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  • [Erscheinungsort nicht ermittelbar] : Manning Publications  (16)
  • Audiobooks  (16)
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (62179 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox. Christopher Haupt, New Relic To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. about the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! about the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. what's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification about the audience For programmers with basic skills in algebra. about the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land A rigorous yet approachable overview of the mathematics that underpin a number of modern programming domains. Dan Sheikh, BCG Digital Ventures Engaging, practical, recommend for all levels. Vincent Zhu, rethinkxsocial.com It provides a bridge for programmers who need to brush up on their math skills, and does a nice job of making the math less mysterious and more approachable. Robert Walsh, Excalibur Solutions NARRATED BY DEREK LETTMAN
    Note: Online resource; Title from title page (viewed November 30, 2020) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (26688 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: From start to finish, the best book to help you learn AI algorithms and recall why and how you use them. Linda Ristevski, York Region District School Board Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization. about the technology Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI. about the book Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. what's inside Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot about the audience For software developers with high school–level algebra and calculus skills. about the author Rishal Hurbans is a technologist, founder, and international speaker. This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way. David Jacobs, Product Advance Local The most comprehensive content I have seen on AI algorithms. Karan Nih, Classic Software Solutions This book removes the fear of stepping into the mechanics of AI. Kyle Peterson, University of Iowa Athletics NARRATED BY JEROMY LLOYD AND JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed July 20, 2020) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (55517 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail. From the Foreword by Soumith Chintala, Cocreator of PyTorch Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. about the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. about the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at way...
    Note: Online resource; Title from title page (viewed July 1, 2020) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37865 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: This book took me from someone interested in Docker to someone using it effectively in several projects. Mark Elston, Advantest America Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases—just a quick-and-easy guide to the essentials of Docker you’ll use every day. about the technology The idea behind Docker is simple: package applica­tions in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators. about the book Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected by author Elton Stoneman, you’ll run containers by chapter 2 and package applications by chapter 3. Each lesson teaches a practical skill you can practice on Windows, macOS, and Linux systems. By the end of the month you’ll know how to containerize and run any kind of application with Docker. what's inside Package applications to run in containers Put containers into production Build optimized Docker images Run containerized apps at scale about the audience For IT professionals. No previous Docker experience required. about the author Elton Stoneman is a consultant, a former architect at Docker, a Microsoft MVP, and a Pluralsight author. A well-written and cogent approach to learning and implementing containerized applications with Docker. Philip Taffet, SOHOsoft This is a must-have resource for anyone wanting to come to grips with Docker—from novice to expert, there’s something for everyone. Kevin Orr, Sumus Solutions I recommend anyone serious about learning Docker begin with this book. Marcus Brown, Tradewind Energy NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed June 13, 2020) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (43220 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: A must-have resource. I thoroughly recommend it! Iain Campbell, Tango Telecom In Learn Kubernetes in a Month of Lunches you'll go from "what's a Pod?" to automatically scaling clusters of containers and components in just 22 hands-on lessons, each short enough to fit into a lunch break. Every lesson is task-focused and covers an essential skill on the road to Kubernetes mastery. You'll learn how to smooth container management with Kubernetes, including securing your clusters, and upgrades and rollbacks with zero downtime. No development stack, platform, or background is assumed. Author Elton Stoneman describes all patterns generically, so you can easily apply them to your applications and port them to other projects! about the technology Create apps that perform identically on your laptop, data center, and cloud! Kubernetes provides a consistent method for deploying applications on any platform, making it easy to grow. By efficiently orchestrating Docker containers, Kubernetes simplifies tasks like rolling upgrades, scaling, and self-healing. about the book Learn Kubernetes in a Month of Lunches is your guide to getting up and running with Kubernetes. You'll progress from Kubernetes basics to essential skills, learning to model, deploy, and manage applications in production. Exercises demonstrate how Kubernetes works with multiple languages and frameworks. You'll also practice with new apps, legacy code, and serverless functions. what's inside Deploying applications on Kubernetes clusters Understanding the Kubernetes app lifecycle, from packaging to rollbacks Self-healing and scalable apps Using Kubernetes as a platform for new technologies about the audience For readers familiar with Docker and containerization. about the author Elton Stoneman is a Docker Captain, a 11-time Microsoft MVP, and the author of Learn Docker in a Month of Lunches. Everything you need to get you up and running with Kubernetes. Marc-Anthony Taylor, yelster Digital GmbH Written from both the Dev and Ops perspective, this book reads like a delightful journey through the exciting landscape that is Kubernetes. Yogesh Shetty, ING Easy to follow real-world examples of how Kubernetes can and should be used. Sander Stad, Waypoint Analytical NARRATED BY NATE COLITTO
