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Getting Started with Python for the Internet of Things

You're reading from   Getting Started with Python for the Internet of Things Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

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Product type Course
Published in Feb 2019
Publisher
ISBN-13 9781838555795
Length 732 pages
Edition 1st Edition
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Concepts
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Authors (5):
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Tim Cox Tim Cox
Author Profile Icon Tim Cox
Tim Cox
Tim Cox works as a software engineer and is passionate about programming. He holds a bachelor's degree in electronics and electrical engineering and has a rich career in developing embedded software for a range of industries. To support the vision behind the Raspberry Pi and to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi). He also produces electronic kits through his site PiHardware.
Read more
See other products by Tim Cox
Prof. Diwakar Vaish Prof. Diwakar Vaish
Author Profile Icon Prof. Diwakar Vaish
Prof. Diwakar Vaish
Prof. Diwakar Vaish is a robotics scientist and the inventor of Manav (India's first indigenous humanoid robot), the world's first mind-controlled wheelchair, brain cloning, and the world's cheapest ventilator. He has also been a guest lecturer at over 13 IITs and various other institutions. He is the founder of A-SET Robotics, a leading robotics research company based in New Delhi.
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See other products by Prof. Diwakar Vaish
Sai Yamanoor Sai Yamanoor
Author Profile Icon Sai Yamanoor
Sai Yamanoor
Sai Yamanoor is an embedded systems engineer working for a private startup school in the San Francisco Bay Area, where he builds devices that help students achieve their full potential. He completed his undergraduate work in mechatronics engineering from Sri Krishna College of Engineering and Technology, Coimbatore, India and his graduate studies in mechanical engineering at Carnegie Mellon University, Pittsburgh PA. His interests, deeply rooted in DIY and open software and hardware cultures, include developing gadgets and apps that improve the quality of life, Internet of Things, crowdfunding, education, and new technologies. In his spare time, he plays with various devices and architectures, such as the Raspberry Pi, Arduino, Galileo, Android devices and others. Sai has earlier published a book titled Raspberry Pi Mechatronics Projects.
Read more
See other products by Sai Yamanoor
Steven Lawrence Fernandes Steven Lawrence Fernandes
Author Profile Icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Dr. Steven Lawrence Fernandes holds a bachelor's degree in electronics and communication engineering, a master's degree in microelectronics, and a Ph.D. in computer vision and machine learning. His Ph.D work "Match composite sketch with drone images" has received patent notification (Patent Application Number: 2983/CHE/2015). has post the doctoral research experience working in deep learning at the University of Alabama at Birmingham, USA. He received the prestigious US award from the Society for Design and Process Science for his outstanding service contributions in 2017 and Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a research grant from the Institution of Engineers.
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See other products by Steven Lawrence Fernandes
Srihari Yamanoor Srihari Yamanoor
Author Profile Icon Srihari Yamanoor
Srihari Yamanoor
Srihari Yamanoor is a mechanical engineer, working on medical devices, sustainability, and robotics in the San Francisco Bay Area. He completed his undergraduate studies in mechanical engineering from PSG College of Technology, Coimbatore, India and graduate studies in mechanical engineering at Stanford University. He is certified in SolidWorks, simulation, sustainable design, PDM as well as in quality and reliability engineering and auditing. His has a wide range of interests, from DIY, crowdfunding, AI, travelling, photography to gardening and ecology.
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Table of Contents (37) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Getting Started with a Raspberry Pi 3 Computer FREE CHAPTER 2. Dividing Text Data and Building Text Classifiers 3. Using Python for Automation and Productivity 4. Predicting Sentiments in Words 5. Detecting Edges and Contours in Images 6. Building Face Detector and Face Recognition Applications 7. Using Python to Drive Hardware 8. Sensing and Displaying Real-World Data 9. Building Neural Network Modules for Optical Character Recognition 10. Arithmetic Operations, Loops, and Blinky Lights 11. Conditional Statements, Functions, and Lists 12. Communication Interfaces 13. Data Types and Object-Oriented Programming in Python 14. File I/O and Python Utilities 15. Requests and Web Frameworks 16. Awesome Things You Could Develop Using Python 17. Robotics 101 18. Using GPIOs as Input 19. Making a Gardener Robot 20. Basics of Motors 21. Bluetooth-Controlled Robotic Car 22. Sensor Interface for Obstacle Avoidance 23. Making Your Own Area Scanner 24. Basic Switching 25. Recognizing Humans with Jarvis 26. Making Jarvis IoT Enabled 27. Giving Voice to Jarvis 28. Gesture Recognition 29. Machine Learning 30. Making a Robotic Arm 1. Other Books You May Enjoy Index

