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Java 9 for Programmers (4th Edition) (Deitel Developer Series)

Prentice Hall, 2017

The professional programmer’s Deitel® guide to Java® 9 and the powerful Java platform

Written for programmers with a background in another high-level language, this book applies the...

Exploring Java 9: Build Modularized Applications in Java

Apress, 2017

Discover all the new features and changes in Java 9, including module systemsâJPMS or Project Jigsaw. This book covers the whole Java application development life cycle. You'll review all the important concepts, including module descriptor, unnamed module, automatic module, and command line tools.

...

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

O'Reilly, 2018

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Expanding Your Raspberry Pi: Storage, printing, peripherals, and network connections for your Raspberry Pi

Apress, 2017

Gain a deeper understanding of how Raspberry Pi works to get the results you want right in the palm of your hand. This book helps you understand the right connections and software to drive your Raspberry Pi into opening the worlds of programming, electronic experiments, system control, digital imaging, and the Internet of Things to you. ...

Hadoop Real World Solutions Cookbook - Second Edition

Packt Publishing, 2016

Key Features

Implement outstanding Machine Learning use cases on your own analytics models and processes.
Solutions to common problems when working with the Hadoop ecosystem.
Step-by-step implementation of end-to-end big data use cases.

Who This Book Is For

...

Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Apress, 2015

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well...

Learning Spark: Lightning-Fast Big Data Analysis

O'Reilly, 2015

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java,...

Java: The Complete Reference, Ninth Edition

McGraw-Hill, 2014

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

The Definitive Java Programming Guide

Fully updated for Java SE 8, Java: The Complete Reference, Ninth Edition...

Raspberry Pi Embedded Projects Hotshot

Packt Publishing, 2015

This book is targeted towards beginners and intermediate designers of mechatronic systems and embedded system design. Some familiarity with the Raspberry Pi and Python programming is preferred but not required.

The Raspberry Pi is a quaint example of technological innovations that come by once every two or three decades and set off...

C++17 STL Cookbook

Packt Publishing, 2017

Key Features

Learn the latest features of C++ and how to write better code by using the Standard Library (STL). Reduce the development time for your applications.

Understand the scope and power of STL features to deal with real-world problems.

Compose your own algorithms without forfeiting...

Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

O'Reilly, 2016

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics...

Learning from Data Streams: Processing Techniques in Sensor Networks

Springer, 2007

Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few...

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