    Note: Online resource; Title from title page (viewed February 10, 2021) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (22961 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Comprehensive and in-depth coverage of the future of AI. Simeon Leyzerzon, Excelsior Software GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks. about the technology Generative Adversarial Networks, GANs, are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other—one to generate fakes and one to spot them—GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems. about the book GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast. what's inside Building your first GAN Handling the progressive growing of GANs Practical applications of GANs Troubleshooting your system about the audience For data professionals with intermediate Python skills, and the basics of deep learning–based image processing. about the author Jakub Langr is a Computer Vision Cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a Senior Product Manager overseeing machine learning infrastructure and research teams at a New York–based startup. An incredibly useful mix of practical and academic information. Dana Robinson, The HDF Group A great systematization of the rapidly evolving and vast GAN landscape. Grigory V. Sapunov, Intento Excellent writing combined with easy-to-grasp mathematical explanations. Bachir Chihani, C3 Strikes that rare balance between an applied programming book, an academic book heavy on theory, and a conversational blog post on machine learning techniques. Dr. Erik Sapper, California Polytechnic State University NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed September 9, 2019) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37021 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: An Airflow bible. Useful for all kinds of users, from novice to expert. Rambabu Posa, Sai Aashika Consultancy A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. about the technology Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task. about the book Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs. what's inside Build, test, and deploy Airflow pipelines as DAGs Automate moving and transforming data Analyze historical datasets using backfilling Develop custom components Set up Airflow in production environments about the audience For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills. about the author Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies. Bas is also an Airflow committer. An easy-to-follow exploration of the benefits of orchestrating your data pipeline jobs with Airflow. Daniel Lamblin, Coupang The one reference you need to create, author, schedule, and monitor workflows with Apache Airflow. Clear recommendation. Thorsten Weber, bbv Software Services AG By far the best resource for Airflow. Jonathan Wood, LexisNexis NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed May 9, 2021) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (22704 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: A wealth of information on general software architecture and truths that are applicable to any language. David T. Kerns, Rincon Research Corporation Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro , you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro. about the technology Professional-quality code does more than just run without bugs. It’s clean, readable, and easy to maintain. To step up from a capable Python coder to a professional developer, you need to learn industry standards for coding style, application design, and development process. That’s where this book is indispensable. about the book Practices of the Python Pro teaches you to design and write professional-quality software that’s understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes. With helpful examples and exercises, he teaches you when, why, and how to modularize your code, how to improve quality by reducing complexity, and much more. Embrace these core principles, and your code will become easier for you and others to read, maintain, and reuse. what's inside Organizing large Python projects Achieving the right levels of abstraction Writing clean, reusable code Inheritance and composition Considerations for testing and performance about the audience For readers familiar with the basics of Python, or another OO language. about the author Dane Hillard has spent the majority of his development career using Python to build web applications. Get this book, and begin to write Python code like a professional. Davide Cadamuro, BMW Group This will take a Python developer down a path to becoming a pro. Joseph Perenia, Sony Interactive Entertainment NARRATED BY LISA FARINA
    Note: Online resource; Title from title page (viewed December 22, 2019) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (66482 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: "A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems." Tim Moore, Lightbend Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice architecture, this clearly-written guide takes a balanced, pragmatic approach, exploring both the benefits and drawbacks. Successfully developing microservices-based applications requires mastering a new set of architectural insights and practices. In this unique book, microservice architecture pioneer and Java Champion Chris Richardson collects, catalogues, and explains 44 patterns that solve problems such as service decomposition, transaction management, querying, and inter-service communication. Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application. Inside: How (and why!) to use the microservice architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This book/course is made for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action , and creator of the original CloudFoundry.com. Pragmatic treatment of an important new architectural landscape. Simeon Leyzerzon, Excelsior Software A solid compendium of information that will quicken your migration to this modern cloud-based architecture. John Guthrie, Dell/EMC How to understand the microservices approach, and how to use it in real life. Potito Coluccelli, Bizmatica Econocom NARRATED BY AIDEN HUMPHREYS AND LOU FERNANDEZ
    Note: Online resource; Title from title page (viewed October 27, 2018) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; Audiobooks
    Abstract: Offers both guidelines and guidance on how to achieve a clear, consistent tone across a larger team. From the Foreword by Ross Tuck Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. 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. Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. about the technology Well-written OO code is a pleasure to read, modify, and debug. Elevate your coding style by mastering the universal best practices for object design presented in this book. These clearly presented rules, which apply to any OO language, maximize the clarity and durability of your codebase and increase productivity for you and your team. about the book Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. what's inside Universal design rules for a wide range of objects Best practices for testing objects A catalog of common object types Exercises for each chapter to test your object design skills about the audience For developers familiar with an object-oriented language and basic application architecture. about the author Matthias Noback is a professional web developer with nearly two decades of experience. He runs his own web deve...
    Note: Online resource; Title from title screen (viewed December 23, 2019) , Mode of access: World Wide Web.
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