Smart Computing with Open Source Platforms

Dr. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He was an honorary visiting Scientist at Global Biomedical Technologies Inc., CA, USA and an associated Member of University of Reading, London, UK . He has authored/edited more than 40 books with Elsevier, Wiley, CRC Press and Springer etc., and published more than 300 research articles. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer tracts in nature-inspired computing, Springer Nature, Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Intelligent Signal processing and data analysis, CRC Press. He is an Associated Editor of IEEE Access. His main research interests include Medical Imaging, machine learning, data mining etc. Recently, he is awarded as one among the top 10 most published and cited academics in the field of Computer Science in India during the period of consideration 2015-17. Mr. Amartya Mukherjee, M.Tech, is an assistant professor at the Institute of Engineering and Management, Salt Lake, Kolkata, India. He holds a bachelor's degree in computer science and engineering from West Bengal University of Technology and a master's degree in computer science and engineering from the National Institute of Technology, Durgapur, West Bengal, India. His primary research interest is in embedded application development, including mobile ad hoc networking, aerial robotics, and Internet of Things and machine learning. He has written several research articles in the field of wireless networking and embedded systems. His book Embedded systems and robotics with open source tools is one of the bestselling books in the field of embedded application development.

1. Introduction to Open Source Hardware. 2. Arduino Hardware. 3. Data types, Operators and Expressions. 4. Functions in Arduino. 5. Conditional statements. 6. Arduino Input Systems. 7. Arduino Output Systems. 8. Arduino with Processing. 9. Real life Code Examples. 10. Introduction to Python language. 11. Operators, variable and expressions. 12. Decision and control flow. 13. Functions in Python. 14. More Examples on Modules and Functions with APIs. 15. Implementation of Data Structures. 16. Object Oriented Programming in Python. 17. Input and Output in Python. 18. Exception Handling in Python. 19. Graphical User Interface in Python. 20. Python API for Machine Learning and Arduino. 21. More on Machine Learning. 22. Conclusion. Frequently Asked Questions. References