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Podcasty
Building Apple Watch Projects. Click here to enter text
With Apple’s eagerly anticipated entry into the wearable arena, the field is wide open for a new era of app development. The Apple Watch is one of the most important technologies of our time. This easy-to-understand book takes beginners on a delightful journey of discovering the features available to the developer, right up to the completion of medium-level projects ready for App Store submission. It provides the fastest way to develop real-world apps for the Apple Watch by teaching you the concepts of Watch UI, visual haptic and audio, message and data exchange between watch and phone, Web communication, and finally Visual, haptic as well as audio feedback for users.By the end of this book, you will have developed at least four fully functioning apps for deployment on watchOS 2.
Tableau has for some time been one of the most popular Business Intelligence and data visualization tools available. Why? Because, quite simply, it’s a tool that’s responsive to the needs of modern businesses. But it’s most effective when you know how to get what you want from it – it might make your business intelligent, but it isn’t going to make you intelligent…We’ll make sure you’re well prepared to take full advantage of Tableau 10’s new features. Whether you’re an experienced data analyst that wants to explore 2016’s new Tableau, or you’re a beginner that wants to expand their skillset and bring a more professional and sharper approach to their organization, we’ve got you covered. Beginning with the fundamentals, such as data preparation, you’ll soon learn how to build and customize your own data visualizations and dashboards, essential for high-level visibility and effective data storytelling. You’ll also find out how to so trend analysis and forecasting using clustering and distribution models to inform your analytics. But it’s not just about you – when it comes to data it’s all about availability and access. That’s why we’ll show you how to share your Tableau visualizations. It’s only once insights are shared and communicated that you – and your organization – will start making smarter and informed decisions. And really, that’s exactly what this guide is for.
Instant jsoup How-to. Effectively extract and manipulate HTML content with the jsoup library
As you might know, there are a lot of Java libraries that support parsing HTML content out there. Jsoup is yet another HTML parsing library, but it provides a lot of functionalities and boasts much more interesting features when compared to others. Give it a try, and you will see the difference!Instant jsoup How-to provides simple and detailed instructions on how to use the Jsoup library to manipulate HTML content to suit your needs. You will learn the basic aspects of data crawling, as well as the various concepts of Jsoup so you can make the best use of the library to achieve your goals.Instant jsoup How-to will help you learn step-by-step using real-world, practical problems. You will begin by learning several basic topics, such as getting input from a URL, a file, or a string, as well as making use of DOM navigation to search for data. You will then move on to some advanced topics like how to use the CSS selector and how to clean dirty HTML data. HTML data is not always safe, and because of that, you will learn how to sanitize the dirty documents to prevent further XSS attacks.Instant jsoup How-to is a book for every Java developer who wants to learn HTML manipulation quickly and effectively. This book includes the sample source code for you to refer to with a detailed explanation of every feature of the library.
Most people associate security with network security and focus on firewalls and network monitoring. However, there is more to security than that. Security starts with the establishment of a stable environment, protecting this environment not only from intrusion, but also from malicious intent. It is about tracking the issue and recovering from it. These elements of security are what this book aims to address.VMware View Security Essentials addresses the topic of security in the corporate environment in a new way. It starts with the underlying virtual infrastructure and then delves into securing your base, your connection, and your client. This is not only a “how-to” book, but is also a book that explains the background and the insights of View security for the experienced professional's desktop virtualization.This book takes you through the four major View security areas. Each area deals with all the aspects of security and explains the background as well as laying out simple-to-follow recipes to implement a higher security standard.We start at the Virtualization base and work our way through the various View server types. We will then dive into the problems and issues of securing a connection before we address the security of the desktop itself. We conclude with a look into the backing up of our View installation and preparing for disaster recovery.
