Search results for ""Author Manny"

DESCRIPTION Docker is impossible to ignore. This lightweight container system is easier to deploy and more flexible than traditional VMs. Built for simplicity and speed, it radically reduces your reliance on manual system administration for tasks like configuring servers, creating disposable (and portable!) development environments, and predictably rolling out applications on unknown systems. While the idea behind Docker is simple, it can have a major impact on how software is developed and deployed. Docker in Practice is a hands-on guide to over 100 specific techniques that can be used to get the most out of Docker. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook offers instantly-useful solutions for important areas like effortless server maintenance and configuration, deploying microservices, creating safe environments for experimentation, and much more. The book takes readers from Docker basics to must-have practices like integrating Docker with Continuous Integration process, automating complex container creation with Chef, and orchestration with Kubernetes. KEY SELLING POINTS Proven strategies for using Docker in dev and CI Covers common and explores two of the most important concepts Goes from development to production Walks through varied and often surprising use cases for Docker AUDIENCE Written for developers and devops engineers who have already started their Docker journey and want to use it effectively in a production setting. ABOUT THE TECHNOLOGY Docker is one of the fastest-adopted technologies in software, and when the likes of RedHat, Microsoft and VMWare all partner with a startup you know it’s going to be big. Docker is cheaper, easier, faster, and more powerful than VMs, and it will affect everyone involved in software sooner rather than later.

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Description Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if you know how to effectively use them, can help create even better apps with clean, crystal-clear code and awesome features. Swift in Depth builds on the reader’s core Swift language skills, introducing them to powerful techniques like using higher-order functions, generics, efficient error handling, and protocol-oriented programming. Key features · Adding advanced Swift features to code · Writing reusable code with generics · Iterators, sequences, and collections Audience Readers should have some prior experience with the basics of Swift. About the technology Apple's Swift is the standard language for iOS and Mac development. It's is a modern marvel—easy to pick up, comfortable to use, and loaded with features. Tjeerd in 't Veen is a senior software engineer and architect who builds iOS apps. Having worked together with many developers, he currently helps creating clean, scalable architectures in the mobile division of a large international banking firm.

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DESCRIPTION Functional programming is a deep and potentially mind-bending discipline. Fortunately, Java developers don't have to master every aspect of FP to get a big boost in the performance, readability, and maintainability of their applications. By learning a few core FP principles, they can write code that's less prone to side effects and unwanted dependencies and which is much better suited to the parallel processing required by modern multi-core and distributed systems. Also, because units of functional code are designed to be modular and independent, FP reduces or eliminates many of the bugs development teams routinely face when managing a large codebase. Functional Programming in Java teaches Java developers how to incorporate the most powerful benefits of functional programming into new and existing Java code. Written to meet the needs of professional Java developers who want to introduce functional programming principles into new and legacy projects, this book uses examples, exercises, and illustrations to teach core FP principles such as referential transparency, immutability, persistence, and laziness. They’ll discover which of the new functionally-inspired features of Java 8 will help in applying FP principles to code—as well as which to avoid. In the end, they’ll be able to think functionally about coding tasks in Java and use FP to make their applications easier to understand, optimize, maintain, and scale. KEY FEATURES • Increases productivity • Easy to grasp examples and illustrations • Written for professional Java developers AUDIENCE Readers need to be comfortable with Java programming. No previous experience with functional programming is required. ABOUT THE TECHNOLOGY Functional programming is gaining momentum, mainly through adoption of new languages such as Scala, Clojure or Groovy, and through the new popularity of older languages such as Haskell or Erlang. And functional programming is coming to Java 8 with the addition of features such as lambda expressions, and Streams.

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HIGHLIGHT A fast-paced, hands-on tutorial that both teaches and entertains readers as they learn Flex 4 while building a complete application. DESCRIPTION Flex 4 is an open-source tool that allows developers to easily add life to web applications with dynamic user features, colorful transitions, and eye-catching animations. Flex also provides powerful data handling for industrial-strength applications. We think it should be just as much fun to learn Flex as it is to use it. And we know that fun learning gets better results. Hello! Flex 4 demonstrates how to get started without getting bogged down in technical detail or academic edge cases. In this book, User Friendly cartoon characters offer commentary and snide side comments, as the book moves quickly from Hello World into practical techniques. Each one is illustrated with a hands-on example. Along the way, readers will build a unique Flex application that mashes Yahoo Maps with Twitter to keep track of friends. KEY POINTS • Demonstrates a complete application built over the course of the book • Entertaining style with User Friendly graphics • Accessible to HTML or web developers without programming experience

