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  1. Java 9 Cookbook

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    Title : Java 9 Cookbook
    Author: Sanaulla M., Samoylov N.
    Genre : Programming
    Publication Date: 2017-08-21
    Format: pdf
     
    설명
    Java is an object-oriented programming language. It is one of the most widely accepted languages because of its design and programming features, particularly in its promise that you can write a program once and run it anywhere.
    This cookbook offers a range of software development examples in simple and straightforward Java 9 code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. Starting with the installation of Java, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works.
    We cover major concepts such as Project Jigsaw and various tools that will enable you to modularize your applications. You will learn new features in the form of recipes that will make your applications modular, secure, and fast.
    What You Will Learn:
    - Set up JDK and know the differences in the JDK 9 installation
    - Implement OO Designs using Classes and Interfaces
    - Manage operating system processes
    - Understand the new modular JDK and modular programming
    - Create a modular application with clear dependencies
    - Build graphical user interfaces using JavaFX
    - Use the new HTTP Client API
    - Learn about the new diagnostic features in Java 9
    - See how to use the new jShell REPL tool
    - Execute ES6-compliant JavaScript code from your Java applications

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  2. Spring Developing Java Applications for the Enterprise

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    Title : Spring Developing Java Applications for the Enterprise
    Author: Soni R.K., Ganeshan A., Rajesh RV
    Genre : Programming
    Publication Date: 2017-02-28
    Format: pdf
     
    설명
    This carefully designed course aims to get you started with Spring, the most widely adopted Java framework, and then goes on to more advanced topics such as building microservices using Spring Boot within Spring. With additional coverage of popular web frameworks such as Struts, WebWork, Java Server Faces, Tapestry, Docker, and Mesos, you'll have all the skills and expertise you need to build great applications.
    Starting with the Spring Framework architecture and setting up the key components of the Spring Application Development Environment, you will learn how to configure Spring Container and manage Spring beans using XML and Annotation. Next, you will delve into Spring MVC, which will help you build flexible and loosely coupled web applications. You'll also get to grips with testing applications for reliability. Moving on, this course will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, this book will help you build modern, Internet-scale Java applications in no time.
    This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
    - Learning Spring Application Development by Ravi Kant Soni
    - Spring MVC Beginner's Guide - Second Edition by Amuthan Ganeshan
    - Spring Microservices by Rajesh RV
    What You Will Learn:
    - Understand the architecture of Spring Framework and how to set up the key components of the Spring Application Development Environment
    - Configure Spring Container and manage Spring beans using XML and Annotation
    - Practice Spring AOP concepts such as Aspect, Advice, Pointcut, and Introduction
    - Integrate bean validation and custom validation
    - Use error handling and exception resolving
    - Get to grips with REST-based web service development and Ajax
    - Use Spring Boot to develop microservices
    - Find out how to avoid common pitfalls when developing microservices
    - Get familiar with end-to-end microservices written in Spring Framework and Spring Boot

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  3. Thoughtful Machine Learning with Python

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    Title : Thoughtful Machine Learning with Python
    Author: Kirk M.
    Genre : Programming
    Publication Date: 2017-01-27
    Format: pdf
     
    설명
    Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.
    Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst interested in data science, this book will help you:
    - Reference real-world examples to test each algorithm through engaging, hands-on exercises
    - Apply test-driven development (TDD) to write and run tests before you start coding
    - Explore techniques for improving your machine-learning models with data extraction and feature development
    - Watch out for the risks of machine learning, such as underfitting or overfitting data
    - Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms

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  4. Python Data Science Handbook

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    Title : Python Data Science Handbook
    Author: VanderPlas J.
    Genre : Programming
    Publication Date: 2017
    Format: pdf, code
     
    설명
    The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?
    This book is a reference for day-to-day Python-enabled data science, covering both the computational and statistical skills necessary to effectively work with . The discussion is augmented with frequent example applications, showing how the wide breadth of open source Python tools can be used together to analyze, manipulate, visualize, and learn from data.

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  5. Computer Vision with Python 3

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    Title : Computer Vision with Python 3
    Author: Kapur S.
    Genre : Programming
    Publication Date: 2017-08-24
    Format: pdf, code
     
    설명
    This book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithms.
    The book aims to equip readers to build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we will look at in the book are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.
    What You Will Learn:
    - Working with open source libraries such Pillow, Scikit-image, and OpenCV
    - Writing programs such as edge detection, color processing, image feature extraction, and more
    - Implementing feature detection algorithms like LBP and ORB
    - Tracking objects using an external camera or a video file
    - Optical Character Recognition using Machine Learning.
    - Understanding Convolutional Neural Networks to learn patterns in images
    - Leveraging Cloud Infrastructure to provide Computer Vision as a Service

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  6. Beginning XML with C# 7

    개인 소장용이므로, 현재 다운로드가 불가능합니다.  
    Title : Beginning XML with C# 7
    Author: Joshi B.
    Genre : Programming
    Publication Date: 2017-11-28
    Format: pdf
     
    설명
    Master the basics of XML as well as the namespaces and objects you need to know in order to work efficiently with XML. You'll learn extensive support for XML in everything from data access to configuration, from raw parsing to code documentation. You will see clear, practical examples that illustrate best practices in implementing XML APIs and services as part of your C#-based Windows 10 applications.
    Beginning XML with C# updates Bipin Joshi's one-of-a-kind title to the new C# 7 programming language and .NET 4.7 Framework releases. In this update, you’ll discover the tight integration of XML with ADO.NET and LINQ as well as additional .NET support for today's RESTful web services and microservices. Written by a Microsoft Certified trainer and developer, this book demystifies everything to do with XML and C# 7.
    What You'll Learn:
    - Discover how XML works with the .NET Framework
    - Read, write, access, validate, and manipulate XML documents
    - Transform XML with XSLT
    - Use XML serialization and web services
    - Combine XML in ADO.NET and SQL Server
    - Create services using Windows Communication Foundation
    - Work with LINQ
    - Use XML with C# in Azure and more
    Who This Book Is For:
    - Those with experience in C# and .NET new to the nuances of using XML. Some XML experience is helpful.

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  7. Java Pocket Guide (4th edition)

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    Title : Java Pocket Guide (4th edition)
    Author: Robert Liguori, Patricia Liguori
    Genre : Programming
    Publication Date: 2017-09-23
    Format: pdf
     
    설명
    Any time you need quick answers for developing or debugging Java programs, this pocket guide is the ideal reference to standard features of the Java programming language and its platform. You’ll find helpful programming examples, tables, figures, and lists fast—including Java 9 features such as modular source code and the new JShell interactive command-line REPL. It’s a handy companion, whether you’re in the office, in the lab, or on the road.
    This book also provides material to help you prepare for the Oracle Certified Associate Java Programmer exam.
    Quickly find Java language details, such as naming conventions, types, statements and blocks, and object-oriented programming Get details on the Java SE platform, including development basics, memory management, concurrency, and generics Use new features in Java 9, including modular source code and JShell Browse through information on basic input/output, NIO 2.0, the Java collections framework, and the Java Scripting API Get supplemental references to fluent APIs, third-party tools, and basics of the Unified Modeling Language (UML)

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  8. RxSwift: Reactive Programming with Swift + Code

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    Title : RxSwift: Reactive Programming with Swift + Code
    Author: Florent Pillet, Junior Bontognali, Marin Todorov & Scott Gardner
    Genre : Programming, Mobile
    Publication Date: 2017
    Format: pdf
     
    설명
    Learn reactive programming in Swift with RxSwift!
    The popularity of reactive programming continues to grow on an ever-increasing number of platforms and languages. Rx lets developers easily and quickly build apps with code that can be understood by other Rx developers — even over different platforms.
    Not only will you learn how to use the RxSwift port to create complex reactive applications on iOS, you’ll also see how to easily solve common application design issues by using RxSwift. Finally, you’ll discover how to exercise full control over the library and leverage the full power of reactive programming in your apps.

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  9. Mastering Python Networking

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    Title : Mastering Python Networking
    Author: Chou E.
    Genre : Programming
    Publication Date: 2017-06-28
    Format: pdf
     
    설명
    This book begins with a review of the TCP/ IP protocol suite and a refresher of the core elements of the Python language. Next, you will start using Python and supported libraries to automate network tasks from the current major network vendors. We will look at automating traditional network devices based on the command-line interface, as well as newer devices with API support, with hands-on labs. We will then learn the concepts and practical use cases of the Ansible framework in order to achieve your network goals.
    We will then move on to using Python for DevOps, starting with using open source tools to test, secure, and analyze your network. Then, we will focus on network monitoring and visualization. We will learn how to retrieve network information using a polling mechanism, flow-based monitoring, and visualizing the data programmatically. Next, we will learn how to use the Python framework to build your own customized network web services.
    In the last module, you will use Python for SDN, where you will use a Python-based controller with OpenFlow in a hands-on lab to learn its concepts and applications. We will compare and contrast OpenFlow, OpenStack, OpenDaylight, and NFV. Finally, you will use everything you’ve learned in the book to construct a migration plan to go from a legacy to a scalable SDN-based network.
    What You Will Learn:
    - Review all the fundamentals of Python and the TCP/IP suite
    - Use Python to execute commands when the device does not support the API or programmatic interaction with the device
    - Implement automation techniques by integrating Python with Cisco, Juniper, and Arista eAPI
    - Integrate Ansible using Python to control Cisco, Juniper, and Arista networks
    - Achieve network security with Python
    - Build Flask-based web-service APIs with Python
    - Construct a Python-based migration plan from a legacy to scalable SDN-based network.

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  10. Python Network Programming Cookbook (Second Edition)

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    Title : Python Network Programming Cookbook (Second Edition)
    Author: Kathiravelu P.
    Genre : Programming
    Publication Date: 2017-08-09
    Format: pdf, codehttps://github.com/PacktPublishing/Python-Network-Programming-Cookbook-Second-Edition
     
    설명
    Python Network Programming Cookbook - Second Edition highlights the major aspects of network programming in Python, starting from writing simple networking clients to developing and deploying complex Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) systems. It creates the building blocks for many practical web and networking applications that rely on various networking protocols. It presents the power and beauty of Python to solve numerous real-world tasks in the area of network programming, network and system administration, network monitoring, and web-application development.
    In this edition, you will also be introduced to network modelling to build your own cloud network. You will learn about the concepts and fundamentals of SDN and then extend your network with Mininet. Next, you’ll find recipes on Authentication, Authorization, and Accounting (AAA) and open and proprietary SDN approaches and frameworks. You will also learn to configure the Linux Foundation networking ecosystem and deploy and automate your networks with Python in the cloud and the Internet scale.
    By the end of this book, you will be able to analyze your network security vulnerabilities using advanced network packet capture and analysis techniques.
    What You Will Learn:
    - Develop TCP/IP networking client/server applications
    - Administer local machines' IPv4/IPv6 network interfaces
    - Write multi-purpose efficient web clients for HTTP and HTTPS protocols
    - Perform remote system administration tasks over Telnet and SSH connections
    - Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs
    - Monitor and analyze major common network security vulnerabilities
    - Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers
    - Emulate simple and complex networks with Mininet and its extensions for network and systems emulations
    - Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments
    - Explore various Python modules to program the Internet

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