Видавець: Packt Publishing
haXe 2 Beginner's Guide. Develop exciting applications with this multi-platform programming language
Benjamin Dasnois
This book is part of the Packt Beginner's Guide series. Written in an engaging style, it offers step-by-step examples with screenshots at key steps and clear explanation of what is happening in each task. This book is written for both Beginners and Developers who want to learn this multi-platform programming language to build web applications from scratch.
Jeremy McCurdy
Haxe is a powerful and high-level multi-platform language that's incredibly easy to learn. Used by thousands of developers and many high-profile companies, Haxe is quickly emerging as a forerunner in the area of cross-platform programming. OpenFL builds on top of Haxe to make developing for multiple platforms quick and painless. HaxeFlixel provides you with the tools you need to build amazing 2D games easier than ever before. Cross-platform development has been supercharged using the Haxe programming language, making it increasingly easy and hassle-free to develop multi-platform games. If you've programmed games before and want to learn out how to deliver games across multiple platforms, or develop games faster, then Haxe Game Development Essentials is the book for you.It starts by showing you how to set up your development environment, then running you through some Haxe language fundamentals, and finally taking you through the process of programming a game from start to finish.You will learn how to create a side scrolling shooter game using HaxeFlixel. Next you will learn to enhance the game with new gameplay features, user interfaces, animations, sound, and configuration files to make your game expandable. Once your game is built and ready, you will learn how to deploy it to web, Android, iOS, and desktop systems. By the end of this book, you will be confident about creating multi-platform games using Haxe, OpenFL, and HaxeFlixel in a faster and easier way.
Yifeng Jiang
As an Open Source distributed big data store, HBase scales to billions of rows, with millions of columns and sits on top of the clusters of commodity machines. If you are looking for a way to store and access a huge amount of data in real-time, then look no further than HBase.HBase Administration Cookbook provides practical examples and simple step-by-step instructions for you to administrate HBase with ease. The recipes cover a wide range of processes for managing a fully distributed, highly available HBase cluster on the cloud. Working with such a huge amount of data means that an organized and manageable process is key and this book will help you to achieve that.The recipes in this practical cookbook start from setting up a fully distributed HBase cluster and moving data into it. You will learn how to use all of the tools for day-to-day administration tasks as well as for efficiently managing and monitoring the cluster to achieve the best performance possible. Understanding the relationship between Hadoop and HBase will allow you to get the best out of HBase so the book will show you how to set up Hadoop clusters, configure Hadoop to cooperate with HBase, and tune its performance.
Nishant Garg
This book is intended for developers and Big Data engineers who want to know all about HBase at a hands-on level. For in-depth understanding, it would be helpful to have a bit of familiarity with HDFS and MapReduce programming concepts with no prior experience with HBase or similar technologies. This book is also for Big Data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic, scalable database solution in the Big Data space.
HBase High Performance Cookbook. Solutions for optimization, scaling and performance tuning
Ruchir Choudhry
Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data.We’ll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we’ll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we’ll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance.
Rajesh Nadipalli
If you want to discover one of the latest tools designed to produce stunning Big Data insights, this book features everything you need to get to grips with your data. Whether you are a data architect, developer, or a business strategist, HDInsight adds value in everything from development, administration, and reporting.
Vikas (Vik) Kumar, Shameer Khader
In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes.This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed.By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples.
Anubhav Hanjura
An easy-to-follow, hands-on guide that clearly explains the various components of the Heroku platform and provides step-by-step guidance as well as numerous examples on how to build and troubleshoot robust and scalable production-ready web applications on the Heroku platform. This book is intended for those who want to learn Heroku the right way. Perhaps you are new to Heroku or are someone who has heard about Heroku but have not built anything significant with it. You should have knowledge or familiarity with cloud computing and basic knowledge of database and network deployment.