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Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.

Architect and design highly scalable, robust, clean, and highly performant applications in PythonAbout This Book* Identify design issues and make the necessary adjustments to achieve improved performance* Understand practical architectural quality attributes from the perspective of a practicing engineer and architect using Python* Gain knowledge of architectural principles and how they can be used to provide accountability and rationale for architectural decisionsWho This Book Is ForThis book is for experienced Python developers who are aspiring to become the architects of enterprise-grade applications or software architects who would like to leverage Python to create effective blueprints of applications. What You Will Learn* Build programs with the right architectural attributes* Use Enterprise Architectural Patterns to solve scalable problems on the Web* Understand design patterns from a Python perspective* Optimize the performance testing tools in Python* Deploy code in remote environments or on the Cloud using Python* Secure architecture applications in PythonIn DetailThis book starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you'll get a complete understanding of the different architectural quality requirements that help an architect to build a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will use various techniques such as incorporating DevOps, Continuous Integration, and more to make your application robust. You will understand when and when not to use object orientation in your applications. You will be able to think of the future and design applications that can scale proportionally to the growing business. The focus is on building the business logic based on the business process documentation and which frameworks are to be used when. We also cover some important patterns that are to be taken into account while solving design problems as well as those in relatively new domains such as the Cloud. This book will help you understand the ins and outs of Python so that you can make those critical design decisions that not just live up to but also surpass the expectations of your clients. Style and approachFilled with examples and use cases, this guide takes a no-nonsense approach to help you with everything it takes to become a successful software architect.

Work through recipes to unlock the full potential of the next generation graphics API-VulkanAbout This Book* This book explores a wide range of modern graphics programming techniques and GPU compute methods to make the best use of the Vulkan API* Learn techniques that can be applied to a wide range of platforms desktop, smartphones, and embedded devices* Get an idea on the graphics engine with multi-platform support and learn exciting imaging processing and post-processing techniquesWho This Book Is ForThis book is ideal for developers who know C/C++ languages, have some basic familiarity with graphics programming, and now want to take advantage of the new Vulkan API in the process of building next generation computer graphics. Some basic familiarity of Vulkan would be useful to follow the recipes. OpenGL developers who want to take advantage of the Vulkan API will also find this book useful. What You Will Learn* Work with Swapchain to present images on screen* Create, submit, and synchronize operations processed by the hardware* Create buffers and images, manage their memory, and upload data to them from CPU* Explore descriptor sets and set up an interface between application and shaders* Organize drawing operations into a set of render passes and subpasses* Prepare graphics pipelines to draw 3D scenes and compute pipelines to perform mathematical calculations* Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques* Write shaders in GLSL and convert them into SPIR-V assemblies* Find out about and implement a collection of popular, advanced rendering techniques found in games and benchmarksIn DetailVulkan is the next generation graphics API released by the Khronos group. It is expected to be the successor to OpenGL and OpenGL ES, which it shares some similarities with such as its cross-platform capabilities, programmed pipeline stages, or nomenclature. Vulkan is a low-level API that gives developers much more control over the hardware, but also adds new responsibilities such as explicit memory and resources management. With it, though, Vulkan is expected to be much faster. This book is your guide to understanding Vulkan through a series of recipes. We start off by teaching you how to create instances in Vulkan and choose the device on which operations will be performed. You will then explore more complex topics such as command buffers, resources and memory management, pipelines, GLSL shaders, render passes, and more. Gradually, the book moves on to teach you advanced rendering techniques, how to draw 3D scenes, and how to improve the performance of your applications. By the end of the book, you will be familiar with the latest advanced techniques implemented with the Vulkan API, which can be used on a wide range of platforms. Style and approachThis recipe-based guide will empower you to implement modern graphic programming techniques and help gain a solid understanding of the new Vulkan API.

Raspberry Pi Zero is a super-small and super-affordable product from Raspberry Pi that is packed with a plethora of features and has grabbed the notice of programmers, especially those who use Python.

Practical Computer Vision ProjectsAbout This Book* Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3* Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications* Project-based approach with each chapter being a complete tutorial, showing you how to apply OpenCV to solve complete problemsWho This Book Is ForThis book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book. What You Will Learn* Execute basic image processing operations and cartoonify an image* Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text* Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video* Use OpenCV 3's new 3D visualization framework to illustrate the 3D scene geometry* Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks* Train and predict pattern-recognition algorithms to decide whether an image is a number plate* Use POSIT for the six degrees of freedom head pose* Train a face recognition database using deep learning and recognize faces from that databaseIn DetailAs we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You'll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3. Style and approachThis book takes a project-based approach and helps you learn about the new features by putting them to work by implementing them in your own projects.