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A concise introduction to Hibernate¹s many configuration and design options, this book distills Hibernate into digestible pieces with many code examples, practical usage scenarios, and coverage of the tools available to developers writing Hibernate applications. Using a crawl, walk, run teaching methodology, developers will learn what Hibernate is, what it can do, and how it can be used effectively. New Hibernate features are covered and the provided code examples are incrementally evolved as new concepts are introduced. The examples included would execute from Ant and run as JUnit test cases. An understanding of JUnit is not required and running the code as a series of test cases allows for the easily demonstrated functionality without resorting to a complicated web application. How Hibernate can work with other common development tools and frameworks like XDoclet, Struts, Webwork, Spring, and Tapestry is also discussed as well as writing mapping files and creating associations

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How to create the next generation of cutting-edge web interfaces.Ajax exploded on the scene in the Spring of 2005 when a web site defined the term and Google released Google Maps and GMail, powerful examples of what Ajax can do. Ajax uses familiar web technologies - DHTML, CSS, DOM, and JavaScript - in radically different ways resulting in a much richer user experience. The key to success lies in knowing how to orchestrate them as a coherent whole, splitting off parts of what is normally done by the server and putting it into the browser for instantaneous response to user input. Ajax allows a new breed of web applications with the rich expressiveness of desktop applications.This book helps developers realize that promise - it explains the big picture and how to unlearn many old coding habits. It explains the design patterns and best practices to create a live interface for the user, not get in his way. It also discusses important Ajax issues: how to make good use of ne

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To create web designs that delight, entertain, and impress your users, you need to know CSS in depth!Getting good—really good—at CSS means learning everything that CSS is capable of. This totally revised new edition of CSS in Depth expands your CSS skills with the patterns, layouts, and methods you need to deliver truly beautiful front ends. In CSS in Depth, Second Edition you will learn how to:• Create a web page with layout methods • Develop essential website components, like dropdown menus and dialog boxes • Make your website fully responsive across devices • Organize your CSS for easy future maintenance • Implement designer mockups with attention to detail • Use animations to guide user focus • Avoid common CSS pitfalls The more you know about CSS, the more confident you’ll be at tackling any tricky website design! CSS in Depth has given thousand

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Slinging excellent code is only part of what it takes to succeed as a software developer. You also need to know how to work effectively on a dev team. Code Well with Others is a best practices guide for succeeding on a software development team. Code Well with Others reveals how to optimize both your code and your career, including how to achieve a good work-life balance and write the kind of bug-free code delivered by pros. Build your understanding of testing techniques and tools, get in the habit of meaningfully commenting on code, and discover how proper refactoring can speed up how quickly you deliver features. About the TechnologyEveryone new to the software industry has had to navigate through vague job descriptions, gatekeeping colleagues, and the steep learning curve of coding as part of a team. This book shares twenty years of hard-won lessons, to show you what to expect in tech and how to overcome these common career challenges.

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Spring Boot in Practice covers dozens of handy Spring Boot development techniques, from basic functions to hidden features you probably didn't even know existed. Each recipe is built around a realworld problem, complete with a full solution and thoughtful discussion. You'll work your way from fundamentals to advanced functionalities as you take deep dives into auto-configuration, security implementation, and even support for reactive application development. Learn how to work with Spring Boot and Kotlin, handling connections for multiple platforms, and how Spring Boot can simplify building microservices and APIs. You're sure to keep this practical book on hand as a reference as you build your next Spring Boot apps. About the TechnologySpring is the most popular Java framework for building medium- to enterprise-scale applications. Spring Boot abstracts away complex configurations so you can stay focused on fulfilling business requirements. More than just a “must-learn” technology for anyone building Java-based web applications, Spring Boot has become a “must-master” framework.

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With a huge ecosystem of pre-built game assets, an enthusiastic community of fellow developers, and support for nearly every platform, Unity is a great choice to make your dream game a reality. Unity in Action, Second Edition teaches readers to write and deploy games with the Unity game development platform. Fully updated to include the latest changes to Unity, new best practices, and an entire chapter on building 2D platformers with Unity's expanded 2D toolkit, this book is essential for any aspiring game developer. Key features • Hands-on examples • Clear explanations • Excellent graphics Written for those who know how to program, in C# or a similar OO language. No previous Unity experience or game development knowledge is assumed. Unity is a professional-quality game engine used to create video games targeting a variety of platforms.