Jira Align is a platform purpose-built for enterprises to connect strategy with execution and drive transparency, consistency, and predictability at all levels of scale. The platform supports business value delivery in agile frameworks such as LeSS, DAD, and SAFe. It also caters to organizations that mix agile with waterfall to support scaled bimodal delivery.Starting with an introduction to the platform and its features, this book takes you through the foundational building blocks of Jira Align. You’ll learn how an organization can benefit from implementing Jira Align and understand how to connect dimensions such as people, work, time, and outcomes. The book takes you through the typical steps for implementing Jira Align for maximizing outcomes and helps you solve common team, program, and portfolio-level challenges by enhancing visibility, tracking dependencies and risks, and using reports for real-time, distributed decision making. Throughout the book, you’ll explore features such as remote agile ceremonies, live roadmaps, and objectives and key results (OKRs). You’ll also get to grips with lean portfolio management, financial reporting, and using the program board for planning and execution.By the end of this book, you’ll be well versed in the key features of Jira Align and be able to leverage them to support all levels of agile at scale.
Linux is a unified kernel that is widely used to develop embedded systems. As Linux has turned out to be one of the most popular operating systems worldwide, the interest in developing proprietary device drivers has also increased. Device drivers play a critical role in how the system performs and ensure that the device works in the manner intended. By exploring several examples on the development of character devices, the technique of managing a device tree, and how to use other kernel internals, such as interrupts, kernel timers, and wait queue, you’ll be able to add proper management for custom peripherals to your embedded system.You’ll begin by installing the Linux kernel and then configuring it. Once you have installed the system, you will learn to use different kernel features and character drivers. You will also cover interrupts in-depth and understand how you can manage them. Later, you will explore the kernel internals required for developing applications. As you approach the concluding chapters, you will learn to implement advanced character drivers and also discover how to write important Linux device drivers.By the end of this book, you will be equipped with the skills you need to write a custom character driver and kernel code according to your requirements.
Getting Started with RethinkDB. Click here to enter text
RethinkDB is a high-performance document-oriented database with a unique set of features. This increasingly popular NoSQL database is used to develop real-time web applications and, together with Node.js, it can be used to easily deploy them to the cloud with very little difficulty.Getting Started with RethinkDB is designed to get you working with RethinkDB as quickly as possible. Starting with the installation and configuration process, you will learn how to start importing data into the database and run simple queries using the intuitive ReQL query language.After successfully running a few simple queries, you will be introduced to other topics such as clustering and sharding. You will get to know how to set up a cluster of RethinkDB nodes and spread database load across multiple machines. We will then move on to advanced queries and optimization techniques. You will discover how to work with RethinkDB from a Node.js environment and find out all about deployment techniques.Finally, we’ll finish by working on a fully-fledged example that uses the Node.js framework and advanced features such as Changefeeds to develop a real-time web application.
Bruce M. Van Horn II, Van Symons
As a software developer, you need to learn new languages and simultaneously get familiarized with the programming paradigms and methods of leveraging patterns, as both a communications tool and an advantage when designing well-written, easy-to-maintain code. Design patterns, being a collection of best practices, provide the necessary wisdom to help you overcome common sets of challenges in object-oriented design and programming.This practical guide to design patterns helps C# developers put their programming knowledge to work. The book takes a hands-on approach to introducing patterns and anti-patterns, elaborating on 14 patterns along with their real-world implementations. Throughout the book, you'll understand the implementation of each pattern, as well as find out how to successfully implement those patterns in C# code within the context of a real-world project.By the end of this design patterns book, you’ll be able to recognize situations that tempt you to reinvent the wheel, and quickly avoid the time and cost associated with solving common and well-understood problems with battle-tested design patterns.
