Learn iOS Application Distribution (eBook, PDF) - Panosian, Hagop
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  • Format: PDF

Cover every aspect of the app industry, from app idea generation through to marketing and performance monitoring. With this book you'll receive complete, reliable, up-to-date, and professional information and guidance. Learn iOS App Distribution is every developers thorough and accessible guide to successfully distributing apps. For readers who already know how to code and create apps, this book explains how the app industry works, how it is evolving, and what the key trends are. Rather than focus on the well-covered aspects of working with Swift and Xcode, you'll instead discover what it…mehr

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Produktbeschreibung
Cover every aspect of the app industry, from app idea generation through to marketing and performance monitoring. With this book you'll receive complete, reliable, up-to-date, and professional information and guidance.
Learn iOS App Distribution is every developers thorough and accessible guide to successfully distributing apps. For readers who already know how to code and create apps, this book explains how the app industry works, how it is evolving, and what the key trends are.
Rather than focus on the well-covered aspects of working with Swift and Xcode, you'll instead discover what it takes from a commercial standpoint to bring an app together and get it successfully out to customers. All the key technical aspects are simplified for you with non-technical backgrounds, and vast amounts of information are condensed into easy-to-understand visuals.

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Autorenporträt
Educated as an architect, Hagop understands the impact new technologies have on an industry. He believes that the more advanced aspects of technologies should be made accessible to non-tech professionals. To drive his vision, Hagop made a career shift to technology education. Working with the Microsoft Innovation Center in Yerevan, he currently lectures app startups on topics such as pitching investors and managing growth. He is also currently developing Phrasier, a translation system designed to support news and content creation in multiple languages, facilitate software and app localization, and improve machine translation through a novel approach.