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Microservices are responsible for very tightly focused capabilities that are part of a more complex server-side software system. Microservices, when done well, are malleable, scalable, resilient, and allow a short lead time from start of implementation to deployment to production. When using microservices, the need for the technology to be lightweight and low ceremony grows, because creating new microservices needs to be quick and easy. OWIN is great for reuse of plumbing code and a lightweight web framework, like Nancy, is ideal. Microservices in .NET teaches readers how to build and deploy secure and operations-friendly microservices using Nancy. The book starts with an introduction to the microservices architectural style. Next, readers learn important practical aspects of developing microservices from simple core concepts to more sophisticated. Throughout the book, readers will see many code examples implementing it with lightweight .NET technologies—most prominently Nancy. By the end, they’ll be able to quickly and easily build reliable and operations-friendly microservices using Nancy, OWIN and other open technologies. Key Features: • Teaches practical aspects of developing microservices • Full of .NET code examples • Goes from simple core concepts through sophisticated ideas • Easily build reliable and operations-friendly microservices AUDIENCE This book is written for C# developers. No previous experience with microservices is required. ABOUT THE TECHNOLOGY Microservices are responsible for very tightly focused capabilities that are part of a more complex server-side software system. Microservices are malleable, scalable, resilient, and allow a short lead time from start of implementation to deployment to production.

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DESCRIPTION To be competitive, an organization needs to reach modern standards of scalability and high availability. While Linux is an option, it’s painful to deal with the frequent operating system updates and complex configuration management. Docker, a popular container system, can reduce these manual system administration tasks. While plenty of Linux distributions support Docker, they do not handle large scale production. This is where CoreOS can help. CoreOS is an operating system designed from the ground up to facilitate container use at any scale. CoreOS in Action begins by introducing the core components, how services run in CoreOS, and the big picture of how the parts fits together. Next, readers learn how to fire up their own CoreOS cluster. Readers learn how to configure their local environment, the basics of CoreOS system administration, and follow an application deployment example. It covers how to take advantage of CoreOS's high availability and fault tolerance as well as how to plan application architecture. The book also covers operational planning for CoreOS, deployment options, and how to deal with mass storage. Readers will discover endto- end deployment of CoreOS in Amazon Web Services, and learn from real-world examples of application stacks. KEY FEATURES • User friendly book • Offers solid and practical information • Plenty of real-world examples • Fully explains how and why CoreOS operates AUDIENCE This book is for operations professionals, site reliability engineers, systems architects, or anyone who wants to learn to deploy CoreOS. ABOUT THE TECHNOLOGY CoreOS is an operating system designed from the ground up to facilitate container use at any scale. It is fault-tolerant, extremely lightweight, and highly performant. CoreOS is designed to solve a company’s scale, availability, and deployment workflow problems.

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　 For developers working with big data, it's not enough to have a theoretical understanding of Hadoop. They need to solve real challenges like analyzing real-time streams, moving data securely between storage systems, and managing large-scale clusters. The Hadoop ecosystem is constantly growing, and it's important they keep up with the new technologies and practices to stay productive and future-proof data systems. Hadoop in Practice, Second Edition provides over 100 tested, instantly-useful techniques that will help conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN, real-time use cases, and integrating Kafka, Storm, and Spark with Hadoop. There’s also a new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere. 　 RETAIL SELLING POINTS Practical up-to-date coverage Over 100 practical, battle-tested Hadoop techniques Major updates to key technologies AUDIENCE Readers should be familiar with Hadoop and have experience programming in Java or another OOP language. ABOUT THE TECHNOLOGY Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers organizations efficient ways to store, manage, and analyze data.

