Search results for ""author manny"

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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Description As a developer, you need to build software in a secure way. But you can't spend all your time focusing on security. The answer is to use good design principles, tools, and mindsets that make security an implicit result - it's secure by design. Secure by Design teaches developers how to use design to drive security in software development. This book is full of patterns, best practices, and mindsets that you can directly apply to your real world development. Key features · Use good design to create secure software · Apply design concepts in real-world cases · Spot hidden security problems · Assess security by identifying design patterns · Understand benefits and limitations of secure-by-design Audience Readers should have some experience in Java, C#/.NET, or similar language. About the technology Secure-by-design becomes a guiding principle in how you build your software, from code to architecture. This begins by understanding designs and patterns that promote security so they become easy to apply in your day-to-day work.

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Discover the power that functional programming brings to your Scala code. This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3. In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, you'll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. You'll progress from the basics to advanced topics in a logical, concise, and clear progression. Throughout, concrete examples and exercises open up the world of functional programming. about the technology Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is a popular JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. about the book Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. You'll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth. You'll even learn how to build your own Scala functional library that's perfectly adapted to your needs. You'll soon be writing Scala code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. RETAIL SELLING POINTS Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviours Write code that performs I/O without sacrificing functional programming AUDIENCE For programmers experienced in Java or Scala. No prior knowledge of functional programming required.

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DESCRIPTION Many of the normal concerns faced by application developers are amplified by the challenges of web-scale concurrency, real-time performance expectations, multi-core support, and efficiently consuming services without constantly managing I/O blocks. Although it's possible to solve most of these issues with existing languages and frameworks, Go is designed to handle them right out of the box, making for a more natural and productive coding experience. Developed at Google for its own internal use, Go now powers dozens of nimble startups, along with name brands like Canonical, Heroku, SoundCloud, and Mozilla, who rely on highly performant services for their infrastructure. Go in Action introduces the unique features and concepts of the Go language, guiding readers from inquisitive developers to Go gurus. It provides hands-on experience with writing real-world applications including web sites and network servers, as well as techniques to manipulate and convert data at incredibly high speeds. It also goes in-depth with the language and explains the tricks and secrets that the Go masters are using to make their applications perform. For example, it looks at Go's powerful reflection libraries and uses real-world examples of integration with C code. KEY SELLING POINTS Written by Go developers Real use cases faced in day-to-day development Get tricks and tips from experienced Go users AUDIENCE This book assumes you're a working developer proficient with another language like Java, Ruby, Python, C#, or C++. ABOUT THE TECHNOLOGY Go is a powerful language that is gaining rapid adoption by companies that want to write fast systems while allowing their developers to use modern programming languages. Go development is sponsored and curated by Google, but has contributors from around the globe.

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DESCRIPTION PostGIS is an open source spatial database extender for PostgreSQL. It equals or surpasses proprietary alternatives, allowing the creations of location-aware queries with just a few lines of SQL code, and provides a back-end for mapping, raster analysis, and routing applications with minimal effort. PostGIS in Action, Second Edition teaches readers of all levels to write spatial queries that solve real-world problems. After covering the background in vector, raster and topology based GIS, it quickly moves into analyzing, viewing, and mapping data. The book shows how to optimize queries for maximum speed, simplify geometries for greater efficiency, analyze rasters, vectorize rasters, better manage data utilizing topologies, and create custom functions for applications. It covers PostGIS 2.0 and 2.1 series, PostgreSQL 9.1- 9.3 features and shows how to integrate with other GIS tools. 　 RETAIL SELLING POINTS Comprehensive coverage of PostGIS Applies PostGIS to real-world problems Significant updates to the first edition AUDIENCE Familiarity with relational database concepts is helpful but not required. This book is for programmers, GIS and DB practitioners, scientists, researchers, educators, and engineers. ABOUT THE TECHNOLOGY PostGIS (pronounced post-jis) is a spatial database extender for the PostgreSQL open source relational database management system. It’s the most powerful open source spatial database engine. It also adds to PostgreSQL several spatial data types and over 300 functions for working with these spatial types.

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Microservices Security in Action teaches readers how to secure their microservices applications code and infrastructure. After a straightforward introduction to the challenges of microservices security, the book covers fundamentals to secure both the application perimeter and service-to-service communication. Following a hands-on example, readers explore how to deploy and secure microservices behind an API gateway as well as how to access microservices accessed by a single-page application (SPA). Key Features Key microservices security fundamentals Securing service-to-service communication with mTLS and JWT Deploying and securing microservices with Docker Using Kubernetes security Securing event-driven microservices Using the Istio Service Mesh For developers well-versed in microservices design principles who have a basic familiarity with Java. About the technology As microservices continue to change enterprise application systems, developers and architects must learn to integrate security into their design and implementation. Because microservices are created as a system of independent components, each a possible point of failure, they can multiply the security risk. Prabath Siriwardena is the vice president of security architecture at WSO2, a company that produces open source software, and has more than 12 years of experience in the identity management and security domain. Nuwan Dias is the director of API architecture at WSO2 and has worked in the software industry for more than 7 years, most of which he spent focusing on the API management domain. Both have helped build security designs for Fortune 500 companies including Boeing, Verizon, Nissan, HP, and GE.

