Creating Mobile Apps with Appcelerator Titanium

Book Description:

Smartphones and tablets have really changed the technological landscape over the last 3-4 years. Much like the web did in the last decade, these powerful tools have changed the way people communicate and access information. Such a wide market creates opportunities for developers who have the skills to develop mobile applications.
“Creating Mobile Apps with Appcelerator Titanium” is a practical, step-by-step guide to building iPhone, iPad, and Android applications using JavaScript. This book will give you a solid grounding of the dos and don’ts of mobile development and also covers a lot of the functionalities offered by the Titanium platform.
This book begins with a look at what the Titanium platform has to offer. By taking you through clear tutorials on developing each application step-by-step, it helps you to apply your newly acquired knowledge afterwards. The difficulty level gradually increases along the course of the book.
Each application from this book covers different aspects of mobile development. Every chapter starts by defining the application’s features as well as the user interface structure. Every single code section is then explained and put into context allowing you to gain a clear understanding of their purpose and functionality. The book takes a “small milestone” approach, allowing you to actually run the application and see the progression. Every step is accompanied by many screenshots so you can see the expected result on screen.
You will learn everything you need to know to develop your very own mobile applications. The book takes a laid-back approach to Titanium development and provides information in a way designed to never overwhelm the reader with information and also uses clear diagrams, screenshots, and tips throughout.
 

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PACKT, Programming Administration,

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Learning Ionic

Book Description:

With the growth of the start-up market, the time it takes to market your app ideas is crucial. Developing apps using each platform specific format is time consuming and will put you behind in the rat race. Enter the hybrid mobile space: using knowledge of web technologies, one can transform their ideas into complete apps in no time and distribute them to a wide market of people.

Apps developed using web technologies need to have a robust, testable, and scalable client side JavaScript framework. This is where a beautiful CSS framework named Ionic meets AngularJS to provide an elegant, robust, testable, and scalable framework enabling the building of hybrid mobile apps.

With this book, you will learn hybrid mobile application development using Ionic. This book uses Cordova 5.0.0, Ionic CLI 1.5.0 & Ionic 1.0.0 to explain the concepts and build apps.

To begin with, the book helps you understand where Ionic fits in today’s world. Then you will deep dive into Ionic CSS components, Ionic-Angular directives, and services. You will also examine theming Ionic apps using the built in SCSS setup.

Next, you will learn to build an Ionic client for a secure REST API, where you will implement user authentication and token-based development. Cordova and ngCordova will be explored and you will learn how you can integrate device specific features like a camera and Bluetooth with an Ionic app. You will wrap up the book by building a messaging app, which will deal with integrating REST API as well as device features.

By the end of this book you will be able to develop a hybrid mobile application from start to finish.

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ADMINISTRATION, Lonic, Programming Administration,

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Machine Learning with R

Book Description:

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the present-day era of “big data” and “data science”. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from your data.

“Machine Learning with R” is a practical tutorial that uses hands-on examples to step through real-world application of machine learning. Without shying away from the technical details, we will explore Machine Learning with R using clear and practical examples. Well-suited to machine learning beginners or those with experience. Explore R to find the answer to all of your questions.

How can we use machine learning to transform data into action? Using practical examples, we will explore how to prepare data for analysis, choose a machine learning method, and measure the success of the process.

We will learn how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data.

“Machine Learning with R” will provide you with the analytical tools you need to quickly gain insight from complex data.

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ADMINISTRATION, PACKT, Programming Administration, R,

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