Packt – Practical Python Programming for IoT: Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3 2020

Packt – Practical Python Programming For Iot Build Advanced Iot Projects Using A Raspberry Pi 4 Mqtt Restful Apis Websockets And Python 3 2020 Retail EPUB eBook-BitBook
English | Size: 26.14 MB
Category: Tutorial


Leverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement and measuring distance, light, and a host of other environmental conditions

PluralSight – Building A Raspberry Pi Kubernetes Cluster

PluralSight – Building A Raspberry Pi Kubernetes Cluster Bookware-KNiSO
English | Size: 250.00 MB
Category: Tutorial


This course will teach you how to make a Kubernetes cluster from a few Raspberry Pis, while boosting your Kubernetes skills set

Udemy – WiFi Hacking with Raspberry Pi – Black Hat Hackers Special!

WiFi Hacking with Raspberry Pi – Black Hat Hackers Special!
English | Size: 337.68 MB
Category: Tutorial


In this WiFi Hacking with Raspberry Pi – Black Hat Hackers Special! course, I will teach you how to setup raspberry pi for various type of wifi hacking technics and DIY projects which are used by black hat hackers and ethical hackers too. I designed this course in such a manner that you can easily learn from this course even if you don’t have any previous knowledge about raspberry pi or hacking.

Programming Raspberry Pi Support from Simulink

Programming Raspberry Pi Support from Simulink
English | Size: 387.37 MB
Category: Tutorial


Capabilities and Features
Simulink® Support Package for Raspberry Pi™ lets you develop algorithms that run standalone on your Raspberry Pi. The support package extends Simulink with blocks to drive Raspberry Pi digital I/O and read and write data from them. After creating your Simulink model, you can simulate it and download the completed algorithm for standalone execution on the device. One particularly useful (and unique) capability offered by Simulink is the ability to tune parameters live from your Simulink model while the algorithm runs on the hardware.