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DESCRIPTION Wanting mobile apps to run on iOS, Android, and Windows Phone doesn't mean having to write them in three different languages. Apache Cordova provides a common set of APIs to access native device functionality such as the file system, camera, and contacts from apps written in HTML, CSS and Javascript, along with a command line tool to produce the binaries required for multiple mobile platforms. Apache Cordova in Action simplifies the entire process of creating and launching hybrid mobile apps using Cordova or Phonegap. By following carefully selected examples, step by step tutorials, and crystal-clear explanations, readers will learn to build apps from the Cordova CLI and make use of device features like the camera and accelerometer. For those just learning to design mobile apps, the book discusses ways to build mobile friendly, professional-quality UI and UX. Finally, the book covers testing techniques and explains the PhoneGap Build service, along with how to submit applications to Google Play and the Apple App Store. KEY SELLING POINTS Step by step tutorials Crystal clear explanations Simplifies the entire process of app development AUDIENCE Readers need to be familiar with HTML, CSS, and JavaScript. No prior experience with mobile app development is required. ABOUT THE TECHNOLOGY Cordova boasts a vibrant open source plugin ecosystem providing hooks into multiple device features and adding support for multiple different types of applications. Better still, when using Cordova with UI frameworks like jQuery Mobile, Ionic, or Sencha Touch, users can deploy their HTML based apps as native applications on any mobile device.

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According to Apple, there are currently 380,000 registered iOS developers and over a billion iOS devices in use worldwide. Swift, the language of iOS development, is the fastest growing programming language. iOS Development with Swift is a hands-on guide to creating apps for iPhone and iPad using the Swift language. It starts by giving a birdseye view of how an iOS application works and what it takes to build one. With the basics well in hand, the book takes readers through progressively more challenging examples as they learn how to design iOS apps, build good layouts, handle navigation, and interact with the device’s camera. Key Features: · Hands-on guide to creating apps · Teaches the very basics · Rich in examples Written for readers with experience using a language like Java, Python, or C#. No prior iOS development or Swift experience required. About the Technology: Swift is a modern language created by Apple. In 2015 Swift was rated the most loved programming language on Stack Overflow, and it is currently ranked 17 in the programming language rankings guide of January 2016.

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DESCRIPTION Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from Google. The TensorFlow library can take your high level designs and turn them into the low level mathematical operations required by machine learning algorithms. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using TensorFlow. Each chapter zooms into a prominent example of machine learning. Readers can cover them all to master the basics or skip around to cater to their needs. By the end of this book, readers will be able to solve classification, clustering, regression, and prediction problems in the real world. KEY FEATURES • Lots of diagrams, code examples, and exercises • Solves real-world problems with TensorFlow • Uses well-studied neural network architectures • Presents code that can be used for the readers’ own applications AUDIENCE This book is for programmers who have some experience with Python and linear algebra concepts like vectors and matrices. No experience with machine learning is necessary. ABOUT THE TECHNOLOGY Google open-sourced their machine learning framework called TensorFlow in late 2015 under the Apache 2.0 license. Before that, it was used proprietarily by Google in its speech recognition, Search, Photos, and Gmail, among other applications. TensorFlow is one the most popular machine learning libraries.

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Secure your Azure applications the right way with the expert DevSecOps techniques you'll learn in this essential handbook. For software and security engineers building and securing Azure applications. In Azure Security you'll learn vital security skills, including how to: Configure Conditional Access policies to implement secure access Implement Azure Web Application Firewall (WAF) on Application Gateway and Azure Front Door Deploy Azure Firewall Premium to monitor network activities for malicious activity Enable Microsoft Defender for Cloud to continuously assess your workloads for misconfiguration Use Microsoft Sentinel to create analytics rules to detect threats and suspicious activity Set up Azure Policy to ensure that resource states and deployment is compliant with your business rules About the technology Attacks against cloud-based applications are increasingly common and sophisticated. It's vital for any developer or resource owner to understand how to properly configure their Azure cloud environments and establish reliable security best practices. The Azure platform comes with dozens of built-in security tools to help keep your systems safe. This book will teach you exactly how to set them up for maximum effectiveness.

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Learn the hands-on skills you need to ace the Kubernetes exam and boost your career by becoming a Certified Kubernetes Administrator (CKA). For readers who know the basics of containers and Linux admin. No Kubernetes experience is required. Acing the Certified Kubernetes Administrator Exam will provide you with content and practical exercises according to the unique CKA test environment. This practical book takes you hands-on with all the exam objectives, including deploying containerised applications to Kubernetes, accessing an application from an ingress resource, backup and restoring. You will learn how to: Administer an application running on Kubernetes Troubleshoot errors inside a Kubernetes cluster Authenticate users and machines to the Kubernetes API Create persistent storage in Kubernetes Add additional functionality to an existing Kubernetes cluster Plus! Essential exam tips and exercises help you work out your mental muscle memory. Acing the Certified Kubernetes Administrator Exam is your fast track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. About the technology The Certified Kubernetes Administrator (CKA) exam proves your skills as a Kubernetes administrator and is a serious test of your competency. There are no multiple-choice questions or essays: the whole test is conducted from the command line, with you performing solutions directly in the terminal. Administered by the Linux Foundation, the certification is recognised by employers worldwide as a proof of your ability to configure and manage production-grade Kubernetes clusters.

