspberry Pi: Full Stack, a hands-on project designed to teach you how to build an Internet-of-Things application based on the world’s most popular embedded computer.

This is an updated and improved remake of the original Raspberry Pi Full Stack. In this new course, I have updated all of the technologies involved in the current state of the Art, and have also added new content.

This course will expose you to the full process of developing a web application.

You will integrate LEDs, buttons and sensors with Javascript, HTML, web servers, database servers, routers and schedulers.

You will understand why the Raspberry Pi is such a versatile tinkering platform by experiencing first hand how well it combines:

open hardware, that includes wireless and wired networking and the ability to connect sensors and actuators,
the powerful Linux/Debian operating system, which gives you access to high-level programming languages and desktop-level software applications
and, the flexibility of open source development software which, literally, powers the cloud applications that you use every day

As you progress through the sections, you will learn how to complete a single step of the application development process.

You’ll start with the operating system, add Python and play with some common hardware. Then you'll set up the web application stack, and the application itself.

You will learn and add new features and refinements as you move through the lectures.

This course is perfect for people that have at least basic understanding of computers and electronics.

Ideally, you have experience in experimenting with the Arduino and are comfortable with the breadboard and simple components.

This course contains a substantial amount of programming. For this, you will need to be comfortable working with a text editor. Any prior knowledge of Python, Javascript or other high-level programming language will be beneficial, although it is not strictly necessary.

There are no requirements necessary to enrol; I only ask you to be ready to learn and willing to put the required time and effort.

Please don't forget to watch the free lectures in the first section of the course. These lectures will give you detailed information on the course content and the hardware you will need.

Looking forward to learning with you!

Who this course is for:

Makers who want to experience the full process of web application development
Any experience in programming with a high-level language is useful but not necessary
Experience with small breadboard circuit is useful but not necessary
Anyone who want experience working with modern web application development technologies

Raspberry Pi Full Stack

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 31min

Get to know your Raspberry Pi5 lectures • 39min

Getting Started10 lectures • 51min

How to recover from a serious glitch by backing up and restoring your SD card4 lectures • 26min

Pins, GPIOs, and how to control them with Python12 lectures • 1hr 18min

Setup the Web application Stack12 lectures • 1hr 10min

Styling with Skeleton9 lectures • 47min

Getting started with our web application8 lectures • 50min

Implement the date range selection feature7 lectures • 1hr 1min

Improving the user interface with Google Charts and datetime selector6 lectures • 33min

Requirements

Description

Who this course is for: