Designing the Internet of Things
Mcewen, Adrian; Cassimally, Hakim
Venduto da GreatBookPrices, Columbia, MD, U.S.A.
Venditore AbeBooks dal 6 aprile 2009
Usato - Brossura
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da GreatBookPrices, Columbia, MD, U.S.A.
Venditore AbeBooks dal 6 aprile 2009
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloMay show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Codice articolo 18262721-5
Take your idea from concept to production with this unique guide
Whether it's called physical computing, ubiquitous computing, or the Internet of Things, it's a hot topic in technology: how to channel your inner Steve Jobs and successfully combine hardware, embedded software, web services, electronics, and cool design to create cutting-edge devices that are fun, interactive, and practical. If you'd like to create the next must-have product, this unique book is the perfect place to start.
Both a creative and practical primer, it explores the platforms you can use to develop hardware or software, discusses design concepts that will make your products eye-catching and appealing, and shows you ways to scale up from a single prototype to mass production.
If you'd like to design for the future, Designing the Internet of Things is a great place to start.
Adrian McEwen (Liverpool, UK) is an Internet of Things expert. He co-wrote and runs the Howduino course, teaching about Arduino across the UK. Adrian is the curator of official Arduino Ethernet Library. He has prowled the rooftops of Liverpool City Centre embedding Arduino sensors into the city’s infrastructure.
Hakim Cassimally (Liverpool, UK) is an Italian and English Literature Graduate who discovered Perl and never looked back. A writer of SciFi, Hakim founded a study group for the Stanford AI distributed learning classes.
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