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes
Google Cardboard is a low-cost, entry-level media platform through which you can experience virtual reality and virtual 3D environments. Its applications are as broad and varied as mobile smartphone applications themselves. This book will educate you on the best practices and methodology needed to build effective, stable, and performant mobile VR applications.In this book, we begin by defining virtual reality (VR) and how Google Cardboard fits into the larger VR and Android ecosystem. We introduce the underlying scientific and technical principles behind VR, including geometry, optics, rendering, and mobile software architecture. We start with a simple example app that ensures your environment is properly set up to write, build, and run the app. Then we develop a reusable VR graphics engine that you can build upon. And from then on, each chapter is a self-contained project where you will build an example from a different genre of application, including a 360 degree photo viewer, an educational simulation of our solar system, a 3D model viewer, and a music visualizer.Given the recent updates that were rolled out at Google I/O 2016, the authors of Cardboard VR Projects for Android have collated some technical notes to help you execute the projects in this book with Google VR Cardboard Java SDK 0.8, released in May 2016. Refer to the article at https://www.packtpub.com/sites/default/files/downloads/GoogleVRUpdateGuideforCardbook.pdf which explains the updates to the source code of the projects.
Professional web development implies systematic testing. While JavaScript unit tests will validate your JavaScript library’s quality, web functional testing is the only way to guarantee the expected behavior of your web pages. CasperJS is a fast and simple JavaScript testing API that can run on any platform, and it is currently one of the best and easiest ways to write your functional tests.Instant Testing with CasperJS will teach you how to write efficient and accurate tests for your professional web developments. This practical guide explains the various different CasperJS principles through clear and detailed examples, covering a large set of common use cases. This book will progressively cover everything you need to know from CasperJS basic principles to the most advanced testing practices.This book starts off by introducing you to the different testing assertions that you can perform with the CasperJS API. We will then move on to cover why bad timing between event triggering can ruin tests and learn strategies to avoid it. Finally, you will learn how to test efficient and complex web interactions like drag and drop, authentication, and file uploading. With Instant Testing with CasperJS, you will be able to set up an advanced and functional test suite for your web development projects quickly and efficiently.
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data.You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you're looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data.
Christoph Körner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps.The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning.The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets.By the end of this book, you’ll be able to combine all the steps you’ve learned by building an MLOps pipeline.
Discover the user-friendly interface and versatility of Tinkercad and find out how it’s revolutionizing digital creation. This comprehensive guide explores Tinkercad’s 3D design features, equipping you with the skills to harness its full potential for advanced projects and creations. Written by a patented inventor and Tinkercad expert with over a decade of experience in technology education, this book offers an accessible, yet thorough approach to mastering Tinkercad for users of all levels.You'll enhance your 3D design skills as you delve into professional modeling topics and techniques in Tinkercad. As you progress, you’ll build your skills by mastering essential tools for 3D modeling, such as technical drawings and measurement methods, paving the way for efficient constructive solid geometry abilities. Advanced Tinkercad modeling techniques, including ruler and workplane tools, patterns, and shape generators, will guide you in bringing your designs to life through 3D printing. You'll also learn about advanced concepts such as tolerances, dimensions, material choice, and practical applications with step-by-step guides for creating items like threaded containers, puzzles, phone cases, and more.By the end of the book, you’ll be proficient in crafting intricate designs ready for successful production through 3D printing.
R: Unleash Machine Learning Techniques. Smarter data analytics
Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali
R is the established language of data analysts and statisticians around the world. And you shouldn’t be afraid to use it…This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you’ll get to grips with the fundamentals of R. This means you’ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.For the following two modules we’ll begin to investigate machine learning algorithms in more detail. To build upon the basics, you’ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they’re all focused on solving real problems in different areas, ranging from finance to social media.This Learning Path has been curated from three Packt products:• R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar• Machine Learning with R - Second Edition By Brett Lantz• Mastering Machine Learning with R By Cory Lesmeister
Karan Singh, Andreas Jaeger, Richard Siggs
Ceph is a unified, distributed storage system designed for excellent performance, reliability, and scalability. This cutting-edge technology has been transforming the storage industry, and is evolving rapidly as a leader in software-defined storage space, extending full support to cloud platforms such as Openstack and Cloudstack, including virtualization platforms. It is the most popular storage backend for Openstack, public, and private clouds, so is the first choice for a storage solution. Ceph is backed by RedHat and is developed by a thriving open source community of individual developers as well as several companies across the globe.This book takes you from a basic knowledge of Ceph to an expert understanding of the most advanced features, walking you through building up a production-grade Ceph storage cluster and helping you develop all the skills you need to plan, deploy, and effectively manage your Ceph cluster. Beginning with the basics, you’ll create a Ceph cluster, followed by block, object, and file storage provisioning. Next, you’ll get a step-by-step tutorial on integrating it with OpenStack and building a Dropbox-like object storage solution. We’ll also take a look at federated architecture and CephFS, and you’ll dive into Calamari and VSM for monitoring the Ceph environment. You’ll develop expert knowledge on troubleshooting and benchmarking your Ceph storage cluster. Finally, you’ll get to grips with the best practices to operate Ceph in a production environment.
