Search results for ""Manning Publications""

Description Ruby is a dynamic language perfect for creating applications, development tools, and administrative scripts. The Well-Grounded Rubyist, Third Edition is a perfect tutorial for newcomers to Ruby and a great way for experienced Rubyists to deepen their understanding of the language. Key features · Fully updated to cover the latest in Ruby 2.5 · Clear explanations of Ruby concepts and how to apply them · Simple examples to seal in the learning · Prepares readers to use Ruby anywhere for any purpose Audience This book teaches Ruby from the ground up. The reader should have command of basic programming concepts in another language. About the technology Because it's the backbone of the well-loved Ruby on Rails web framework, Ruby has become one of the most popular programming languages in the world. David A. Black is an internationally-known Ruby developer, author, trainer, speaker, and event organizer, as well as a co-founder of Ruby Central. Joseph Leo III is a Ruby teacher, mentor, and community advocate. He is the lead organizer of the Gotham Ruby Conference (GoRuCo) and founder of Def Method.

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Turn the corner from “Haskell student” to “Haskell developer.” Haskell in Depth explores the important language features and programming skills you’ll need to build production-quality software using Haskell. And along the way, you’ll pick up some interesting insights into why Haskell looks and works the way it does. Get ready to go deep! Haskell in Depth is the perfect second book on Haskell. After a quick refresher on Haskell basics, this hands-on guide dives into examples and application scenarios designed to teach how Haskell works and how to apply it correctly. You’ll learn about managing projects with Cabal and Stack, tackle error-handling and testing, and package programs and libraries for production deployment. Key Features · Organizing your projects with Cabal and Stack · Testing and profiling · Working with data · Building web services and networking apps · Using the sophisticated libraries like lens, vinyl, and servant Written for developers familiar with Haskell basics. About the technology As software becomes more complex, it’s essential to program efficiently using tools and techniques that guarantee your applications will run correctly, grow easily, and last a long time. Haskell is a functional programming language that blends a mathematically-rigorous approach to software design with a tested ecosystem of tools and libraries you can use to build deployable applications. Since 2008, Vitaly Bragilevsky has been teaching Haskell and functional programming to undergraduate students at the Southern Federal University located in Rostov-on-Don, Russia. He is a member of the Haskell 2020 Committee, and has worked on the source code of the Glasgow Haskell Compiler (GHC) and the Idris compiler, both of which are implemented in Haskell.

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Docker's simple idea, wrapping an application and its dependencies into a single deployable package, has continued to drive a revolution in software delivery. Docker in Practice, Second Edition presents nearly 120 practical techniques, hand-picked to help users get the most out of Docker. This book is an essential resource that readers will want to have open on their desk! Key features · Hands-on guide · Step-by-step instructions · Full of practical tips Written for developers and engineers using Docker in production. About the technology Docker is a platform that allows users to “build, ship, and run any app, anywhere.” It has come a long way in an incredibly short time and is now considered a standard way of solving one of the costliest aspects of software: deployment. Author biography Ian Miell is the Lead OpenShift Architect at Barclays. Aidan Hobson Sayers is a developer at Hadean. Previously, they used Docker to transform DevOps at OpenBet.

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Rust is a new systems programming language that gives you the low-level power of C with the elegance and ease of languages like Ruby and Python. Rust is thread safe, enabling "fearless concurrency". Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. · Concurrent and parallel programming Sharing resources with locks or atomic operations Avoiding programming with global state Message passing inside your applications Memory management and garbage collection Readers need intermediate programming skills and familiarity with general computer science concepts, the command line, and networking.

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Description C# is an amazing language that's up to any challenge you can throw at it. As a C# developer, you also need to be up to the task. C# in Depth, Fourth Edition is the key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, readers will master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more. Key features · Expert guidance · Hands-on examples · Step-by-step guide Audience If you're a C# developer who's comfortable working with the language and wants to really dig in deep, then this book is for you. About the technology .NET developers, will use C# whether their building an advanced enterprise application or just pushing out a quick ASP.NET app. C# 5, 6 and 7 have added a host of new features to help users write better code with tuples, string interpolation, pattern matching, and more.