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Build your first robots with Python and some cheap, basic components. This entertaining book guides you step by step! In Build Your Own Robot you''ll learn how to: Use cameras to capture photos and let your robot see Track faces using computer vision and OpenCV Control DC motors to drive your robot around Create a web-based app to control your robot over a network Write code for joysticks Read QR codes with your robot to find and identify objects About the technology There''s nothing quite like watching your code come alive in the real world. Robotics is a fun, fascinating discipline that lets you do just that. In this guide, you''ll build some fun robotic toys that will teach you serious robotics engineering skills like computer vision, networking, and computation.

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Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code.Whenever you make a mistake writing Java, it''s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you''ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer.Inside 100 Java Mistakes and How To Avoid Them you will learn how to: Write better Java programs Recognize common mistakes during programming Create fewer bugs and save time for debugging and testing Get help from static analyzers during programming Configure static analysis tools to reduce the number of false reports Extend static analysis tools with custom plugins Each Java mistake in this handy guide comes with an illustrative c

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Create bulletproof, high-performance web apps and servers with Rust. In Rust Web Development you will learn: Handling the borrow checker in an asynchronous environment Creating web APIs and using JSON in Rust Graceful error handling Testing, tracing, logging, and debugging Deploying Rust applications Efficient database access Rust Web Development is a hands-on guide to building server-based web applications with Rust. If you've built web servers using Java, C#, or PHP, you'll instantly fall in love with the performance and development experience Rust delivers. This book shows you how to work efficiently using pure Rust, along with important Rust libraries such as tokio for async runtimes, warp for web servers and APIs, and reqwest to run external HTTP requests. about the technology Web development languages and libraries can be resource hungry, with poor safety for maintaining vital web services. Rust services perform better and guarantee better safety. Plus, Rust's awesome compiler gives you an amazing developer experience. You'll get the speed of low-level programming languages like C along with the ease-of-use you'd expect from high-level languages Python or Ruby, with a super strong compiler that automatically prevents common mistakes such as null pointers. about the book In Rust Web Development, you'll learn to build server-side web applications using the Rust language and its key libraries. If you know the basics of Rust, you'll quickly pick up some pro tips for setting up your projects and organizing your code. This book gets you hands-on fast, with numerous small and large examples. You'll get up to speed with how Rust streamlines backend development, implements authentication flows, and even makes it easier for your APIs to interact. As you go, you'll build a complete Q&A web service and iterate on your code chapter-by-chapter, just like a real development project. RETAIL SELLING POINTS • Handling the borrow checker in an asynchronous environment • Creating web APIs and using JSON in Rust • Graceful error handling • Testing, tracing, logging, and debugging • Deploying Rust applications • Efficient database access AUDIENCE For experienced web developers familiar with Java, Node, or Go, and the absolute basics of Rust

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Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. • The benefits and drawbacks of deep learning • Organizing data for your deep learning model • The deep learning stack • Measuring performance of your models For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning.

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Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system. Readers should be comfortable with RDBMS systems like SQL Server and scripting using a language like PowerShell, Bash, or Python. Book examples use PowerShell and C#. The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. The Microsoft Azure cloud platform can host virtually any sort of computing task, from simple web applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. • Azure cloud services architecture • Building a data warehouse in Azure • How to choose the right Azure technology for your task • Calculating fixed and variable costs • Hot and cold path analytics Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he’s done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure.

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　 DESCRIPTION R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. RETAIL SELLING POINTS Step-by-step guide to practical data analysis Gives quick access to the R language Written by seasoned researcher Uses over 130 graphics AUDIENCE This book is for social scientists, medical and pharmaceutical researchers, professors and students in quantitative fields, data analysts, data mining specialists, and statistical programmers who have a sense of what they want to do, but not how to do it in R. ABOUT THE TECHNOLOGY R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and

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Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivariate forecasting models to predict many time series at once Leverage large datasets by using deep learning for forecasting time series Automate the forecasting process DESCRIPTION Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You'll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. about the technology Time series forecasting reveals hidden trends and makes predictions about the future from your data. This powerful technique has proven incredibly valuable across multiple fields—from tracking business metrics, to healthcare and the sciences. Modern Python libraries and powerful deep learning tools have opened up new methods and utilities for making practical time series forecasts. about the book Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You'll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you're done, you'll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem.