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In Software Mistakes and Tradeoffs you'll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You'll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, to help you make better design decisions. Plus, with a little practice, you'll be able to avoid the pitfalls that trip up even the most experienced developers. Software Mistakes and Tradeoffs teaches you how to make better decisions about designing, planning, and implementing applications. You'll analyse real-world scenarios where the wrong tradeoff decisions were made, and discover what could have been done differently. The book lays out the pros and cons of different approaches and explores evergreen patterns that will always be relevant to software design. Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintain ability—everydecision you make in software engineering involves balancing tradeoffs. Often, decisions that look good at the design stage can prove problematic in practice.This book reveals the questions you need to be asking to make the right decisions for your own software tradeoffs.

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Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll learn QC fundamentals as you apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Learn Quantum Computing with Python and Q# builds your understanding of quantum computers, using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities. You’ll learn QC basics as you create your own quantum simulator in Python, then move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing. Key Features · The underlying mechanics of how quantum computers work · How to simulate qubits in Python · Q# and the Microsoft Quantum Developer Kit · How to apply quantum algorithms to real-world examples For readers with basic programming skills and some experience of linear algebra, calculus and complex numbers. About the technology Quantum computing is the next step in computing power and scalability, with the potential to impact everything from data science to information security. Using qubits, the fundamental unit of quantum information, quantum computers can solve problems beyond the scale of classical computing. Software packages like Microsoft's Quantum Development Kit and the Q# language are now emerging to give programmers a quick path to exploring quantum development for the first time. Christopher Granade completed his PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing, and now works in the Quantum Architectures and Computation (QuArC) group at Microsoft. He works in developing the standard libraries for Q# and is an expert in the statistical characterization of quantum devices from classical data. Previously, Christopher helped Scott Aaronson prepare lectures into his recent book, Quantum Computing Since Democritus. Sarah Kaiser completed her PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing. She has spent much of her career developing new quantum hardware in the lab, from satellites to hacking quantum cryptography hardware. Communicating what is so exciting about quantum is her passion, and she loves finding new demos and tools to help enable the quantum community to grow. When not at the keyboard, she loves kayaking and writing books about engineering for kids.

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Description A new generation of serverless tools, including Claudia.js, make it radically easier to set up serverless web applications so users can focus on what their app does instead of meddling with infrastructure configuration and deployment. Serverless Apps with Node and Claudia.js walks readers through building serverless apps on AWS using JavaScript. They’ll learn to simplify the design and development process so they can focus on getting their application deployed as fast as possible without sacrificing quality. Key features · Create a serverless API using AWS Lambda and Claudia.js · Build a voice assistant with Amazon Alexa · Develop microservices with Node.js, AWS Lambda, S3, and more · Create a chatbot for multiple platforms Audience Written for beginner and intermediate web developers comfortable with JavaScript and Node.js. Some prior experience with AWS is required. About the technology Serverless computing services like AWS Lambda and API Gateway can be tedious to set up, aren't designed to work well with JavaScript and Node, and most of the quirks and gotchas aren't well documented. Claudia doesn't alter your project layout or abstract away the core AWS services; it just makes it easier to get started with them!

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DESCRIPTION Serverless architecture is about having more time to focus on code, and moving quickly. In these new architectures, traditional back-end servers are replaced with cloud functions acting as discrete singlepurpose services. With serverless compute technologies like AWS Lambda, developers can build entirely serverless platforms at scale. Serverless Architectures on AWS teaches how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. This book has many ready-made and real-world examples, code snippets, diagrams, and descriptions of architectures that can be readily applied. It describes a traditional application and its back end concerns and then shows how to solve these same problems with a serverless approach. By the end, readers will be able to reason about serverless systems and be able to compose their own systems by applying these ideas and examples. KEY FEATURES • Up-to-date with the most current platform trends • Real-world examples, code snippets, and diagrams• Learn to solve back end concerns with a serverless approach AUDIENCE This book is for all software developers interested in back end technologies. Experience with JavaScript (node.js) and AWS is useful but not required. ABOUT THE TECHNOLOGY Lambda is a compute service that executes code written in JavaScript (node.js), Python, or Java on AWS infrastructure. Source code is deployed to an isolated container that has its own allocation of memory, disk space, and CPU. Serverless architectures herald a new way of building scalable, powerful, cost-effective, and high-performing back end systems. They encourage a new way of creating applications through the use of a stateless compute service to execute code.

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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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Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in Action, filled with hands-onexamples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks. Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input. You'll quickly run through machine learning basics thatopen upon AutoML to non-data scientists, before putting AutoML into practicefor image classification, supervised learning, and more. Automated machine learning (AutoML) automates complex andtime-consuming stages in a machine learning pipeline with pre packaged optimal solutions. This frees up data scientists from data processing and manualtuning, and lets domain experts easily apply machine learning models to their projects.

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