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Functional programming is becoming a required skill for allprogrammers, and for good reason. The functional style ofprogramming lets developers to write more concise code, which tendsto have fewer bugs. Functional Programming in C++ teaches developers the practical sideof functional programming and what tools C++ provides to developsoftware in the functional style. KEY FEATURES• Practical-guide• Hands-on examples• Step-by-step instructions This book is for developers who have worked professionally with C++for 2 or more years. ABOUT THE TECHNOLOGYBroadly speaking, Functional Programming is a style of programmingwhere the main programming building blocks are functions, asopposed to objects and procedures. AUTHOR BIOIvan Čukić has been teaching modern C++ techniques and functionalprogramming at the Faculty of Mathematics in Belgrade for 6 years and hasbeen using C++ for more than 15 years. He has been researching functionalprogramming in C++ before and during his PhD studies, and uses thetechniques in real-world projects. He is one of the core developers in KDE,the largest free/libre open source C++ project.

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　 DESCRIPTION Users expect search to be simple: They enter a few terms and expect perfectly-organized, relevant results instantly. But behind this simple user experience, complex machinery is at work. Whether using Elasticsearch, Solr, or another search technology, the solution is never one size fits all. Returning the right search results requires conveying domain knowledge and business rules in the search engine's data structures, text analytics, and results ranking capabilities. Relevant Search demystifies relevance work. Using Elasticsearch, it tells how to return engaging search results to users, helping readers understand and leverage the internals of Lucene-based search engines. The book walks through several real-world problems using a cohesive philosophy that combines text analysis, query building, and score shaping to express business ranking rules to the search engine. It outlines how to guide the engineering process by monitoring search user behavior and shifting the enterprise to a search-first culture focused on humans, not computers. It also shows how the search engine provides a deeply pluggable platform for integrating search ranking with machine learning, ontologies, personalization, domain-specific expertise, and other enriching sources. 　 KEY FEATURES Highly relevant, concrete, hands-on guide Digs deep into search engine technology Contains essential tools, tips, and strategies for building engaging search engines 　 AUDIENCE For readers who can code moderately complex tasks. ABOUT THE TECHNOLOGY Lucene is the underlying technology that backs both Elasticsearch and Solr. Dominant search engines are based upon Lucene and since Lucene itself is based upon the strong foundation of Information Retrieval research, the book will be applicable to almost any search technology available now or in the foreseeable future.

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DESCRIPTIONArtists have always explored new media, and computer-based artistsare no exception. Generative art, an emerging technique where print oronscreen images are created by use of computer algorithms, finds theartistic intersection between programming, computer graphics, andindividual expression.Generative Art presents both the technique and the beauty ofalgorithmic art. In it, you'll find dozens of high-quality examples ofgenerative art, along with the specific programmatic steps author andartist Matt Pearson followed to create each unique piece. The bookincludes concise tutorials for each of the technical componentsrequired to create the book's examples, and it offers countlesssuggestions for how you can combine and reuse the various techniquesto create your own works. KEY POINTS• Introduction to the principles of algorithmic art• Brief Processing language tutorial• Establishing artistic "ground rules" for a new work• Using random, semi-random, emergent and fractal processes• Finding fresh approaches to the discipline of programming• Sixteen-page full-color section of beautiful artwork

