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AW.The.Art.of.Computer.Programming.Volume.4

OReilly.Modern.Mainframe.Development

Over the years, React and React Native has proven itself among JavaScript developers as a popular choice for a complete and practical guide to the React ecosystem. This fourth edition comes with the latest features, enhancements, and fixes to align with React 18, while also being compatible with React Native. It includes new chapters covering critical features and concepts in modern cross-platform app development with React.

Selenium.with.Python.A.Beginners.Guide.2019，自动化测试

The Hypertext Transfer Protocol (HTTP) is the protocol programs use to communicate over the World Wide Web. There are many applications of HTTP, but HTTP is most famous for two-way conversation between web browsers and web servers. HTTP began as a simple protocol, so you might think there really isn’t that much to say about it. And yet here you stand, with a two-pound book in your hands. If you’re wondering how we could have written 650 pages on HTTP, take a look at the Table of Contents. This book isn’t just an HTTP header reference manual; it’s a veritable bible of web architecture.

HTTP is the protocol that enables us to buy microwave ovens from Amazon.com, reunite with an old friend in a Facebook chat, and watch funny cat videos on YouTube. HTTP is the protocol behind the World Wide Web. It allows a web server from a data center in the United States to ship information to an Internet café in Australia, where a young student can read a webpage describing the Ming dynasty in China. In this book we'll look at HTTP from a software developer's perspective. Having a solid understanding of HTTP can help you write better web applications and web services. It can also help you debug applications and services when things go wrong. We'll be covering all the basics including resources, messages, connections, and security as it relates to HTTP.

Microservices are getting very popular these days. It’s not a surprise; this software architecture style has a lot of advantages, like flexibility and ease of scale. Mapping them into small teams in an organization also gives you a lot of efficiency in development. However, going on the adventure of microservices knowing only the benefits is a wrong call: you need to know what you are facing and be prepared for that in advance. You can get a lot of knowledge from many books and articles on the Internet but, when you get hands-on code, the story changes.

This book will take you on an interesting journey to learn about PySpark and big data through a problem-solution approach. Every problem is followed by a detailed, step-by-step answer, which will improve your thought process for solving big data problems with PySpark.

In today's world, computer programming languages are getting much more advanced and there is a shift in the approach of using technologies. This is due to the fact that technology has been emerging with the rapid change in businesses and their needs. The vast expansion of business on electronic devices has led universities, researchers, and industries to invest in generating the latest technologies and tools that result in the inception of many new computer languages. However, this is not the case with JavaScript. It's relatively new. It has been used and dumped at least three times by the modern programming landscape and is now widely accepted as the tool to develop modern, scalable, and real-time web applications in today's cyberspace.

This volume embraces machine learning approaches and Python to enable automatic rendering of rich insights and solutions to business problems. The book uses a hands-on case study-based approach to crack real-world applications where machine learning concepts can provide a best fit. These smarter machines will enable your business processes to achieve efficiencies in minimal time and resources. Python Machine Learning Case Studies walks you through a step-by-step approach to improve business processes and help you discover the pivotal points that frame corporate strategies. You will read about machine learning techniques that can provide support to your products and services. The book also highlights the pros and cons of each of these machine learning concepts to help you decide which one best suits your needs. By taking a step-by-step approach to coding you will be able to understand the rationale behind model selection within the machine learning process. The book is equipped with practical examples and code snippets to ensure that you understand the data science approach for solving real-world problems.

Hive is an open source big data framework in the Hadoop ecosystem. It provides an SQL-like interface to query data stored in HDFS. Underlying it runs MapReduce programs corresponding to the SQL query. Hive was initially developed by Facebook and later added to the Hadoop ecosystem. Hive is currently the most preferred framework to query data in Hadoop. Because most of the historical data is stored in RDBMS data stores, including Oracle and Teradata. It is convenient for the developers to run similar SQL statements in Hive to query data.

The first edition of this book was published in 2012, during a time when open source data analysis libraries for Python (such as pandas) were very new and developing rapidly. In this updated and expanded second edition, I have overhauled the chapters to account both for incompatible changes and deprecations as well as new features that have occurred in the last five years. I’ve also added fresh content to introduce tools that either did not exist in 2012 or had not matured enough to make the first cut. Finally, I have tried to avoid writing about new or cutting-edge open source projects that may not have had a chance to mature. I would like readers of this edition to find that the content is still almost as relevant in 2020 or 2021 as it is in 2017

Working with data is about producing knowledge. Whether that knowledge is consumed by a person or acted on by a machine, our goal as professionals working with data is to use observations to learn about how the world works. We want to turn information into insights, and asking the right questions ensures that we’re creating insights about the right things. The purpose of this book is to help us understand that these are our goals and that we are not alone in this pursuit.

Spring is the most popular Java-based framework for building enterprise applications. The Spring framework provides a rich ecosystem of projects to address modern application needs, like security, simplified access to relational and NoSQL datastores, batch processing, integration with social networking sites, large volume of data streams processing, etc. As Spring is a very flexible and customizable framework, there are usually multiple ways to configure the application. Although it is a good thing to have multiple options, it can be overwhelming to the beginners. Spring Boot addresses this “Spring applications need complex configuration” problem by using its powerful autoconfiguration mechanism.

Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS, HBase, or the AmazonSimpleStorageService(S3).Inadditiontousingthesameunifiedstorageplatform,Impalaalsousesthesame metadata,SQLsyntax(HiveSQL),ODBCdriver,anduserinterface(ImpalaqueryUIinHue)asApacheHive.Thisprovides a familiar and unified platform for real-time or batch-oriented queries.

CSS Secrets中文 2016。这本书是为新一代 CSS 所写的新一代 CSS 图书。也许从前的 CSS 只会让你联想到浏览器里的各种小把戏，但如今 CSS 已经成为一门功能强大、具备完整生态、涉及 80 多项 W3C 规范的复杂语言。在我所知的技术专家中，没人比 Lea Verou 更能领会新一代 CSS 的精髓，没人能像她那样透彻地给出问题解决之道。

This text is designed to teach the concepts and techniques of Docker and its ecosystem as applied to the field of data science. Besides introducing the core Docker technologies (the container and image, the engine, the Dockerfile), this book contains a discussion on building larger integrated systems using the Jupyter Notebook Server and open source data stores MongoDB, PostgreSQL, and Redis.

Welcome to the book Go Design Patterns! With this book , you'll learn basic and advanced techniques and patterns with Go language. Don't worry if you have never written Go code before; this book will gradually introduce you to the various concepts in Go programming.

Real-time data processing is no longer a luxury exercised by a few big companies but has become a necessity for businesses that want to compete, and Apache Storm is becoming the de facto standard to develop real-time processing pipelines. The key features of Storm are that it is horizontally scalable, fault-tolerant, and provides guaranteed message processing. Storm can solve various types of analytical problems, such as machine learning, log processing, and graph analysis.

Redis is the most popular in-memory key-value data store. It is very lightweight and its data types give it an edge over other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you should use. This book is a fast-paced guide that teaches you the fundamentals of data types, explains how to manage data through commands, and shares experiences from big players in the industry.

PostGIS is basically an extension of PostgreSQL DBMS that allows it to manage spatial datatypes. It was developed by Refractions Research Inc, a Canadian company, and published under the GNU license. Through the years, PostGIS has been observed to be a better solution than many of the other options on the market. A lot of these solutions are proprietary.

Welcome to D3.js 4.x Data Visualization, Third Edition. Over the course of this book, you’ll learn the basics of one of the world’s most ubiquitous and powerful data visualization libraries, but we don’t stop there. By the end of our time together, you’ll have all the skills you need to become a total D3 ninja, and will be able to do everything from build visualizations from scratch straight through to using it on the server and writing automated tests. If you haven’t leveled up your JavaScript skills in a while, you’re in for a treat--this book endeavors to use the latest features currently being added to the language, all the while explaining why they’re cool and how they differ from "old school" JavaScript.

OpenGL is a multiplatform, cross-language, and hardware-accelerated application programming interface for the high-performance rendering of 2D and 3D graphics. An emerging use of OpenGL is the development of real-time, high-performance data visualization applications in fields ranging from medical imaging, simulation or modeling in architecture and engineering, to cutting-edge mobile/wearable computing. Indeed, data visualization has become increasingly challenging using conventional approaches without graphics hardware acceleration as datasets become larger and more complex, especially with the evolution of big data. From a mobile device to a sophisticated high-performance computing cluster, the OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications.