有详细的书签目录 Microservice Patterns : With examples in Java 克里斯-理查森（Chris Richardson）

Kafka Streams in Action教会您在Kafka平台中实现流处理。在这本易于遵循的书中，您将探索收集、转换和聚合数据、使用多个处理器以及处理实时事件的实际示例。您甚至可以使用KSQL深入到流SQL中!到最后，它以测试和操作方面(如监视和调试)结束。

Thank you for purchasing the MEAP for Deep Learning with R. If you are looking for a resource to learn about deep learning from scratch and to quickly become able to use this knowledge to solve real-world problems, you have found the right book. Deep Learning with R is meant for statisticians, analysts, engineers and students with a reasonable amount of R experience, but no significant knowledge of machine learning and deep learning. This book is an adaptation of my previously published Deep Learning with Python, with all of the code examples using the R interface to Keras. The goal of the book is to provide a learning resource for the R community that goes all the way from basic theory to advanced practical applications. Deep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creative AI. Yet, its core concepts are in fact very simple. Deep learning is often presented as shrouded in a certain mystique, with references to algorithms that “work like the brain”, that “think” or “understand”. Reality is however quite far from this science- fiction dream, and I will do my best in these pages to dispel these illusions. I believe that there are no difficult ideas in deep learning, and that’s why I started this book, based on premise that all of the important concepts and applications in this field could be taught to anyone, with very few prerequisites. This book is structured around a series of practical code examples, demonstrating on real- world problems every the notions that gets introduced. I strongly believe in the value of teaching using concrete examples, anchoring theoretical ideas into actual results and tangible code patterns. These examples all rely on Keras, the deep learning library. When I released the initial version of Keras almost two years ago, little did I know that it would quickly skyrocket to become one of the most widely used deep learning frameworks. A big part of that success is that Keras has always put ease of use and accessibility front and center. This same reason is what makes Keras a great library to get started with deep learning, and thus a great fit for this book. By the time you reach the end of this book, you will have become a Keras expert. I hope that you will this book valuable —deep learning will definitely open up new intellectual perspectives for you, and in fact it even has the potential to transform your career, being the most in-demand scientific specialization these days. I am looking forward to your reviews and comments. Your feedback is essential in order to write the best possible book, that will benefit the greatest number of people.

2016年的Geoprocessing with Python , Manning出版，关于使用python对tiff数据或者其他遥感影像处理，十分简单易学，是入门遥感的一门不可多得的参考书

Summary Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice architecture, this clearly-written guide takes a balanced, pragmatic approach, exploring both the benefits and drawbacks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Successfully developing microservices-based applications requires mastering a new set of architectural insights and practices. In this unique book, microservice architecture pioneer and Java Champion Chris Richardson collects, catalogues, and explains 44 patterns that solve problems such as service decomposition, transaction management, querying, and inter-service communication. About the Book Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application. What's inside How (and why!) to use the microservice architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns including containers and serverlessices About the Reader

本书介绍了面向服务的架构（SOA）的基本概念和蓝图，对构成SOA的方方面面，包括服务编写和组装、业务流程建模、事件处理和报告、企业集成总线、决策服务等进行了全方位的介绍，并以“开放SOA平台”为目标，与读者一道搜罗了大量可选方案进行对比，最终选择了一系列开源产品组成完整的SOA解决方案。作者拥有多年企业软件开发经验，在本书中，他以真实世界的案例向我们展示了开源SOA的价值和实现方法。不论你是业务用户、架构师还是一线开发人员，都能从本书得到大量的启发和实战参考。

Manning.PowerShell.in.Depth.2nd.Edition

AOP in .NET introduces aspect-oriented programming and provides guidance on how to get the most practical benefit from this technique. The book's many examples concentrate on modularizing non-functional requirements that often sprawl throughout object-oriented projects. You'll appreciate its straightforward introduction using familiar C#-based examples. This book requires no prior experience with AOP. Readers should know C# or another OO language.

RabbitMQ is an open source message broker written in Erlang, currently under the wing of Pivotal Software. It's based around the AMQP open protocol, with official client libraries in Java, .NET, Erlang, as well as libraries for most other popular programming languages.

该书详细介绍了微服务架构下，spring体系通过集成 Netflix、 等公司的开源项目以及 Spring Boot ，帮助 Java 开发人员快速拆分单体应用，并对微服务的全生命流程，如服务发现、服务路由、client 负载均衡、断路器、MQ 等进行了封装，大大简化了开发流程。