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Understand and stop the hacks you read about in the headlines! This practical guide includes secure code samples, built-in ASP.NET tools, and insider techniques to help your web applications stay safe and secure. In ASP.NET Core Security, you will learn how to: Understand common attacks against web applications Implement attack countermeasures Use testing tools, helper libraries, and scanning tools to improve security Utilize built-in browser security features and activate them from ASP.NET Core applications Handle security APIs in .NET and ASP.NET Core Correctly manage passwords to minimize the damage done by a data leak Securely store application secrets so that they are not accessible to an attacker ASP.NET Core Security delivers the skills and countermeasures you need to keep your ASP.NET apps secure from the most common web application attacks. It gives you an invaluable security mindset to help you anticipate risks and introduce practices like testing as regular security checkups. The examples focus on the unique needs of ASP.NET applications, and also offer universal security best practices essential for any professional web developer. about the technology Nine out of ten web applications have security vulnerabilities. Apps built with the Microsoft stack are no different. This book lays out everything you need to know to secure your ASP.NET web applications, including unique security APIs, browser interactions, and common threats. about the book ASP.NET Core Security is a practical and hands-on guide to securing web applications built with ASP.NET. Written by Christian Wenz, a 20-year veteran of web security, it reveals attacks that threaten your apps and introduces the built-in ASP.NET features you can use to defend against them. You'll start on the dark side, exploring the weapons used by hackers, such as cross-site scripting, session theft, and SQL injection. Each attack is illustrated with a use case plucked from the headlines, including rogue Firefox extensions and Adobe password thefts. And you'll really appreciate the detailed C# code samples that show you how exactly to prevent these attacks! You'll learn how to implement countermeasures, activate browser security features with ASP.NET, and securely store application secrets to keep them safe from attack.

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"Helps explain some of the knowledge gaps between enthusiastic new graduates and grouchy old gray beards like myself." - Joe Ivans Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt. Good code or bad code? The difference often comes down to how you apply the conventions, style guides, and other established practices of the software development community. In Good Code, Bad Code you'll learn how to boost your effectiveness and productivity with code development insights normally only learned through years of experience, careful mentorship, and hundreds of code reviews. In Good Code, Bad Code you'll learn how to:- Think about code like an effective software engineer- Write functions that read like a well-structured sentence- Ensure code is reliable and bug free- Effectively unit test code- Identify code that can cause problems and improve it- Write code that is reusable and adaptable to new requirements- Improve your medium and long-term productivity- Save you and your team's time about the technologyCoding in a development team requires very different skills to working on personal projects. Successful software engineers need to ensure that their code is reusable, maintainable, and easy for others to understand and adapt. about the bookGood Code, Bad Code is a shortcut guide to writing high-quality code. Your mentor is Google veteran Tom Long, who lays out lessons and mindsets that will take your code from “junior developer” to “senior engineer.” This instantly-useful book distils the principles of professional coding into one comprehensive and hands-on beginner's guide. You'll start with a jargon-free primer to coding fundamentals that teaches you to think about abstractions, consider your fellow engineers, and write code that can recover from errors. Next, you'll dive into specific techniques and practices. You'll run through common coding practices to learn when to apply the right technique to your problem—and which might be best avoided! All practices are illustrated with annotated code samples written in an instantly recognizable pseudocode that you can relate to your favourite object-oriented language. By the time you're done, you'll be writing the kind of readable, reusable, and testable code that's the mark of a true software professional. about the readerFor coders looking to improve their experience in professional software development. about the authorTom Long is a software engineer at Google. He works as a tech lead, mentoring and teaching professional coding practices to new graduates and beginner software engineers.

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Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projects Construct machine learning pipelines with data ingestion, distributed training, model serving, and more Automate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade offs between different patterns and approaches Manage and monitor machine learning workloads at scale Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. about the technology Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure. about the book Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. Once you've mastered these cutting edge techniques, you'll put them all into practice and finish up by building a comprehensive distributed machine learning system.

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An effective Chief Technology Officer shapes almost every aspect of a modern business. This book shares the experience and advice of veteran CTOs and industry experts for handling IT crises, leading tech teams, and creating an inspiring vision for your company. In Think Like a CTO you will learn: Effective interaction and relationship building with other C-level executives Creating long term visions and executing on short term goals Interviewing, hiring, and terminating team members Negotiating salaries and managing promotions Architecting future proofed systems Handling security breaches and ransomware attacks Putting together budgets and working with your CFO Identifying and managing outsourced vendor opportunities Managing and communicating bad news by leading with data, not passion Being the kind of leader that employees want to follow and emulate Becoming a CTO is an incredible accomplishment. It's also one of the hardest transitions a technologist can make. This high-power and high-pressure role demands skills that are rarely developed as a software engineer. Think Like a CTO shines a light on all the areas an aspiring CTO needs to master to succeed. You'll learn how to build incredible working relationships with the rest of the C-suite, transform a company with private equity, and recruit and manage your development team. With this book as your guide, you'll quickly become a trusted leader figure with an inspiring vision for your company. about the technology Every modern company is a technology company, and that makes the CTO one of the most important leaders in an organization. The CTO must plan a company's technology vision, build and lead the team to get it done, and effectively interact with business leaders, clients, and investors. A highly effective CTO is vital for a company's continued growth and success. This book will show you how to be that CTO. about the reader For technology leaders working in or aspiring towards a CTO role.