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Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert RobKabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. The R language is the most powerful platform you can choose for modern data analysis. Free and open source, R's community has created thousands of modules to tackle challenges from data-crunching to presentation. R's graphical capabilities are also state-of-the-art, with a comprehensive and powerful feature set available for data visualization. R runs on all major operating systems and is used by businesses, researchers, and organizations worldwide.

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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

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Master the geometry behind CAD, game engines, GIS, and more! Geometry for Programmers is a hands-on book teaching you the maths behind the tools and libraries to create simulations, 3D prints, and other models in the physical world. Ideal for developers writing code using CAD libraries, game engines, or rendering tools, the textbook guides you through the math behind graphics and modelling tools using relevant examples and clear explanations that don't require advanced mathematical knowledge. You will learn how mastering manual geometry can help you avoid code layering and repetition and even how to drive down cloud hosting costs by creating more efficient application runtimes. Key features include: Speak the language of applied geometry Compose geometric transformations economically Craft custom splines for efficient curves and surface generation Pick and implement the right geometric transformations Confidently use important algorithms that operate on triangle meshes, distance functions, and voxels Filled with charts, illustrations, and complex equations rendered as simple Python code, this book unlocks geometry in a way you can apply it to your daily work. About the technology Geometry is the core of game engines, computer-aided design, image-processing libraries, GIS, and much more. Understanding the mathematical underpinnings of tools and libraries empowers you to develop more efficient programming strategies. This unique guide gives you control over the geometry you need to deliver faster, cleaner results— and even build your own geometry tools!

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The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

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Enter the Web Design Playground and start experimenting with all aspects of creating a web page—from design, to development, to publishing—in an easy-to-use free online workspace. Suitable for anyone interested in creating web pages. In Web Design Playground, Second Edition you'll learn essential tools of the web design trade, such as: Structuring a web page with HTML Styling a web page with CSS Modern page layout techniques Using colors in web design Making text look awesome with typography About the technology HTML, CSS, and the principles of good web design are all you need to build something beautiful! You'll find them all inside this one-of-a-kind guide. Written by web designer and master teacher Paul McFedries, this unique book shapes and sharpens your skills in the always-relevant technologies of the web.

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DESCRIPTION AngularJS has rapidly become the most popular web development framework for browser-based applications, but it's not a great solution for mobile apps. Ionic, an open source framework, blends the best features of AngularJS with Cordova (previously known as Phonegap) to package web applications into a native-quality mobile app. In other words, it allows users to build mobile apps using the web technologies they already know and love. Ionic does all the heavy lifting using CSS and JavaScript so users can get clean, native looking cross-platform apps without the hassle of building separate native apps for iOS and Android. Ionic in Action teaches web developers how to build cross-platform mobile apps for phones and tablets. It helps them extend their web development skills to build apps that are indistinguishable from native iOS or Android projects. With carefully explained examples the book shows how to build several mobile apps that demonstrate mobile-specific features such as GPS, camera, notifications, UI controls, and integrating with external data sources. Lastly, the book covers ways to test apps to improve stability and catch errors during development. KEY SELLING POINTS Covers the entire mobile development process Best practices for building mobile apps Sample apps demonstrate wide set of available features AUDIENCE The reader should be experienced in web development with HTML, CSS, and JavaScript. Some familiarity with AngularJS is helpful but not required. ABOUT THE TECHNOLOGY AngularJS is the most popular web development framework for browser-based applications. Ionic, an open source framework, blends the best features of AngularJS with Cordova (previously known as Phonegap) to package web applications into a native-quality mobile app. The book teaches how to build mobile apps for phones and tablets that work on both Apple or Google based operating systems, iOS and Android.

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When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.

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The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that's both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you're done, you'll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge.

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D3 allows developers to create scalable graphs for any modern browser. They start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that responsively scale to any screen. D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3. Readers will start with in-depth explanations of D3's out-of-the-box layouts, along with dozens of realworld use cases that align with different types of visualizations. By the end, readers will be ready to integrate D3.js into their web development process and add data visualization to transform any site or internal application. Key Features: · Completely revised and updated · Practical tutorial · In-depth explanations Readers need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG is required. About the Technology: D3.js is a JavaScript library that allows data to be represented graphically.