Master the art of detecting and averting advanced network security attacks and techniquesAbout This Book* Deep dive into the advanced network security attacks and techniques by leveraging tools such as Kali Linux 2, MetaSploit, Nmap, and Wireshark* Become an expert in cracking WiFi passwords, penetrating anti-virus networks, sniffing the network, and USB hacks* This step-by-step guide shows you how to confidently and quickly detect vulnerabilities for your network before the hacker doesWho This Book Is ForThis book is for network security professionals, cyber security professionals, and Pentesters who are well versed with fundamentals of network security and now want to master it. So whether you're a cyber security professional, hobbyist, business manager, or student aspiring to becoming an ethical hacker or just want to learn more about the cyber security aspect of the IT industry, then this book is definitely for you. What You Will Learn* Use SET to clone webpages including the login page* Understand the concept of Wi-Fi cracking and use PCAP file to obtain passwords* Attack using a USB as payload injector* Familiarize yourself with the process of trojan attacks* Use Shodan to identify honeypots, rogue access points, vulnerable webcams, and other exploits found in the database* Explore various tools for wireless penetration testing and auditing* Create an evil twin to intercept network traffic* Identify human patterns in networks attacksIn DetailComputer networks are increasing at an exponential rate and the most challenging factor organisations are currently facing is network security. Breaching a network is not considered an ingenious effort anymore, so it is very important to gain expertise in securing your network. The book begins by showing you how to identify malicious network behaviour and improve your wireless security. We will teach you what network sniffing is, the various tools associated with it, and how to scan for vulnerable wireless networks. Then we'll show you how attackers hide the payloads and bypass the victim's antivirus. Furthermore, we'll teach you how to spoof IP / MAC address and perform an SQL injection attack and prevent it on your website. We will create an evil twin and demonstrate how to intercept network traffic. Later, you will get familiar with Shodan and Intrusion Detection and will explore the features and tools associated with it. Toward the end, we cover tools such as Yardstick, Ubertooth, Wifi Pineapple, and Alfa used for wireless penetration testing and auditing. This book will show the tools and platform to ethically hack your own network whether it is for your business or for your personal home Wi-Fi. Style and approachThis mastering-level guide is for all the security professionals who are eagerly waiting to master network security skills and protecting their organization with ease. It contains practical scenarios on various network security attacks and will teach you how to avert these attacks.

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book* Explore and create intelligent systems using cutting-edge deep learning techniques* Implement deep learning algorithms and work with revolutionary libraries in Python* Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and moreWho This Book Is ForThis book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. What You Will Learn* Get a practical deep dive into deep learning algorithms* Explore deep learning further with Theano, Caffe, Keras, and TensorFlow* Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines* Dive into Deep Belief Nets and Deep Neural Networks* Discover more deep learning algorithms with Dropout and Convolutional Neural Networks* Get to know device strategies so you can use deep learning algorithms and libraries in the real worldIn DetailWith an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques. Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside. Style and approachPython Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.

If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. While it may be useful to have a basic understanding of Spark, no previous experience is required.

Build, package, and deploy applications as easily manageable and shippable containers. About This Book* Discover the secret to building highly portable apps that run on any machine with Windows Server 2016 anywhere, from laptops, desktop servers, and public or private clouds, without any changes to the code* Build your company cost-effective, container-based apps that support large-scale, virtual cloud environments* The most up-to-date help on the market, offering developers expert guidance in building and shipping high-quality apps, and also helping admins create infrastructure that's simple to maintainWho This Book Is ForThis book is for application developers with a basic programming knowledge of C#, ASP.NET, and PowerShell. IT Administrators or DevOps engineers with basic PowerShell experience can benefit by extending their learning to use PowerShell to manage containers on Windows environments and use additional management tools. What You Will Learn* Build and deploy ASP.NET web applications as Windows Containers on Windows 10 (Desktop) and Azure using Visual Studio 2015, Docker, and PowerShell* Build and manage custom images using Windows Server Core base OS image and Docker CLI, publish images to Docker, tag images, author Docker files, and so on* Create enterprise-scale, production-grade container environments using Redis Cache containers and SQL Server containers with storage volumes, set up custom container networks, continuous integration, and deployment pipelines using VSTS, Azure, and Git* Deploy a composite container environment using Docker Compose on Windows* Learn to build applications using Microsoft's thinnest server platform - Nano Servers. Build custom Nano Server images and Nano Containers using Windows PowerShell and configure using PowerShell Core, DSCIn DetailWindows Server Containers are independent, isolated, manageable and portable application environments which are light weight and shippable. Decomposing your application into smaller manageable components or MicroServices helps in building scalable and distributed application environments. Windows Server Containers have a significant impact on application developers, development operations (DevOps) and infrastructure management teams. Applications can be built, shipped and deployed in a fast-paced manner on an easily manageable and updatable environment. Learning Windows Server Containers teaches you to build simple to advanced production grade container based application using Asp.Net Core, Visual Studio, Azure, Docker and PowerShell technologies. The book teaches you to build and deploy simple web applications as Windows and Hyper-V containers on Windows 10 and Windows Server 2016 on Azure. You will learn to build on top of Windows Container Base OS Images, integrate with existing images from Docker Hub, create custom images and publish to Hub. You will also learn to work with storage containers built using Volumes and SQL Server as container, create and configure custom networks, integrate with Redis Cache containers, configure continuous integration and deployment pipelines using VSTS and Git Repository. Further you can also learn to manage resources for a container, setting up monitoring and diagnostics, deploy composite container environments using Docker Compose on Windows and manage container clusters using Docker Swarm. The last chapter of the book focuses on building applications using Microsoft's new and thinnest server platform - Nano Servers. Style and approachThis hands-on tutorial helps you get started with Windows Server containers, the new trend in the container market. This example-driven guide is packed with real-world scenarios of Windows Server containers in production environments.

SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) is a cloud-based BI platform being delivered under SaaS terms. It is a business intelligence, planning, and predictive cloud-based application, which helps users blend data from different sources, create compelling data visualization, run ad hoc reporting, and more.

Explore recipes to get hands-on with the R statistical programming language's tools to analyze data and create high-level graphics. This Learning Path covers interesting projects focused on analysis, visualization, and machine learning to help you generate professional analysis reports and get to grips with performing data visualization with R.

This Learning Path equips you with the knowledge you need to implement R logic in data science. You'll discover best practices and essential R methods for building intelligent machine learning systems with the help of hands-on exercises and step-by-step explanations.

Penetration testing is the use of tools and code to attack a system in order to assess its vulnerabilities to external threats. Python allows pen testers to create their own tools.This book provides quick Python recipes to let defense analysts work on their own on the path to discovering, and recovering from, vulnerabilities.

Understand, evaluate, and visualize dataAbout This Book* Learn basic steps of data analysis and how to use Python and its packages* A step-by-step guide to predictive modeling including tips, tricks, and best practices* Effectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn* Get acquainted with NumPy and use arrays and array-oriented computing in data analysis* Process and analyze data using the time-series capabilities of Pandas* Understand the statistical and mathematical concepts behind predictive analytics algorithms* Data visualization with Matplotlib* Interactive plotting with NumPy, Scipy, and MKL functions* Build financial models using Monte-Carlo simulations* Create directed graphs and multi-graphs* Advanced visualization with D3In DetailYou will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization-predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis 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:? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan? Learning Predictive Analytics with Python, Ashish Kumar? Mastering Python Data Visualization, Kirthi RamanStyle and approachThe course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization

The ESP8266 Wi-Fi Module is a self contained System on Chip (SOC) with an integrated TCP/IP protocol stack and can give any microcontroller access to your Wi-Fi network. It is capable of either hosting an application or offloading all Wi-Fi networking functions from another application processor.

Microsoft .NET has always been the preferred framework for developing Enterprise applications that target the Windows platform. However, the release of .NET Core empowers senior developers and enterprise architects to think out of the box, and use .NET Core to design and develop robust applications that target multiple platforms.

Java is one of the most used software languages by programmers and developers. It powers massive applications from Google to Amazon all over the world.

101 hands-on recipes that teach you how to build professional, structured web apps with Vue.jsAbout This Book* Understand and use Vue's reactivity system, data binding, and computed properties* Create fluid transitions in your application with Vue's built-in transition system* Use Vuex and Webpack to build medium-to-large scale SPAs and enhance your development workflowWho This Book Is ForThis book is for developers who want to learn about Vue.js through practical examples to quickly and efficiently build modern, interactive web applications. Prior experience and familiarity with JavaScript, HTML, and CSS are recommended as the recipes build upon that knowledge. It will also enable both new and existing Vue.js users to expand their knowledge of the framework. What You Will Learn* Understand the fundamentals of Vue.js through numerous practical examples* Piece together complex web interfaces using the Vue.js component system* Use Webpack and Babel to enhance your development workflow* Manage your application's state using Vuex and see how to structure your projects according to best practices* Seamlessly implement routing in your single page applications using Vue Router* Find out how to use Vue.js with a variety of technologies such as Node.js, Electron, Socket.io, Firebase, and HorizonDB by building complete applicationsIn DetailVue.js is an open source JavaScript library for building modern, interactive web applications. With a rapidly growing community and a strong ecosystem, Vue.js makes developing complex single page applications a breeze. Its component-based approach, intuitive API, blazing fast core, and compact size make Vue.js a great solution to craft your next front-end application. From basic to advanced recipes, this book arms you with practical solutions to common tasks when building an application using Vue. We start off by exploring the fundamentals of Vue.js: its reactivity system, data-binding syntax, and component-based architecture through practical examples. After that, we delve into integrating Webpack and Babel to enhance your development workflow using single file components. Finally, we take an in-depth look at Vuex for state management and Vue Router to route in your single page applications, and integrate a variety of technologies ranging from Node.js to Electron, and Socket.io to Firebase and HorizonDB. This book will provide you with the best practices as determined by the Vue.js community. Style and approachThis book offers detailed, easy-to-follow recipes that will help you harness full potential of Vue.js. The guide will provide you with working code examples for many of the common problems that web developers face. Each recipe is designed to help you quickly understand and solve a particular problem that is commonly faced by developers using Vue.js in a simple and intuitive manner. This book also includes larger recipes to address obstacles arising from building medium-to-large scale applications with Vue.js.

With the ever increasing complexity and scale of modern data centres, powerful solutions are required for their management. This is where CISCO UCS solutions come in .Cisco Unified Computing System is an integrated data centre architecture. It is being widely used to enable centralised management, increase efficiency and reduce costs. Using real...