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Optimise the performance of your systems with practical experiments used by engineers in the world's most competitive industries. Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You will start with a deep dive into methods like A/B testing and then graduate to advanced techniques used to measure performance in industries such as finance and social media. You will learn how to: Design, run, and analyse an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimisation Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation By the time you're done, you will be able to seamlessly deploy experiments in production, whilst avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world's most competitive industries and will help you enhance machine learning systems, software applications, and quantitative trading solutions.

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The Art of Unit Testing, Third Edition updates an international bestseller to reflect modern development tools and practices. This expanded edition teaches you to write unit tests for async and observable code, as well as methods of faking functions, modules and refactorings. You'll explore test patterns and organization, working with legacy code, and even "untestable" code. The many tool-agnostic examples are presented in JavaScript, and are carefully designed so that they apply to code written in any language. about the technology Unit testing is a universally-adopted practice on dev teams of all sizes. Great developers will tell you that testing is as much a state of mind as a collection of tools and practices. The Art of Unit Testing, Third Edition takes you below the surface and understand how unit testing can transform the way you deliver and maintain software. Now with examples in JavaScript, this new edition has been updated to reflect the characteristics of a modern codebase, including async and modularized, distributed services. The practices and patterns you'll learn can also be easily applied to other languages, including C#, Java, and Python. about the book The Art of Unit Testing, Third Edition guides you step by step from your first simple unit tests to building complete test sets that are maintainable, readable, and trustworthy. Now with examples using JavaScript and Node, this expanded third edition teaches you to write unit tests for async and observable code, as well as methods of faking functions, modules and refactorings. You'll get to grips with complex subjects such as mocks and stubs, explore how to handle tricky legacy codebases, and save yourself time with tests that function for both frontend and backend applications. The Art of Unit Testing, Third Edition is an essential guide for any unit tester who wants to feel confident writing code that's easier to create, maintain, and adapt.

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"Not only for MacOS and Linux users, but also a great resource for Windows PS users." - Bruce Bergman Learn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a task-focused tutorial for administering Linux and macOS systems using Microsoft PowerShell. Adapted by PowerShell team members Travis Plunk and Tyler Leonhardt from the bestselling Learn Windows PowerShell in a Month of Lunches by community legends Don Jones and Jeffrey Hicks, it features Linux-based examples covering core language features and admin tasks. Designed for busy IT professionals, this innovative guide will take you from the basics to PowerShell proficiency through 25 tutorials you can do in your lunch break. about the technologyThe PowerShell scripting language and administrative shell was initially created for Windows, providing a high-quality command-line interface and awesome automation features. As part of Microsoft's ongoing strategy to support non-Windows platforms with its Azure cloud service and .NET Core framework, PowerShell now runs on Linux and macOS. Like Bash, PowerShell can execute and script nearly any aspect of Linux, so you can easily manage repetitive daily tasks, servers, Cloud resources, Continuous Integration pipelines, and more. Because PowerShell is a full-featured programming language, however, it provides capability well beyond traditional shell scripting languages, such as the ability to treat OS components as objects. about the bookLearn PowerShell in a Month of Lunches: Covers Windows, Linux, and macOS is a user-friendly tutorial to managing Linux and macOS systems with PowerShell. It's based on the bestselling Learn Windows PowerShell in a Month of Lunches, which has introduced PowerShell to nearly 100,000 readers. You'll learn how PowerShell shapes up to Bash or Python scripting as you write and run simple scripts that automate boring daily tasks. As you progress through the book, you'll use PowerShell to write Continuous Integration Pipelines and manage cloud-based servers. Just set aside one hour a day for a month, and you'll be automating tasks faster than you ever thought possible! what's inside- Why you should use PowerShell on Linux and macOS- Background jobs and automation techniques- Simple scripting to automate repetitive daily tasks- Common syntax and commands cheat sheet- Each lesson takes you an hour or less about the readerFor IT professionals comfortable administering Windows or Linux. No previous experience with PowerShell or Bash required. about the authorTravis Plunk has been a Software Engineer on various PowerShell teams since 2013, and at Microsoft since 1999. He was involved in open sourcing PowerShell and has worked on the project full time since shortly after the project was announced. James Petty is a Microsoft MVP, and the CEO and Executive Director for the DevOps Collective and PowerShell.org. Tyler Leonhardt has been a Software Engineer on the PowerShell team since 2017, and at Microsoft since 2016. He is a core maintainer of the PowerShell extension for Visual Studio Code. Learn Windows PowerShell in a Month of Lunches was written by PowerShell community legends Don Jones and Jeffrey Hicks, who have years of experience as successful PowerShell trainers.