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Description The Java Module System, aka "Project Jigsaw", gives Java developers the ability to define and enforce modularity without an outside framework. In The Java Module System, readers will learn how the module system improves reliability and maintainability and can be used to reduce tight coupling of system components. They then discover how to build, compile, and run their own fully modular applications with best practices and expert techniques. Along the way, readers will also explore Java 9's compatibility challenges and how to migrate their application to the module system. Key features · Step-by-step guide · Hands-on examples · Expert techniques Audience If you are a developer who has experience working with Java, then this book is perfect for you. About the technology The Java Module System, aka "Project Jigsaw", gives Java developers the ability to define and enforce modularity without an outside framework.

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DESCRIPTION Businesses and consumers depend on reliable computer networks for banking, learning, entertainment, and staying in touch. Cisco is the leader in networking. Cisco skills are highly valued and there are a lot of opportunities for career advancement for people with these skills. Learn Cisco Network Administration in a Month of Lunches is a tutorial designed for beginners who want to learn how to administer Cisco switches and routers. Readers set aside one hour a day— lunchtime is perfect—for a month, and learn practical Cisco network administration skills faster than they ever thought possible. This book starts with the basics—a clear, concise overview of how Cisco Networks function. Then, readers move systematically through the techniques and features used to perform the most common and important administration tasks. KEY FEATURES • A great start with a great tutorial • Concise and easy-to-follow • Hands-on exercises and labs • Covers the most common and important tasks• A solid foundation for pursuing Cisco certifications AUDIENCE Readers have some experience with Windows system administration. No programming or prior Cisco experience is assumed. ABOUT THE TECHNOLOGY Every organization’s most valuable traffic passes through two types of networking devices: routers and switches. Cisco is a leading manufacturer of the most popular, dependable routers and switches. Because of this, Cisco Network Administration skills are in demand.

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DESCRIPTION Project tracking systems, test and build tools, source control, continuous integration, and other built-in parts of the software development lifecycle generate a wealth of data that can be used to track and improve the quality and performance of products, processes, and teams. Although the iterative nature of Agile development is perfect for data-driven continuous improvement, the collection, analysis, and application of meaningful metrics often fades in favor of subjective measures that offer less insight into the real challenges of making better software. Continuous Improvement: Measuring and enhancing the performance of Agile teams is a practical book that shows how to take the data already being generated to make teams, processes, and products better. It points out which metrics to use to objectively measure performance and what data really counts, along with where to find it, how to get it, and how to analyze it. The book also shows how all team members can publish their own metrics through dashboards and radiators, taking charge of communicating performance and individual accountability. Along the way, it offers practical data analysis techniques, including a few emerging Big Data practices. KEY SELLING POINTS Straightforward to-the-point writing Contains techniques and tools to improve output Uses everyday examples to get readers up and running quickly Empowers and motivates Agile teams to measure and improve AUDIENCE The reader will ideally be on or be responsible for a team that is practicing Agile development or is about to begin using Agile development. ABOUT THE TECHNOLOGY All practices in this book are designed to work with any development process or tool stack. For its examples, this book uses the Groovy scripting language to gather data and Grails to create the web based dashboards and radiators. MongoDB, a flexible database with built in data analysis, is used to dissect and serve up the data.

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It’s tedious and time-consuming to create OS-specific versions of every desktop application, especially with different set of tools for each platform. NW.js radically simplifies desktop development, providing a true cross-platform development stack built on HTML, CSS and JavaScript, Node.js modules, and the Chrome Blink engine. NW.js applications interact with the host operating system just like any other platform-native project, so developers have full access to all local files and resources. The performance is great, and best of all, it saves developers time because they only have to write one version of their application. Cross-Platform Desktop Applications guides readers step-by-step as they learn to develop NW.js desktop applications that run on Windows, OSX and Linux. They begin by getting the big picture of what NW.js can (and can’t) do. Readers test drive NW.js as they build their first desktop application. Next, they find out how to take advantage of OSspecific features like menus, system-tray apps, clipboards, and the file system. Along the way, this book teaches how to debug errors and diagnose performance bottlenecks with NW.js’s browser developer tools, package an application as a standalone executable for each OS, and even distribute it to various app stores. The book gives developers the inspiration and skills they need to code pro quality desktop applications using the web languages they already know. Key features: Step-by-step lessons Package and distribute application to a variety of app stores Develop pro quality desktop applications with web languages AUDIENCE Written for web designers and developers familiar with HTML, CSS, and JavaScript. No desktop app development experience required. ABOUT THE TECHNOLOGY NW.js radically simplifies desktop development, providing a true crossplatform development stack built on HTML, CSS and JavaScript, Node.js modules, and the Chrome Blink engine.