jQuery Design Patterns. Write Elegant, Structured and Efficient jQuery
jQuery is a feature-rich JavaScript library that makes HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a variety of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.jQuery solves the problems of DOM manipulation, event detection, AJAX calls, element selection and document queries, element attribute and data management, as well as object management utilities. This book addresses these problems and shows you how to make the best of jQuery through the various design patterns available.The book starts off with a refresher to jQuery and will then take you through the different design patterns such as facade, observer, publisher/subscriber, and so on. We will also go into client-side templating techniques and libraries, as well as some plugin development patterns. Finally, we will look into some best practices that you can use to make the best of jQuery.
The DevOps Career Handbook. The ultimate guide to pursuing a successful career in DevOps
DevOps is a set of practices that make up a culture, and practicing DevOps methods can make developers more productive and easier to work with. The DevOps Career Handbook is filled with hundreds of tips and tricks from experts regarding every step of the interview process, helping you save time and money by steering clear of avoidable mistakes.You’ll learn about the various career paths available in the field of DevOps, before acquiring the essential skills needed to begin working as a DevOps professional. If you are already a DevOps engineer, this book will help you to gain advanced skills to become a DevOps specialist. After getting to grips with the basics, you'll discover tips and tricks for preparing your resume and online profiles and find out how to build long-lasting relationships with the recruiters. Finally, you'll read through interviews which will give you an insight into a career in DevOps from the viewpoint of individuals at different career levels.By the end of this DevOps book, you’ll gain a solid understanding of what DevOps is, the various DevOps career paths, and how to prepare for your interview.
William Lo, Raymond Chun Hing Lo
OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications.This book provides a series of easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac OS X, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion.By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices.
Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.
Yohan Wadia, Naveen Kumar Vijayakumar
AWS is at the forefront of Cloud Computing today. Many businesses are moving away from traditional datacenters and toward AWS because of its reliability, vast service offerings, lower costs, and high rate of innovation. Because of its versatility and flexible design, AWS can be used to accomplish a variety of simple and complicated tasks such as hosting multitier websites, running large scale parallel processing, content delivery, petabyte storage and archival, and lots more.Whether you are a seasoned sysadmin or a rookie, this book will provide you with all the necessary skills to design, deploy, and manage your applications on the AWS cloud platform. The book guides you through the core AWS services such as IAM, EC2, VPC, RDS, and S3 using a simple real world application hosting example that you can relate to. Each chapter is designed to provide you with the most information possible about a particular AWS service coupled with easy to follow hands-on steps, best practices, tips, and recommendations. By the end of the book, you will be able to create a highly secure, fault tolerant, and scalable environment for your applications to run on.
Flair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings.Natural Language Processing with Flair takes a hands-on approach to explaining and solving real-world NLP problems. You'll begin by installing Flair and learning about the basic NLP concepts and terminology. You will explore Flair's extensive features, such as sequence tagging, text classification, and word embeddings, through practical exercises. As you advance, you will train your own sequence labeling and text classification models and learn how to use hyperparameter tuning in order to choose the right training parameters. You will learn about the idea behind one-shot and few-shot learning through a novel text classification technique TARS. Finally, you will solve several real-world NLP problems through hands-on exercises, as well as learn how to deploy Flair models to production.By the end of this Flair book, you'll have developed a thorough understanding of typical NLP problems and you’ll be able to solve them with Flair.