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Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. The design rules for different types of objectsBest practices for naming objectsTesting an object’s behavior instead of its implementationExercises for each chapter to test your design skills

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For system administrators, network professionals, beginning pentesters, and security consultants. The Art of Network Penetration Testing is a hands-on guide to running your own penetration test on an enterprise network. After setting up a virtual environment to use as your lab, you’ll work step-by-step through every stage of a professional pentest, from information gathering to seizing control of a vulnerable system. You’ll learn a repeatable process you can use to identify valuable targets within a typical enterprise environment, perform controlled exploitation of critical security weaknesses, elevate network level privileges, and pivot laterally through the network. Finally, you’ll learn how to write up your findings in a clear and actionable report, to ensure a system can be protected against the weaknesses you’ve identified. Set up a virtual pentest lab using Ubuntu Linux Identify internal weaknesses on compromised systems Exploit network vulnerabilities to compromise Windows and Linux Establish persistent re-entry back into compromised targets Elevate your privileges to become a domain administrator Penetration testing, also called pentesting, is about more than just getting through a perimeter firewall. The biggest security threats are inside the network, where attackers can rampage through sensitive data by exploiting weak access controls and poorly patched software. Designed for up-and-coming security professionals, The Art of Network Penetration Testing teaches you how to take over an enterprise network from the inside. It lays out every stage of an internal security assessment step-by-step, showing you how to identify weaknesses before a malicious invader can do real damage. Packed with valuable personal and financial data, business computer systems are attractive targets to cyber criminals. As a penetration tester, your job is to attack an organization’s IT applications and infrastructure to find the vulnerabilities a real intruder would exploit. Master pentesters need the skill to identify internal security flaws that would allow a bad actor to compromise file systems, email, databases, and other core components of a modern connected enterprise.

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"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You'll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We've gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn't beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. what's insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

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Summary How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI. About the technology There’s no doubt that artificial intelligence has made some impressive headlines recently, from besting chess and Go grand masters to producing uncanny deep fakes that blur the lines of reality. But what can AI do for you? If you want to understand how AI will impact your business before you invest your time and money, this book is for you. About the book Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer on core AI concepts and realistic business outcomes. To help you prepare for the transition, the book breaks down a successful AI implementation, including advice on hiring the right team and making decisions about resources, risks, and costs. What's inside Identifying where AI can help your organization Designing an AI strategy Evaluating project scope and business impact Using AI to boost conversion rates, curate content, and analyze feedback Understanding how modern AI works and what it can/can’t do About the reader For anyone who wants to gain an understanding of practical artificial intelligence and learn how to design and develop projects with high business impact. About the authors Gianluca Mauro and Nicolò Valigi are the cofounders of AI Academy, a company specializing in AI trainings and consulting. Table of Contents: 1. An introduction to artificial intelligence PART 1 - UNDERSTANDING AI 2. Artificial intelligence for core business data 3. AI for sales and marketing 4. AI for media 5. AI for natural language 6. AI for content curation and community building PART 2 - BUILDING AI 7. Ready—finding AI opportunities 8. Set—preparing data, technology, and people 9. Go—AI implementation strategy 10. What lies ahead

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Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problemsin Swift.