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Getting Started with Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you’ll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you’re done, you’ll have a solid grounding in NLP that will serve as a foundation for further learning. Key Features · Extracting information from raw text · Named entity recognition · Automating summarization of key facts · Topic labeling For beginners to NLP with basic Python skills. About the technology Natural Language Processing is a set of data science techniques that enable machines to make sense of human text and speech. Advances in machine learning and deep learning have made NLP more efficient and reliable than ever, leading to a huge number of new tools and resources. From improving search applications to sentiment analysis, the possible applications of NLP are vast and growing. Ekaterina Kochmar is an Affiliated Lecturer and a Senior Research Associate at the Natural Language and Information Processing group of the Department of Computer Science and Technology, University of Cambridge. She holds an MA degree in Computational Linguistics, an MPhil in Advanced Computer Science, and a PhD in Natural Language Processing.

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Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more.Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack. In Everyday Data Visualization you’ll learn important design principles for the most common data visualizations: Harness the power of perception to guide a user’s attention Bring data to life with color and typography Choose the best chart types for your data story Design for interactive visualizations Keep the user’s needs first throughout your projects This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how

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Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality.AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative. In AI-Powered Developer you’ll discover how to get the most out of AI: • Harness AI to help you design and plan software • Use AI for code generation, debugging, and documentation • Improve your code quality assessments with the help of AI • Articulate complex problems to prompt an AI solution • Develop a continuous learning mindset that keeps you up to date • Adapt your development skills to almost any language AI coding tools give you a

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HIGHLIGHT An insider’s perspective on the new ASP.NET MVC version 2 framework, expected to be released early-mid 2010. DESCRIPTION Microsoft ASP.NET MVC (model/view/controller) is a relatively new Web application framework that combines ASP.NET’s power and ease of use with the stability and testability of a MVC framework. The much-anticipated version 2 release brings new capabilities to the framework along with numerous additions that enhance developer productivity. In ASP.NET MVC 2 in Action, readers learn how to move from web form-based development to designs based on the MVC pattern. It begins with an introduction to the MVC framework and quickly dives into a working MVC 2 project. Featuring full coverage of new version 2 features, this book helps readers use developer-oriented upgrades like “Areas” to break a large project into smaller pieces and explore the new data handling tools. This revised edition adds a completely new tutorial to bring developers with no prior exposure to the MVC pattern up to speed quickly, keeping its focus on providing high-quality, professional grade examples that go deeper than the other ASP.NET MVC books. KEY POINTSP• Written by 4 ASP.NET MVPs (Microsoft Most Valuable Professionals) P• Fully updated for ASP.NET MVC version 2 P• Includes high-quality, in-depth examples P• Concise, developer-centric, “In Action” style P• No fluff – this book gets to the good stuff fast

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ASP.NET AJAX puts the power of Ajax into the hands of Microsoft ASP developers. With this technology, ASP.NET developers can easily build more interactive and highly personalized web applications that work across all the most popular browsers. ASP.NET AJAX in Action introduces you to Ajax applications and to the ASP.NET AJAX technology. Beginners will appreciate the clear explanations of key ideas and terminology. Intermediate and advanced ASP.NET developers will find a no-nonsense learning source and well-organized reference. ASP.NET AJAX in Action offers a rich set of examples and meticulous explanations. The extensive code samples are accompanied by accurate and rigorous explanations of the concepts behind development with ASP.NET AJAX.

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As experience with Ajax increases, developers want the standard Ajax capabilities they repeatedly use to be preprogrammed for them—and that's exactly what Ajax libraries do for them. They reduce the pain of handling cross-browser inconsistencies, they add useful language features, and provide sophisticated functionality. Of these, Prototype is the most popular JavaScript and Ajax framework for low-level coding. Scriptaculous builds on Prototype to provide popular high-level user interface features such as animation, drag and drop, and prebuilt widgets. Together, they free the developer up to concentrate on building the application. They make a rich user experience easy to achieve. This book guides the reader through the Prototype and Scriptaculous libraries feature-by-feature. In just 350 pages, it shows over 100 small working examples that help readers explore the libraries, and they develop a web-based image gallery that teaches them how to use Prototype and Scriptaculous in the real-world.

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