This Learning Path takes you on a journey in the world of robotics and teaches you allthat you can achieve with Raspberry Pi and Python.

It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment.

By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python

Getting Started with Python for the Internet of Things by Tim Cox, Dr. Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor and Prof. Diwakar Vaish

• Build text classifiers and predict sentiment in words with the Tkinter library
• Develop human face detection and recognition systems
• Create a neural network module for optical character recognition
• Build a mobile robot using the Raspberry Pi as a controller
• Understand how interface sensors, actuators, and LED displays work
• Apply machine learning techniques to your models
• Interface your robots with Bluetooth

For an optimal student experience, we recommend the following hardware configuration:

• Processor: Intel Core i7 or equivalent, Raspberry Pi Zero
• Memory: 8 GB RAM
• Storage: 15 GB available space

You’ll also need the following software installed in advance:

• Operating system: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit, macOS High Sierra or Linux
• Browser: Google Chrome, Latest Version