Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that 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. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Improving daily commute


Many cities and public transit systems have started sharing data with the public in the interest of being transparent and improving their operational efficiency. Transit systems have started sharing advisories and transit information to the public through an API. This enables anyone to develop mobile applications that provide information to commuters. At times, it helps with easing congestion within the public transit system.

This example was inspired by a friend who tracks bicycle availability in San Francisco's bike share stations. In the San Francisco Bay Area, there is a bicycle sharing program that enables commuters to rent a bike from a transit center to their work. In a crowded city like San Francisco, bike availability at a given station fluctuates depending on the time of day.

This friend wanted to plan his day based on bike availability at the nearest bike share station. If there are very few bikes left at the station, this friend preferred leaving early to...