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This is the hardcover edition of Smith's classic book. It is also available in softcover under the title: "Digital Signal Processing: A Guide for Engineers and Scientists." The softcover version is slightly less expensive, while the hardcover edition contains an additional 23 page study guide to help newcomers to DSP. The Author's recommendation: Choose the hardcover edition if you will need DSP in the future, and the softcover version if your need is only short-term.

ElasticSearch is fast, distributed, scalable, and written in the Java search engine that leverages Apache Lucene capabilities providing a new level of control over how you index and search even the largest set of data. Mastering ElasticSearch covers the intermediate and advanced functionalities of ElasticSearch and will let you understand not only how ElasticSearch works, but will also guide you through its internals such as caches, Apache Lucene library, monitoring capabilities, and the Java API. In addition to that you'll see the practical usage of ElasticSearch configuration parameters, monitoring API, and easy-to-use and extend examples on how to extend ElasticSearch by writing your own plugins.

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. We will give you a brief recap on the basics and also introduce you to the new features of Elasticsearch 5.0. We will guide you through the intermediate and advanced functionalities of Elasticsearchsuch as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts including aggregation, index control, sharding, replication, and clustering.

Elasticsearch权威指南（中文版）Elasticsearch是一个实时分布式搜索和分析引擎。它让你以前所未有的速度处理大数据成为可能。 它用于全文搜索、结构化搜索、分析以及将这三者混合使用： 维基百科使用Elasticsearch提供全文搜索并高亮关键字，以及输入实时搜索(search-as-you-type)和搜索纠错(did-youmean) 等搜索建议功能。

Elasticsearch是一个强[0大0]的搜索引擎，提供了近实时的索引、搜索、分析功能。本书作者根据自己多年的开发经验，总结了使用和开发Elasticsearch的实战经验。本书全面介绍Elasticsearch系统结构与功能配置，以及实际应用案例，包括工具、方[0法0]、原则和佳实践。主要内容包括Elasticsearch基本概念与配置，索引的基本概念、管理与设置，架构设计中的字段、对象、映射，搜索中的结构、各种查询方式，聚合中的数字聚合、桶聚合、管道聚合，集群中的监控方式、配置案例，分析模块中的中文分词器、过滤器，高级设置中的关键点，监控与安全方面的技巧，ELK综合示例等。不管你是全文检索和Elasticsearch的初[0学0]者，还是Elasticsearch用户，你都能从书中获益。

Visionary physicist Geoffrey West is a pioneer in the field of complexity science, the science of emergent systems and networks. The term “complexity” can be misleading, however, because what makes West’s discoveries so beautiful is that he has found an underlying simplicity that unites the seemingly complex and diverse phenomena of living systems, including our bodies, our cities and our businesses.

Al Sweigart 是一名软件开发者，还教小孩和成人编程。他为初学者写了几本Python 书籍，包括《Python 密码学编程》、《Python 游戏编程快速上手》和《Python 和Pygame 游戏开发指南》

Instructors love "Numerical Methods for Engineers" because it makes teaching easy! Students love it because it is written for them - with clear explanations and examples throughout. The text features a broad array of applications that span all engineering disciplines. The sixth edition retains the successful instructional techniques of earlier editions. Chapra and Canale's unique approach opens each part of the text with sections called Motivation, Mathematical Background, and Orientation. This prepares the student for upcoming problems in a motivating and engaging manner. Each part closes with an Epilogue containing Trade-Offs, Important Relationships and Formulas, and Advanced Methods and Additional References. Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Approximately 20 percent of the problems are new or revised in this edition. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering. Users will find use of software packages, specifically MATLAB[registered], Excel[registered] with VBA and Mathcad[registered]. This includes material on developing MATLAB[registered] m-files and VBA macros.

Python Machine Learning第二版，原版PDF。About This Book Leverage Python' s most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets

This book provides a broad overview of the topic Bioinformatics (medical informatics + biological information) with a focus on data, information and knowledge. From data acquisition and storage to visualization, privacy, regulatory, and other practical and theoretical topics, the author touches on several fundamental aspects of the innovative interface between the medical and computational domains that form biomedical informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic, and throughout the text, the reader finds several real-world examples, methodologies, and ideas that complement the technical and theoretical background. Also at the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges.