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  1. taking

    Java 9 Cookbook

    Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. 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
  2. taking

    Java 9 Cookbook

    View File Java 9 Cookbook 개인 소장용이므로, 현재 다운로드가 불가능합니다. 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 Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  3. Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. 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
  4. View File Spring Developing Java Applications for the Enterprise 개인 소장용이므로, 현재 다운로드가 불가능합니다. 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 Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  5. Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. 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
  6. View File Computer Vision with Python 3 개인 소장용이므로, 현재 다운로드가 불가능합니다. 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 Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  7. Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Getting Started with Unity 5.x 2D Game Development Author: Sapio F. Genre : Game Publication Date: 2017-02-10 Format: pdf 설명 Want to get started in the world of 2D game development with Unity? This book will take your hand and guide you through this amazing journey to let you know exactly what you need to build the games you want to build, without sacrificing quality. You will build a solid understanding of Unity 5.x, by focusing with the embedded tools to develop 2D games. In learning about these, along with accurate explanations and practical examples, you will design, develop, learn how to market and publish a delectable Tower Defense game about cupcakes versus pandas. Each chapter in this book is structured to give you a full understanding on a specific aspect of the workflow pipeline. Each of these aspects are essential for developing games in Unity. In a step-by-step approach, you will learn about each of the following phases: Game Design, Asset Importing, Scripting, User Interfaces, Animations, Physics, Artificial Intelligence, Gameplay Programming, Polishing and Improving, Marketing, Publishing and much more. This book provides you with exercises and homework at the end of each chapter so that you can level up your skills as a Unity game developer. In addition, each of these parts are centered on a common point of discussion with other learners just like you. Therefore, by sharing your ideas with other people you will not only develop your skills but you will also build a network. What You Will Learn: - Import and set up assets for 2D game development - Design and implement dynamic and responsive User Interfaces - Create and handle complex animation systems - Unlock all the potentiality of the physics engine - Implement Artificial Intelligence algorithms to give intelligence to your NPCs - Script gameplay and overall bring your ideas to life
  8. View File Getting Started with Unity 5.x 2D Game Development 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Getting Started with Unity 5.x 2D Game Development Author: Sapio F. Genre : Game Publication Date: 2017-02-10 Format: pdf 설명 Want to get started in the world of 2D game development with Unity? This book will take your hand and guide you through this amazing journey to let you know exactly what you need to build the games you want to build, without sacrificing quality. You will build a solid understanding of Unity 5.x, by focusing with the embedded tools to develop 2D games. In learning about these, along with accurate explanations and practical examples, you will design, develop, learn how to market and publish a delectable Tower Defense game about cupcakes versus pandas. Each chapter in this book is structured to give you a full understanding on a specific aspect of the workflow pipeline. Each of these aspects are essential for developing games in Unity. In a step-by-step approach, you will learn about each of the following phases: Game Design, Asset Importing, Scripting, User Interfaces, Animations, Physics, Artificial Intelligence, Gameplay Programming, Polishing and Improving, Marketing, Publishing and much more. This book provides you with exercises and homework at the end of each chapter so that you can level up your skills as a Unity game developer. In addition, each of these parts are centered on a common point of discussion with other learners just like you. Therefore, by sharing your ideas with other people you will not only develop your skills but you will also build a network. What You Will Learn: - Import and set up assets for 2D game development - Design and implement dynamic and responsive User Interfaces - Create and handle complex animation systems - Unlock all the potentiality of the physics engine - Implement Artificial Intelligence algorithms to give intelligence to your NPCs - Script gameplay and overall bring your ideas to life Submitter taking Submitted 2017년 12월 19일 카테고리 Game  
  9. taking

    OpenStack for Architects

    Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenStack for Architects Author: Solberg M., Silverman B. Genre : Server Publication Date: 2017-02-06 Format: pdf 설명 Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. What You Will Learn: - Familiarize yourself with the components of OpenStack - Build an increasingly complex OpenStack lab deployment - Write compelling documentation for the architecture teams within your organization - Apply Agile configuration management techniques to deploy OpenStack - Integrate OpenStack with your organization's identity management, provisioning, and billing systems - Configure a robust virtual environment for users to interact with - Use enterprise security guidelines for your OpenStack deployment - Create a product roadmap that delivers functionality quickly to the users of your platform
  10. taking

    OpenStack for Architects

    View File OpenStack for Architects 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenStack for Architects Author: Solberg M., Silverman B. Genre : Server Publication Date: 2017-02-06 Format: pdf 설명 Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. What You Will Learn: - Familiarize yourself with the components of OpenStack - Build an increasingly complex OpenStack lab deployment - Write compelling documentation for the architecture teams within your organization - Apply Agile configuration management techniques to deploy OpenStack - Integrate OpenStack with your organization's identity management, provisioning, and billing systems - Configure a robust virtual environment for users to interact with - Use enterprise security guidelines for your OpenStack deployment - Create a product roadmap that delivers functionality quickly to the users of your platform Submitter taking Submitted 2017년 12월 19일 카테고리 Server  
  11. taking

    Mastering Python Networking

    Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. 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.
  12. taking

    Mastering Python Networking

    View File Mastering Python Networking 개인 소장용이므로, 현재 다운로드가 불가능합니다. 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. Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  13. View File Python Network Programming Cookbook (Second Edition) 개인 소장용이므로, 현재 다운로드가 불가능합니다. 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 Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  14. Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. 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
  15. taking

    F# High Performance

    Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : F# High Performance Author: Kusumawardhono E. Genre : Programming Publication Date: 2017-01-18 Format: pdf, code 설명 F# is a functional programming language and is used in enterprise applications that demand high performance. It has its own unique trait: it is a functional programming language and has OOP support at the same time. This book will help you make F# applications run faster with examples you can easily break down and take into your own work. You will be able to assess the performance of the program and identify bottlenecks. Beginning with a gentle overview of concurrency features in F#, you will get to know the advanced topics of concurrency optimizations in F#, such as F# message passing agent of MailboxProcessor and further interoperation with .NET TPL. Based on this knowledge, you will be able to enhance the performance optimizations when implementing and using other F# language features. The book also covers optimization techniques by using F# best practices and F# libraries. You will learn how the concepts of concurrency and parallel programming will help in improving the performance. With this, you would be able to take advantage of multi-core processors and track memory leaks, root causes, and CPU issues. Finally, you will be able to test their applications to achieve scalability. What You Will Learn: - Understand how the execution of functions in F# works - Identify common performance bottlenecks - Implement best practices to optimize performance - Use the available tooling to help measure performance - Combine the best practice of asynchronous and synchronous - Optimize further using various F# language constructs
  16. taking

    F# High Performance

    View File F# High Performance 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : F# High Performance Author: Kusumawardhono E. Genre : Programming Publication Date: 2017-01-18 Format: pdf, code 설명 F# is a functional programming language and is used in enterprise applications that demand high performance. It has its own unique trait: it is a functional programming language and has OOP support at the same time. This book will help you make F# applications run faster with examples you can easily break down and take into your own work. You will be able to assess the performance of the program and identify bottlenecks. Beginning with a gentle overview of concurrency features in F#, you will get to know the advanced topics of concurrency optimizations in F#, such as F# message passing agent of MailboxProcessor and further interoperation with .NET TPL. Based on this knowledge, you will be able to enhance the performance optimizations when implementing and using other F# language features. The book also covers optimization techniques by using F# best practices and F# libraries. You will learn how the concepts of concurrency and parallel programming will help in improving the performance. With this, you would be able to take advantage of multi-core processors and track memory leaks, root causes, and CPU issues. Finally, you will be able to test their applications to achieve scalability. What You Will Learn: - Understand how the execution of functions in F# works - Identify common performance bottlenecks - Implement best practices to optimize performance - Use the available tooling to help measure performance - Combine the best practice of asynchronous and synchronous - Optimize further using various F# language constructs Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  17. taking

    Implementing DevOps on AWS

    Version 1.0.0

    0 downloads

    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Implementing DevOps on AWS Author: Kantsev V. Genre : Server Publication Date: 2017-01-24 Format: pdf 설명 Bring the best out of DevOps and build, deploy, and maintain applications on AWS. Knowing how to adopt DevOps in your organization is becoming an increasingly important skill for developers, whether you work for a startup, SMB, or an enterprise. This book will help you to drastically reduce the amount of time spent on development and increase the reliability of your software deployments on AWS using popular DevOps methods of automation. You will get familiar with the concept of IaC and will learn to design, deploy and maintain AWS infrastructure. Going further, you’ll learn how to design and deploy a Continuous Integration platform on AWS using either open-source or AWS provided tools/services. Following on from the Delivery part of the process, you will learn how to deploy a newly created, tested and verified artefact to the AWS infrastructure without manual intervention. You will then learn what to consider in order to make the implementation of Configuration Management easier and more effective. Towards the end, you will get to know the tricks and tips to optimize and secure your AWS environment. By the end of the book, you will master the art of applying AWS to DevOps in your organization. What you will learn: ● Design and deploy infrastructure as code within your AWS Virtual Private Cloud ● Implement Continuous Integration using AWS Services ● Manage EC2 instances using SaltStack and OpsWorks ● Implement Continuous Deployment using AWS CodePipeline, AWS CodeDeploy ● Collect important metrics and log data to gain more insight into infrastructure and applications ● Troubleshooting popular issues with some less known techniques using the AWS platform
  18. taking

    Implementing DevOps on AWS

    View File Implementing DevOps on AWS 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Implementing DevOps on AWS Author: Kantsev V. Genre : Server Publication Date: 2017-01-24 Format: pdf 설명 Bring the best out of DevOps and build, deploy, and maintain applications on AWS. Knowing how to adopt DevOps in your organization is becoming an increasingly important skill for developers, whether you work for a startup, SMB, or an enterprise. This book will help you to drastically reduce the amount of time spent on development and increase the reliability of your software deployments on AWS using popular DevOps methods of automation. You will get familiar with the concept of IaC and will learn to design, deploy and maintain AWS infrastructure. Going further, you’ll learn how to design and deploy a Continuous Integration platform on AWS using either open-source or AWS provided tools/services. Following on from the Delivery part of the process, you will learn how to deploy a newly created, tested and verified artefact to the AWS infrastructure without manual intervention. You will then learn what to consider in order to make the implementation of Configuration Management easier and more effective. Towards the end, you will get to know the tricks and tips to optimize and secure your AWS environment. By the end of the book, you will master the art of applying AWS to DevOps in your organization. What you will learn: ● Design and deploy infrastructure as code within your AWS Virtual Private Cloud ● Implement Continuous Integration using AWS Services ● Manage EC2 instances using SaltStack and OpsWorks ● Implement Continuous Deployment using AWS CodePipeline, AWS CodeDeploy ● Collect important metrics and log data to gain more insight into infrastructure and applications ● Troubleshooting popular issues with some less known techniques using the AWS platform Submitter taking Submitted 2017년 12월 19일 카테고리 Server  
  19. taking

    Xamarin 4 By Example

    Version 1.0.0

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    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Xamarin 4 By Example Author: Bortolu M., Polat E. Genre : Mobile Publication Date: 2016-08-30 Format: pdf 설명 The mobile app market is increasing exponentially every year. Xamarin Studio with its modern and powerful IDEs makes creating applications a lot easier by simplifying the development process. Xamarin will allow you and your team to create native applications by taking advantage of one of the most evolved programming language in the world: C#. This book will provide you with the basic skills you need to start developing mobile apps using C# and Xamarin. By working through the examples in each chapter, you will gain hands-on experience of creating a complete app that is fully functional by all means. Finally, you will learn to publish the app you created on the app market. Each project in this book will take you one step closer to becoming a professional app developer. What You Will Learn: - Understand the software development lifecycle for mobile applications - Use Xamarin Studio and its wide range of features to write your programs in C# - Use different options to create multi-platform applications using Xamarin and develop a cross-platform extension method - Work with Xamarin forms and various UI controls - Integrate synchronous and asynchronous communication module within your app - Render images to work with Android and iOS - Link a third-party application to your solution
  20. taking

    Xamarin 4 By Example

    View File Xamarin 4 By Example 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Xamarin 4 By Example Author: Bortolu M., Polat E. Genre : Mobile Publication Date: 2016-08-30 Format: pdf 설명 The mobile app market is increasing exponentially every year. Xamarin Studio with its modern and powerful IDEs makes creating applications a lot easier by simplifying the development process. Xamarin will allow you and your team to create native applications by taking advantage of one of the most evolved programming language in the world: C#. This book will provide you with the basic skills you need to start developing mobile apps using C# and Xamarin. By working through the examples in each chapter, you will gain hands-on experience of creating a complete app that is fully functional by all means. Finally, you will learn to publish the app you created on the app market. Each project in this book will take you one step closer to becoming a professional app developer. What You Will Learn: - Understand the software development lifecycle for mobile applications - Use Xamarin Studio and its wide range of features to write your programs in C# - Use different options to create multi-platform applications using Xamarin and develop a cross-platform extension method - Work with Xamarin forms and various UI controls - Integrate synchronous and asynchronous communication module within your app - Render images to work with Android and iOS - Link a third-party application to your solution Submitter taking Submitted 2017년 12월 19일 카테고리 Mobile  
  21. Version 1.0.0

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    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenCV : Computer Vision Projects with Python Author: Howse J., Joshi P., Beyeler M. Genre : Programming Publication Date: 2016-10-24 Format: pdf 설명 OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3’s Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we’ll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. 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: - OpenCV Computer Vision with Python by Joseph Howse - OpenCV with Python By Example by Prateek Joshi - OpenCV with Python Blueprints by Michael Beyeler What You Will Learn: - Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu - Apply “curves” and other color transformations to simulate the look of old photos, movies, or video games - Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image - Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor - Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques - Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) - Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs - Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features
  22. View File OpenCV : Computer Vision Projects with Python 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenCV : Computer Vision Projects with Python Author: Howse J., Joshi P., Beyeler M. Genre : Programming Publication Date: 2016-10-24 Format: pdf 설명 OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3’s Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we’ll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. 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: - OpenCV Computer Vision with Python by Joseph Howse - OpenCV with Python By Example by Prateek Joshi - OpenCV with Python Blueprints by Michael Beyeler What You Will Learn: - Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu - Apply “curves” and other color transformations to simulate the look of old photos, movies, or video games - Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image - Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor - Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques - Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) - Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs - Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  
  23. Version 1.0.0

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    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : Learning OpenCV 3 Computer Vision with Python (Second Edition) Author: Minichino J., Howse J. Genre : Programming Publication Date: 2017-02-24 Format: pdf, code 설명 OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance. Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application. What You Will Learn: - Install and familiarize yourself with OpenCV 3's Python API - Grasp the basics of image processing and video analysis - Identify and recognize objects in images and videos - Detect and recognize faces using OpenCV - Train and use your own object classifiers - Learn about machine learning concepts in a computer vision context - Work with artificial neural networks using OpenCV - Develop your own computer vision real-life application
  24. Version 1.0.0

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    개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenCV 3 Computer Vision Application Programming Cookbook Author: Laganiere R. Genre : Programming Publication Date: 2017-02-09 Format: pdf, code 설명 Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3. Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification. What you will learn ● Install and create a program using the OpenCV library ● Process an image by manipulating its pixels ● Analyze an image using histograms ● Segment images into homogenous regions and extract meaningful objects ● Apply image filters to enhance image content ● Exploit the image geometry in order to relay different views of a pictured scene ● Calibrate the camera from different image observations ● Detect faces and people in images using machine learning techniques OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
  25. View File OpenCV 3 Computer Vision Application Programming Cookbook 개인 소장용이므로, 현재 다운로드가 불가능합니다. Title : OpenCV 3 Computer Vision Application Programming Cookbook Author: Laganiere R. Genre : Programming Publication Date: 2017-02-09 Format: pdf, code 설명 Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3. Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification. What you will learn ● Install and create a program using the OpenCV library ● Process an image by manipulating its pixels ● Analyze an image using histograms ● Segment images into homogenous regions and extract meaningful objects ● Apply image filters to enhance image content ● Exploit the image geometry in order to relay different views of a pictured scene ● Calibrate the camera from different image observations ● Detect faces and people in images using machine learning techniques OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. Submitter taking Submitted 2017년 12월 19일 카테고리 Programming  

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