-
Learn foundation python programming and work on various experiments using Arduino Uno & Raspberry Pi
What you'll learn:- The aim of this course is to introduce Python to those with little or very little programming knowledge
- You will have an introduction to Computers, Programming and Internet of Things.
- We take you through the basics of Hardware and Software
- We teach you how computers store data and how a program works
- We will introduce you to advanced concepts such as functional programming, object orientation, and exception handling.
- You will be able to Rapidly prototype even complex IoT applications with Python and put them to practical use
- You will enhance your IoT skills with the most up-to-date applicability in the field of wearable tech, smart environments, and home automation
- You will interact with hardware, sensors, and actuators and control your DIY IoT projects through Python
Learn Python, the language for IoT
How great would it be to write your own computer program? Or, design a web or desktop application that millions of people could enjoy? Both are a possibility if you learn how to code in Python. Python is the very versatile, object-oriented programming language used by startups and tech giants, Google, Facebook, Dropbox, and IBM. Python is also recommended for aspiring young developers who are interested in pursuing careers in Security, Networking, and Internet-of-Things.
Raspberry Pi development comes in many flavors, but Python is common and powerful. In this project-based course, learn how to work with this highly readable language—along with a Raspberry Pi board—to build a secure ecosystem of interconnected IoT devices. We will be reviewing the basics of IoT smart devices, as well as several important IoT communication models.
You will work on 4 Development kits as part of this Hands-on IoT with Python course:
•Live Weather monitoring
•Motion detection in a room and image capture
•Tank alarm using Water level detection sensor
•Smart trashcan
What you’ll learn:
Problem-solve using an algorithmic approach.
Understand programmer's work in the software development process.
Gain knowledge on how a program is executed in a computer environment
Hardware considerations
IoT communication protocols
Internet security and cryptography
Designing the project architecture
Integrating sensors with Raspberry Pi
Overview