Chapter 1. Getting Started with a Raspberry Pi 3 Computer

In this chapter, we will cover the following topics:

  • Connecting peripherals to Raspberry Pi
  • Using NOOBS to set up your Raspberry Pi SD card
  • Networking and connecting your Raspberry Pi to the internet via the LAN connector
  • Using built-in Wi-Fi and Bluetooth on Raspberry Pi
  • Configuring your network manually
  • Networking directly to a laptop or computer
  • Networking and connecting your Raspberry Pi to the internet via a USB Wi-Fi dongle
  • Connecting to the internet through a proxy server
  • Connecting remotely to Raspberry Pi over the network using VNC
  • Connecting remotely to Raspberry Pi over the network using SSH (and X11 forwarding)
  • Sharing the home folder of Raspberry Pi with SMB
  • Keeping Raspberry Pi up to date
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Getting Started with Python for the Internet of Things
Published in: Feb 2019
Publisher:
ISBN-13: 9781838555795
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Authors (5)

Left arrow icon
Profile icon Tim Cox
Tim Cox
Tim Cox works as a software engineer and is passionate about programming. He holds a bachelor's degree in electronics and electrical engineering and has a rich career in developing embedded software for a range of industries. To support the vision behind the Raspberry Pi and to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi). He also produces electronic kits through his site PiHardware.
Read more
See other products by Tim Cox
Profile icon Prof. Diwakar Vaish
Prof. Diwakar Vaish
Prof. Diwakar Vaish is a robotics scientist and the inventor of Manav (India's first indigenous humanoid robot), the world's first mind-controlled wheelchair, brain cloning, and the world's cheapest ventilator. He has also been a guest lecturer at over 13 IITs and various other institutions. He is the founder of A-SET Robotics, a leading robotics research company based in New Delhi.
Read more
See other products by Prof. Diwakar Vaish
Profile icon Srihari Yamanoor
Srihari Yamanoor
Srihari Yamanoor is a mechanical engineer, working on medical devices, sustainability, and robotics in the San Francisco Bay Area. He completed his undergraduate studies in mechanical engineering from PSG College of Technology, Coimbatore, India and graduate studies in mechanical engineering at Stanford University. He is certified in SolidWorks, simulation, sustainable design, PDM as well as in quality and reliability engineering and auditing. His has a wide range of interests, from DIY, crowdfunding, AI, travelling, photography to gardening and ecology.
Read more
See other products by Srihari Yamanoor
Profile icon Sai Yamanoor
Sai Yamanoor
Sai Yamanoor is an embedded systems engineer working for a private startup school in the San Francisco Bay Area, where he builds devices that help students achieve their full potential. He completed his undergraduate work in mechatronics engineering from Sri Krishna College of Engineering and Technology, Coimbatore, India and his graduate studies in mechanical engineering at Carnegie Mellon University, Pittsburgh PA. His interests, deeply rooted in DIY and open software and hardware cultures, include developing gadgets and apps that improve the quality of life, Internet of Things, crowdfunding, education, and new technologies. In his spare time, he plays with various devices and architectures, such as the Raspberry Pi, Arduino, Galileo, Android devices and others. Sai has earlier published a book titled Raspberry Pi Mechatronics Projects.
Read more
See other products by Sai Yamanoor
Profile icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Dr. Steven Lawrence Fernandes holds a bachelor's degree in electronics and communication engineering, a master's degree in microelectronics, and a Ph.D. in computer vision and machine learning. His Ph.D work "Match composite sketch with drone images" has received patent notification (Patent Application Number: 2983/CHE/2015). has post the doctoral research experience working in deep learning at the University of Alabama at Birmingham, USA. He received the prestigious US award from the Society for Design and Process Science for his outstanding service contributions in 2017 and Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a research grant from the Institution of Engineers.
Read more
See other products by Steven Lawrence Fernandes
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