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Intended for intermediate Java developers familiar with web development, networked services, and enterprise Java frameworks like Spring or Java EE. No prior experience in asynchronous or reactive programming is required. As enterprise applications become larger and more distributed, new architectural approaches like reactive designs, microservices, and event streams are required knowledge. The Vert.x framework provides a mature, rock-solid toolkit for building reactive applications using Java, Kotlin, or Scala. Vert.x in Action teaches you to build responsive, resilient, and scalable JVM applications with Vert.x using well-established reactive design patterns. about the technology Vert.x is a mature framework for building reactive applications on the JVM. Designed to handle asynchronous communication effortlessly, Vert.x permits the fewest number of concurrent threads possible. As a result, you automatically get increased scalability, resource efficiency, and dependability, which are big wins for any distributed system. Vert.x’s modular design lends itself perfectly to data processing, IoT gateways, web apps, gaming backends, and more. Vert.x supports all major JVM languages and asynchronous programming models including callbacks, promises, Scala futures, and Kotlin futures. Hosted by the Eclipse foundation and now in its third major release, Vert.x boasts over seven years of field-tested performance. In addition, Vert.x has been integrated into the Red Hat OpenShift platform as a rapid development tool for cloud native reactive applications. about the book Vert.x in Action teaches you to build highly-scalable reactive enterprise applications. In this practical developer’s guide, Vert.x expert Julien Ponge gets you up to speed in the basics of asynchronous programming as you learn to design and code reactive applications. Using the Vert.x asynchronous APIs, you’ll build services including web stack, messaging, authentication, and access control. You’ll also dive into deployment of container-native components with Docker, Kubernetes, and OpenShift. Along the way, you’ll check your app’s health and learn to test its resilience to external service failures. As a member of the Vert.x core team, Julien Ponge has up-close-and-personal experience you can trust. The lessons and examples in this book center on principles that will easily transfer to other reactive technologies, empowering you to apply what you learn using Vert.x or the reactive tech of your choice. With the rising tide of microservices and distributed systems, reactive programming is flowing into the mainstream. With Vert.x in Action, you’ll be sailing smoothly! An introduction to asynchronous programming and reactive systems Building reactive services Responding to external service failures Horizontal scaling Deploying with Docker, Kubernetes, and OpenShift

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HTTP/2 introduces request multiplexing and request prioritization, which allows the web to handle the ever-increasing traffic that makes up modern websites. HTTP/2 in Action is a complete guide to HTTP/2, one of the core protocols of the web. Concentrating practical matters, this interesting book presents key HTTP/2 concepts such as frames, streams, and multiplexing and explores how they affect the performance and behaviour of your web sites. Key Features · Upgrading to HTTP/2 · Frames, streams, and multiplexing · Implementing server push Audience Written for developers or website administrators with a basic understanding of web development. Some chapters use JavaScriptbased examples but the techniques should apply to any HTTP/2 implementation. Author Bio Barry Pollard is a professional software developer with nearly two decades of industry experience developing and supporting software and infrastructure. He has a keen interest in web technologies, performance tuning, security, and the practical usage of technology.

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At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features · The lifecycle of a machine learning project · Three end-to-end applications · Graphs in big data platforms · Data source modeling · Natural language processing, recommendations, and relevant search · Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it’s important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.

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This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. This edition covers 5 years’ worth of minor updates to the language, and the last 5 chapters have been reworked to be data based project work. Key features: · Clear introduction · Completely up-to-date · Hands-on experience The book is aimed at readers who know programming but for whom the Python language is new. About the Technology: Python is a true cross-platform language. It can be used to develop small applications and rapid prototypes, but scales well to permit development of large programs. It comes with a powerful and easy-to-use graphical user interface (GUI) toolkit, web programming libraries and more. And it’s free!

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Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

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　 DESCRIPTION To earn the OCA Java SE 8 Programmer I Certification, readers need to know Java inside and out, and to pass the exam it's good to understand the test itself. This book cracks open the questions, exercises, and expectations readers will face on the OCA exam so they’ll be ready and confident on test day. OCA Java SE 8 Programmer I Certification Guide prepares readers for the 1Z0-808 with complete coverage of all exam topics. The book explores important Java topics and systematically teaches what's required. Each chapter starts with a list of exam objectives mapped to section numbers, followed by sample questions and exercises designed to reinforce key concepts. It provides multiple ways to digest important techniques and concepts, including memorable analogies, diagrams, and flowcharts as well as lots of well-commented code. Along the way readers will also get the scoop on common mistakes and ways to avoid traps and pitfalls. KEY FEATURES  100% coverage of exam topics  Hands-on coding examples and exercises  Helps readers avoid exam traps and pitfalls  Hundreds of sample questions  Crib Sheets AUDIENCE Written for developers with a working knowledge of Java who want to earn the OCA Java SE 8 Programmer I Certification. ABOUT THE TECHNOLOGY The Oracle Certified Associate (OCA) Java SE 8 measures day-to-day programming and the ability to handle typical situations found in a variety of projects.

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DESCRIPTION Node.js has rapidly become a viable choice for large-scale web applications that previously relied on Java, PHP, or Rails. Sails.js is a modern MVC framework for Node that radically simplifies back-end web development. Sails provides full support for data access, real-time programming with web sockets, enterprise-caliber security, and modern development workflow patterns. It also offers powerful productivity features like rapid API development via Sails blueprints, task automation via node-machines, and easy integration with frontend frameworks like Ember and Angular. Sails.js in Action is a comprehensive guide to building enterprisecapable web applications using Node and Sails. Written by the creators of the Sails.js framework, this book carefully introduces each concept, technique, and tool with real-world examples and crystal-clear explanations. Readers follow perfectly-paced, gap-free instruction as they learn to build the back end of a typical Single Page Web Application. As readers hone skills, they explore advanced features like services, hooks, and file uploads. Along the way, they learn to fully understand Node's asynchronous programming model and the syntax and conventions used to implement it. KEY FEATURES• Real-world examples and crystal-clear explanations • Comprehensive guide to building enterprise level web apps • Learn to build Single Page Web Applications • Teaches concepts and practical techniques AUDIENCE Readers should be comfortable with JavaScript and front-end web development. Perfect for back-end developers making the transition to JavaScript and Node. ABOUT THE TECHNOLOGY Sails.js is a modern MVC framework for Node that radically simplifies back-end web development. Node.js has rapidly become a viable choice for large-scale web applications that previously relied on Java, PHP, or Rails.

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DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive amounts of information to offer insights and make decisions in a way that matches or even surpasses human cognitive abilities. These systems use sophisticated computational and statistical tools to build models that can recognize and visualize patterns, predict outcomes, forecast values, and make recommendations. Real-World Machine Learning is a practical guide designed to teach developers the art of ML project execution. The book introduces the day-to-day practice of machine learning and prepares readers to successfully build and deploy powerful ML systems. Using the Python language and the R statistical package, it starts with core concepts like data acquisition and modeling, classification, and regression. Then it moves through the most important ML tasks, like model validation, optimization and feature engineering. It uses real-world examples that help readers anticipate and overcome common pitfalls. Along the way, they will discover scalable and online algorithms for large and streaming data sets. Advanced readers will appreciate the in-depth discussion of enhanced ML systems through advanced data exploration and pre-processing methods. KEY FEATURES Accessible and practical introduction to machine learning Contains big-picture ideas and real-world examples Prepares reader to build and deploy powerful predictive systems Offers tips & tricks and highlights common pitfalls AUDIENCE Code examples are in Python and R. No prior machine learning experience required. ABOUT THE TECHNOLOGY Machine learning has gained prominence due to the overwhelming successes of Google, Microsoft, Amazon, LinkedIn, Facebook, and others in their use of ML. The Gartner report predicts that big data analytics will be a $25 billion market by 2017, and financial firms, marketing organizations, scientific facilities, and Silicon Valley startups are all demanding machine learning skills from their developers.

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