Getting Started with Ionic. Get up and running with developing effective Hybrid Mobile Apps with Ionic

Rahat Khanna

Hybrid Apps are a promising choice in mobile app development to achieve cost effectiveness and rapid development. However, they were not preferred over native apps until few years back due to a poor performance and bad user experience, but everything has changed with the release of Ionic. It has evolved as the most popular choice for Hybrid Mobile App development as it tends to match the native experience and provides robust components/tools to build apps.Getting Started with Ionic equips any web developer with the basic knowledge needed to use modern web technologies to build amazing hybrid mobile apps using Ionic. This fast-paced, practical book explains all the important concepts of AngularJS and Cordova Framework required to develop apps, then gives you a brief introduction to hybrid mobile applications. It will guide you through setting up the environment to develop mobile apps, and through the multiple options and features available in Ionic so you can use them in your mobile apps. Features such as the Side Menu, Tabs, Touch Interactions, and native features such as Bar Code, Camera, and Geolocations are all covered.. Finally, we’ll show you how to use Cordova plugins and publish your apps.

Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Benjamin Planche, Eliot Andres

Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.

DevOps: Puppet, Docker, and Kubernetes. Practical recipes to make the most of DevOps with powerful tools

Neependra Khare, Ke-Jou Carol Hsu, Hideto Saito, John Arundel, ...

With so many IT management and DevOps tools on the market, both open source and commercial, it’s difficult to know where to start. DevOps is incredibly powerful when implemented correctly, and here’s how to get it done.This Learning Path covers three broad areas: Puppet, Docker, and Kubernetes. This Learning Path is a large resource of recipes to ease your daily DevOps tasks. We begin with recipes that help you develop a complete and expert understanding of Puppet’s latest and most advanced features. Then we provide recipes that help you efficiently work with the Docker environment. Finally, we show you how to better manage containers in different scenarios in production using Kubernetes.This course is based on these books:1. Puppet Cookbook, Third Edition 2. Docker Cookbook 3. Kubernetes Cookbook

Tapestry 5: Building Web Applications. A step-by-step guide to Java Web development with the developer-friendly Apache Tapestry framework

Alexander Kolesnikov, Brian Fitzpatrick

Expert Python Programming. Write proffesional, efficient and maintainable code in Python - Second Edition

Michał Jaworski

Python is a dynamic programming language, used in a wide range of domains by programmers who find it simple, yet powerful. Even if you find writing Python code easy, writing code that is efficient and easy to maintain and reuse is a challenge.The focus of the book is to familiarize you with common conventions, best practices, useful tools and standards used by python professionals on a daily basis when working with code.You will begin with knowing new features in Python 3.5 and quick tricks for improving productivity. Next, you will learn advanced and useful python syntax elements brought to this new version. Using advanced object-oriented concepts and mechanisms available in python, you will learn different approaches to implement metaprogramming. You will learn to choose good names, write packages, and create standalone executables easily.You will also be using some powerful tools such as buildout and vitualenv to release and deploy the code on remote servers for production use. Moving on, you will learn to effectively create Python extensions with C, C++, cython, and pyrex. The important factors while writing code such as code management tools, writing clear documentation, and test-driven development are also covered. You will now dive deeper to make your code efficient with general rules of optimization, strategies for finding bottlenecks, and selected tools for application optimization.By the end of the book, you will be an expert in writing efficient and maintainable code.

Learning SQLite for iOS. Extend SQLite with mobile development skills to build great apps for iOS devices

Gene Da Rocha

The ability to use SQLite with iOS provides a great opportunity to build amazing apps. Apple's iOS SDK provides native support for SQLite databases. This combination offers the potential to create powerful, data-persistent applications.This book starts with the architecture of SQLite database and introduces you to concepts in SQL . You will find yourself equipped to design your own database system, administer it, and maintain it. Further, you will learn how to operate your SQLite databases smoothly using SQL commands. You will be able to extend the functionality of SQLite by using its vast arsenal of C API calls to build some interesting, exciting, new, and intelligent data-driven applications. Understand how Xcode, HTML5, and Phonegap can be used to build a cross-platform modern app which can benefit from all these technologies - all through creating a complete, customizable application skeleton that you can build on for your own apps.

GitHub Essentials. Unleash the power of collaborative development workflows using GitHub - Second Edition

Achilleas Pipinellis

Whether you are an experienced developer or a novice, learning to work with Version Control Systems is a must in the software development world. Git is the most popular tool for that purpose, and GitHub was built around it, leveraging its powers by bringing it to the web.Starting with the basics of creating a repository, you will then learn how to manage the issue tracker, the place where discussions about your project take place. Continuing our journey, we will explore how to use the wiki and write rich documentation that will accompany your project. You will also master organization/team management and some of the features that made GitHub so well known, including pull requests. Next, we will focus on creating simple web pages hosted on GitHub and lastly, we will explore the settings that are configurable for a user and a repository.

Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala

Rajesh Gupta

Efficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights