Автор: Varga Название: Creating Maintainable APIs ISBN: 1484221958 ISBN-13(EAN): 9781484221952 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Build straightforward and maintainable APIs to create services that are usable and maintainable. Although this book focuses on distributed services, it also emphasizes how the core principles apply even to pure OOD and OOP constructs.
The overall context of Creating Maintainable APIs is to classify the topics into four main areas: classes and interfaces, HTTP REST APIs, messaging APIs, and message payloads (XML, JSON and JSON API as well as Apache Avro).
What You Will Learn
Use object-oriented design constructs and their APIsCreate and manage HTTP REST APIsBuild and manage maintainable messaging APIs, including the use of Apache Kafka as a principal messaging hubHandle message payloads via JSON
Who This Book Is For
Any level software engineers and very experienced programmers.
Автор: Grinberg Miguel Название: Flask Web Development: Developing Web Applications with Python ISBN: 1491991739 ISBN-13(EAN): 9781491991732 Издательство: Wiley Рейтинг: Цена: 47510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you`ll learn the framework from the ground up by developing, step-by-step, a real-world project created by author Miguel Grinberg.
Автор: Pereira Название: Building APIs with Node.js ISBN: 1484224418 ISBN-13(EAN): 9781484224410 Издательство: Springer Рейтинг: Цена: 18630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This quick guide teaches you how to build scalable APIs using the Node.js platform and ES6 (EcmaScript 2015).Developing systems for the wide range of devices available in the modern world requires the construction of APIs designed to work only with data in a centralized manner, allowing client-side applications to be developed separately and have a unique interface for the final user. Node.js has proven itself to be an excellent platform for building REST APIs because of its single-thread architecture. It has a low learning curve and can be understood by anyone who has a basic understanding of the JavaScript language. Use Building APIs with Node.js today to understand how Node.js APIs work, and how you can build your own.
What You Will Learn
How to build scalable APIs using the Node.js platformHow to use ES6, Express, Passport, ApiDoc, Mocha, Helmet and moreHow to integrate an SQL database through Sequelize.js and build a single page application using Vanilla.js
Who This Book Is For
Ideal for developers who have a basic understanding of JavaScript and Node.js.
Автор: Sharan, Kishori Название: Java apis, extensions and libraries ISBN: 1484235452 ISBN-13(EAN): 9781484235454 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Previous edition: published as Beginning Java APIs, extensions and libraries. 2014.
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them.
In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.
After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis.
What You Will Learn
Import data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelr
Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API.
With a copy of the R Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.
What You Will Learn
Discover the modes and classes of R objects and how to use themUse both packaged and user-created functions in R Import/export data and create new data objects in RCreate descriptive functions and manipulate objects in RTake advantage of flow control and conditional statementsWork with packages such as base, stats, and graphics
Who This Book Is For
Those with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.
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