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Apache Solr PHP Integration
Apache Solr PHP Integration

For PHP developers who need to integrate a search facility into their applications, this guide is your passport to success. It takes you step by step through the great features of Apache Solr and how to implement them.

Overview

  • Understand the tools that can be used to communicate between PHP and Solr, and...
SAS Programming in the Pharmaceutical Industry
SAS Programming in the Pharmaceutical Industry

This book was written for the entry- to intermediate-level SAS programmer who helps with the analysis and reporting of clinical trial data in the pharmaceutical industry. The industry may call this individual a “SAS programmer,” “clinical SAS programmer,” “statistical/stats programmer,”...

Think Stats
Think Stats

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

You'll work with a case study throughout the...

Introducing HTML5 Game Development
Card Sorting
Card Sorting
There’s something about cards. Cards can turn the drab and mundane into something strangely exciting. Recipe cards, for example, have a peculiar allure that cookbooks lack. A book full of tables of baseball statistics? Dull as dishwater. Put those same stats on the backs of trading cards, however, and now...
How to Build a Successful Blog Business
How to Build a Successful Blog Business

How to Build a Successful Blog Business is a straight forward guide to building a publishing business online that covers everything from choosing a niche to hiring staff, registering a business to selling it, finding traffic to monetizing it. Whether you are interested in creating an additional income stream or building a fully-fledged...

Think Stats
Think Stats

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this...

Optimizing Hadoop for MapReduce
Optimizing Hadoop for MapReduce

This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

Overview

  • Optimize your MapReduce job performance
  • ...
Learning Docker - Second Edition: Build, ship, and scale faster
Learning Docker - Second Edition: Build, ship, and scale faster

Docker lets you create, deploy, and manage your applications anywhere at anytime – flexibility is key so you can deploy stable, secure, and scalable app containers across a wide variety of platforms and delve into microservices architecture

About This Book

  • This up-to-date edition...
Power Phone Scripts: 500 Word-for-Word Questions, Phrases, and Conversations to Open and Close More Sales
Power Phone Scripts: 500 Word-for-Word Questions, Phrases, and Conversations to Open and Close More Sales

Start closing sales like top producers!

Have you ever found yourself at a loss for what to say when the gatekeeper asks you what your call is about? Have your palms ever sweated when the decision maker shuts you down with: “I wouldn’t be interested”? Has your heart taken a fast dive into your stomach when,...

Think Data Structures: Algorithms and Information Retrieval in Java
Think Data Structures: Algorithms and Information Retrieval in Java

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than...

Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Build effective regression models in R to extract valuable insights from real data

Key Features

  • Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
  • From Simple Linear Regression...
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