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Programming PHP
This updated edition teaches everything you need to know to create effective web applications with the latest features in PHP 5.x. You’ll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms.
If... | | Beginning Hibernate
Beginning Hibernate, Third Edition is ideal if you’re experienced in Java with databases (the traditional, or "connected," approach), but new to open-source, lightweight Hibernate, a leading object-relational mapping and database-oriented application development framework.
This book packs in information... | | |
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Learning Dart
Dart is the programming language developed by Google that offers a new level of simple versatility. Learn all the essentials of Dart web development in this brilliant tutorial that takes you from beginner to pro.
Overview
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Develop apps for the Web using Dart and HTML5
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Build powerful HTML5...
| | Flask By Example
Unleash the full potential of the Flask web framework by creating simple yet powerful web applications
About This Book
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The most up-to-date book on Flask on the market
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Create your own world-class applications and master the art of Flask by unravelling its enigma through this journey
... | | PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to ... |
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Kubernetes Microservices with Docker
Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.
Next, Kubernetes Microservices with... | | Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working... | | Building Python Real-Time Applications with Storm
Learn to process massive real-time data streams using Storm and Pythonâno Java required!
About This Book
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Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data
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Explore sample applications in real-time and analyze...
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