Building RESTful Python Web Services, Gaston C. Hillar
Автор: Puglisi Silvia Название: Restful Rails Development ISBN: 1491910852 ISBN-13(EAN): 9781491910856 Издательство: Wiley Рейтинг: Цена: 5067.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book serves as a practical guide to developing RESTful applications, designing RESTful architectures, and deploying RESTful services using Ruby on Rails. By the end of each chapter, the reader will have key takeaways for how to build and extend a multi-service platform spanning different devices.
Автор: Erik Wilde; Cesare Pautasso Название: REST: From Research to Practice ISBN: 1489991832 ISBN-13(EAN): 9781489991836 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume provides an overview of REST (Representational State Transfer). Featuring a detailed exploration of the constraints of REST the book focuses on its use as an architectural style for the Web, and its potential applications beyond the Web`s confines.
Описание: Get a brisk introduction to building fast, interactive single-page web applications with Vue.js, the popular JavaScript framework that organizes and simplifies web development. With this practical guide, you`ll quickly move from basics, such as the template syntax, to custom components and advanced features such as JSX.
Автор: Hussein Nasser Название: Building Web Applications with ArcGIS ISBN: 1783552956 ISBN-13(EAN): 9781783552955 Издательство: Неизвестно Рейтинг: Цена: 4964.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you are a GIS user or a web programmer, this book is for you. This book is also intended for all those who have basic web development knowledge with no prior experience of ArcGIS and are keen on venturing into the world of ArcGIS technology. The book will equip you with the skills to comfortably start your own ArcGIS web development project.
Автор: Balachandar Bogunuva Mohanram Название: Restful Java Web Services, Third Edition ISBN: 1788294041 ISBN-13(EAN): 9781788294041 Издательство: Неизвестно Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: REST (REpresentational State Transfer) is a powerful software architecture style to create scalable web services. The REST API uses HTTP and JSON, so that it can be used with many programming languages such as Java and Python. This book is a guide to developing RESTful web services in Java using the popular RESTful framework APIs available today.
Автор: Richardson Leonard, Amundsen Mike, Ruby Sam Название: Restful Web APIs ISBN: 1449358063 ISBN-13(EAN): 9781449358068 Издательство: Wiley Рейтинг: Цена: 5701.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With this practical guide, you`ll learn what it takes to design usable REST APIs that evolve over time. By focusing on solutions that cross a variety of domains, this book shows you how to create powerful and secure applications, using the tools designed for the world`s most successful distributed computing system: the World Wide Web.
Автор: Doglio Название: REST API Development with Node.js ISBN: 1484237145 ISBN-13(EAN): 9781484237144 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Manage and understand the full capabilities of successful REST development. REST API development is a hot topic in the programming world, but not many resources exist for developers to really understand how you can leverage the advantages.
This completely updated second edition provides a brief background on REST and the tools it provides (well known and not so well known), then explains how there is more to REST than just JSON and URLs. You will learn about the maintained modules currently available in the npm community, including Express, Restify, Vatican, and Swagger. Finally you will code an example API from start to finish, using a subset of the tools covered.
The Node community is currently flooded with modules; some of them are published once and never updated again - cluttering the entire universe of packages. Pro REST API Development with Node.js shines light into that black hole of modules for the developers trying to create an API. Understand REST API development with Node.js using this book today.
What You'll Learn
Understand how REST and API development mix up with Node.js
Create a scalable, technology agnostic, and uniform interface
Prepare your services to be consumed by your clients
Test and deploy your API
Review troubleshooting techniques
Who This Book Is For
Any Node.js developer who wants to fully understand REST API development.
Beginner and Intermediate Node.js developers who are looking to fully understand how to create RESTful microservices.
Автор: Chaffer J Название: Building Machine Learning Systems with Python ISBN: 1782161406 ISBN-13(EAN): 9781782161400 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need.
Key Features
Master Machine Learning using a broad set of Python libraries and start building your own Python-based ML systems
Covers classification, regression, feature engineering, and much more guided by practical examples
A scenario-based tutorial to get into the right mind-set of a machine learner (data exploration) and successfully implement this in your new or existing projects
Book Description
Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.
Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on.
Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.
Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.
What you will learn
Build a classification system that can be applied to text, images, or sounds
Use scikit-learn, a Python open-source library for machine learning
Explore the mahotas library for image processing and computer vision
Build a topic model of the whole of Wikipedia
Get to grips with recommendations using the basket analysis
Use the Jug package for data analysis
Employ Amazon Web Services to run analyses on the cloud
Recommend products to users based on past purchases
Описание: The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.
Описание: If you want to build your organization`s next web application with HTML5, this practical book will help you sort through the various frameworks, libraries, and development options that populate this stack.
Автор: Dory Michael, Parrish Allison, Berg Brendan Название: Introduction to Tornado: Modern Web Applications with Python ISBN: 1449309070 ISBN-13(EAN): 9781449309077 Издательство: Wiley Рейтинг: Цена: 3008.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Tornado is a scalable, non-blocking web server and web application framework written in Python. It is also light-weight to deploy, fun to write for, and incredibly powerful. Tornado was written with performance in mind, aiming to solve the C10k problem, so by design it`s an extremely high-performance framework.
Get more from your data with the power of Python machine learning systems
Key Features
Build your own Python-based machine learning systems tailored to solve any problem
Discover how Python offers a multiple context solution for create machine learning systems
Practical scenarios using the key Python machine learning libraries to successfully implement in your projects
Book Description
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learning libraries you can focus on the task at hand while being able to quickly try out many ideas.
This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and introducing libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling, creating recommendation systems. Later on, the book covers advanced topics such as topic modeling, basket analysis, and cloud computing. These will extend your abilities and enable you to create large complex systems.
With this book, you gain the tools and understanding required to build your own systems, tailored to solve your real-world data analysis problems.
What you will learn
Build a classification system that can be applied to text, images, or sounds
Use NumPy, SciPy, scikit-learn - scientific Python open source libraries for scientific computing and machine learning
Explore the mahotas library for image processing and computer vision
Build a topic model for the whole of Wikipedia
Employ Amazon Web Services to run analysis on the cloud
Debug machine learning problems
Get to grips with recommendations using basket analysis
Recommend products to users based on past purchases
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