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Design Patterns and Best Practices in Java
Design Patterns and Best Practices in Java

Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java's functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from ...
Design Patterns in Modern C++
Design Patterns in Modern C++

Apply modern C++17 to the implementations of classic design patterns. As well as covering traditional design patterns this book fleshes out new patterns and approaches that will be useful to C++ developers. The author presents concepts as a fun investigation of how problems can be solved in different ways, along the way using varying degrees of technical sophistication and explaining different sorts of trade-offs. Design Patterns in Modern C++ also provides a technology demo for modern C++, showcasing how some of its latest features (e.g., coroutines) make difficult problems a lot easier to solve. The examples in this book are all suitable for putting into production, with only a few simplifications made in order to aid readability. Apply design patterns to modern C++ programming; Use creational patterns of builder, factories, prototype and singleton; Implement structural patterns such as adapter, bridge, decorator, facade and more; Work ...
Data Mining Algorithms in C++
Data Mining Algorithms in C++

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widespread use. Others are standard algorithms given a fresh look. In every case, the focus is on practical applicability, with all code written in such a way that it can easily be included into any program. The Windows-based DATAMINE program lets you experiment with the techniques before incorporating them into your own work. Use Monte-Carlo permutation tests to provide statistically sound assessments of relationships present in your data; Discover how combinatorially symmetric cross validation reveals whether your model h ...
Interactive C#
Interactive C#

Discover object-oriented programming with core concepts of C# in this unique tutorial. The book consists of four major sections which cover 15 core topics - nine of them are dedicated to object-oriented programming, five of them are dedicated to advanced concepts of C#, and one of them is dedicated to design patterns with coverage of three Gang of Four design patterns with C# implementations. Finally, Interactive C# contains an FAQ section to cover all of these topics. This book uniquely presents a two-way discussion between a teacher and students. So, with this book you will have the feel of learning C# in a classroom environment or with your private tutor. Your teacher will discuss the problems/topics and ask you questions; at the same time, counter questions are provided to clarify points where necessary. ...
Designing Distributed Systems
Designing Distributed Systems

In the race to compete in today's fast-moving markets, large enterprises are busy adopting new technologies for creating new products, processes, and business models. But one obstacle on the road to digital transformation is placing too much emphasis on technology, and not enough on the types of processes technology enables. What if different lines of business could build their own services and applications - and decision-making was distributed rather than centralized? This report explores the concept of a digital business platform as a way of empowering individual business sectors to act on data in real time. Much innovation in a digital enterprise will increasingly happen at the edge, whether it involves business users (from marketers to data scientists) or IoT devices. To facilitate the process, your core IT team can provide these sectors with the digital tools they need to innovate quickly. This report explores: Key cultural and organizational changes for developing business ...
Elemental Design Patterns
Elemental Design Patterns

Even experienced software professionals find it difficult to apply patterns in ways that deliver substantial value to their organizations. In Elemental Design Patterns Jason McC. Smith addresses this problem head-on, helping developers harness the true power of patterns map them to real software implementations more cleanly and directly, and achieve far better results. Part tutorial, part example-rich cookbook, this resource will help developers, designers, architects, and analysts successfully use patterns with a wide variety of languages, environments, and problem domains. Every bit as important, it will give them a deeper appreciation for the work they've chosen to pursue. Smith presents the crucial missing link that patterns practitioners have needed: a foundational collection of simple core patterns that are broken down to their core elements. If you work in software, you may already be using some of these elemental design patterns ...
Adaptive Code, 2nd Edition
Adaptive Code, 2nd Edition

By applying this book's principles, you can create code that accommodates new requirements and unforeseen scenarios without significant rewrites. Gary McLean Hall describes Agile best practices, principles, and patterns for designing and writing code that can evolve more quickly and easily, with fewer errors, because it doesn't impede change. Now revised, updated, and expanded, Adaptive Code, Second Edition adds indispensable practical insights on Kanban, dependency inversion, and creating reusable abstractions. Drawing on over a decade of Agile consulting and development experience, McLean Hall has updated his best-seller with deeper coverage of unit testing, refactoring, pure dependency injection, and more. Master powerful new ways to: Write code that enables and complements Scrum, Kanban, or any other Agile framework; Develop code that can survive major changes in requirements; Plan for adaptability by using dependencies, layering, interfaces, and design patterns; Perfo ...
Reactive Design Patterns
Reactive Design Patterns

Modern web applications serve potentially vast numbers of users - and they need to keep working as servers fail and new ones come online, users overwhelm limited resources, and information is distributed globally. A Reactive application adjusts to partial failures and varying loads, remaining responsive in an ever-changing distributed environment. The secret is message-driven architecture - and design patterns to organize it. Reactive Design Patterns presents the principles, patterns and best practices of Reactive application design. You'll learn how to keep one slow component from bogging down others with the Circuit Breaker pattern, how to shepherd a many-staged transaction to completion with the Saga pattern, how to divide datasets by Sharding, and more. You'll even see how to keep your source code readable and the system testable despite many potential interactions and points of failure. ...
Advanced Analytics with Spark, 2nd Edition
Advanced Analytics with Spark, 2nd Edition

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques - including classification, clustering, collaborative filtering, and anomaly detection - to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find the book's patterns useful for working on your own data applications. Familiarize yourself with the Spark programming model; Become comfortabl ...
Java 9 Modularity
Java 9 Modularity

The upcoming Java 9 module system will affect existing applications and offer new ways of creating modular and maintainable applications. With this hands-on book, Java developers will learn not only about the joys of modularity, but also about the patterns needed to create truly modular and reliable applications. Authors Sander Mak and Paul Bakker teach you the concepts behind the Java 9 module system, along with the new tools it offers. You'll also learn how to modularize existing code and how to build new Java applications in a modular way. Understand Java 9 module system concepts; Master the patterns and practices for building truly modular applications; Migrate existing applications and libraries to Java 9 modules; Use JDK 9 tools for modular development and migration. ...
Cloud Native Infrastructure
Cloud Native Infrastructure

Cloud native infrastructure is more than servers, network, and storage in the cloud - it is as much about operational hygiene as it is about elasticity and scalability. In this book, you'll learn practices, patterns and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. Understand why cloud native infrastructure is necessary to effectively run cloud native applications; Use guidelines to decide when - and if - your business should adopt cloud native practices; Learn patterns for deploying and managing infrastructure and applications; Design tests to prove that your infrastru ...
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