Books published by Shroff/O'Reilly at best prices | Best of Shroff/O'Reilly (176 books)

Kotlin Cookbook: A Problem-Focused Approach

Kotlin Cookbook: A Problem-Focused Approach

All Indian Reprints of O'Reilly are printed in Grayscale.

Use Kotlin to build Android apps, web services, web applications, and more-while you learn the nuances of this popular language. With this unique cookbook, developers will learn how to apply this J-based language to their own projects. Both experienced programmers and those new to Kotlin will benefit from the practical recipes in this book.

Author Ken Kousen (Modern Java Recipes) shows you how to solve problems with Kotlin by concentrating on your own use cases rather than on basic syntax. You provide the context and this book supplies the answers. Already big in Android development, Kotlin can be used anywhere Java is applied, as well as for iOS development, native applications, JavaScript generation, and more. Jump in and build meaningful projects with Kotlin today.

  • Apply functional programming concepts, including lambdas, sequences, and concurrency
  • See how to use delegates, late initialization, and scope functions
  • Explore Java interoperability and access Java libraries using Kotlin
  • Add your own extension functions
  • Use helpful libraries such as Anko and JUnit 5
  • Get practical advice for working with specific frameworks, like Android and Spring

Cloud Native Data Center Networking: Architecture, Protocols, and Tools

Cloud Native Data Center Networking: Architecture, Protocols, and Tools

All Indian Reprints of O'Reilly are printed in Grayscale.

If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you're pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that's affordable, high capacity, easy to manage, agile, and reliable.

Ideal for network architects, data center operators, and network and containerized application developers, this book mixes theory with practice to guide you through the architecture and protocols you need to create and operate a robust, scalable network infrastructure. The book offers a vendor-neutral way to look at network design. For those interested in open networking, this book is chock-full of examples using open source software, from FRR to Ansible.

In the context of a cloud native data center, you'll examine:

  • Clos topology
  • Network disaggregation
  • Network operating system choices
  • Routing protocol choices
  • Container networking
  • Network virtualization and EVPN
  • Network automation

Rs. 1700.0

Real-World Software Development: A Project-Driven Guide to Fundamentals in Java

Real-World Software Development: A Project-Driven Guide to Fundamentals in Java

All Indian Reprints of O'Reilly are printed in Grayscale.

Explore the latest Java-based software development techniques and methodologies through the project-based approach in this practical guide. Unlike books that use abstract examples and lots of theory, Real-World Software Development shows you how to develop several relevant projects while learning best practices along the way.

With this engaging approach, junior developers capable of writing basic Java code will learn about state-of-the-art software development practices for building modern, robust and maintainable Java software. You'll work with many different software development topics that are often excluded from software develop how-to references.

Featuring real-world examples, this book teaches you techniques and methodologies for functional programming, automated testing, security, architecture, and distributed systems.

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith

All Indian Reprints of O'Reilly are printed in Grayscale.

How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman's extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.

With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You'll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture.

  • Ideal for organizations looking to transition to microservices, rather than rebuild
  • Helps companies determine whether to migrate, when to migrate, and where to begin
  • Addresses communication, integration, and the migration of legacy systems
  • Discusses multiple migration patterns and where they apply
  • Provides database migration examples, along with synchronization strategies
  • Explores application decomposition, including several architectural refactoring patterns
  • Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more

Digital Transformation Game Plan: 34 Tenets for Masterfully Merging Technology and Business

Digital Transformation Game Plan: 34 Tenets for Masterfully Merging Technology and Business

All Indian Reprints of O'Reilly are printed in Grayscale.

The Digital Age is having a broad and profound impact on companies and entire industries. Rather than simply automate or embed digital technology into existing offerings, your business needs to rethink everything. In this practical book, three ThoughtWorks professionals provide a game plan to help your business through this transformation, along with technical concepts that you need to know to be an effective leader in a modern digital business.

Chock-full of practical advice and case studies that show how businesses have transitioned, this book reveals lessons learned in guiding companies through digital transformation. While there's no silver bullet available, you'll discover effective ways to create lasting change at your organization.

With this book, you'll discover how to:

  • Realign the business and operating architecture to focus on customer value
  • Build a more responsive and agile organization to deal with speed and ambiguity
  • Build next generation technology capability as a core differentiator

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

All Indian Reprints of O'Reilly are printed in Grayscale.

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.

Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.

  • Learn how to deploy deep learning models to production
  • Explore PyTorch use cases in companies other than Facebook
  • Learn how to apply transfer learning to images
  • Apply cutting-edge NLP techniques using a model trained on Wikipedia

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

All Indian Reprints of O'Reilly are printed in Grayscale.

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.

Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.

You'll get the guidance you need to confidently:

  • Find and wrangle time series data
  • Undertake exploratory time series data analysis
  • Store temporal data
  • Simulate time series data
  • Generate and select features for a time series
  • Measure error
  • Forecast and classify time series with machine or deep learning
  • Evaluate accuracy and performance

Rs. 1750.0

Google BigQuery: The Definitive Guide - Data Warehousing, Analytics, and Machine Learning at Scale

Google BigQuery: The Definitive Guide - Data Warehousing, Analytics, and Machine Learning at Scale

All Indian Reprints of O'Reilly are printed in Grayscale.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you'll examine how to analyze data at scale to derive insights from large datasets efficiently.

Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you're not familiar with or prefer to focus on specific tasks, this reference is indispensable.

Rs. 1750.0

97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts

97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts

All Indian Reprints of O'Reilly are printed in Grayscale.

Tap into the wisdom of experts to learn what every engineering manager should know. With 97 short and extremely useful tips for engineering managers, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your management skills through sound advice.

Managing people is hard, and the industry as a whole is bad at it. Many managers lack the experience, training, tools, texts, and frameworks to do it well. From mentoring interns to working in senior management, this book will take you through the stages of management and provide actionable advice on how to approach the obstacles you'll encounter as a technical manager.

A few of the 97 things you should know:

  • "Three Ways to Be the Manager Your Report Needs" by Duretti Hirpa
  • "The First Two Questions to Ask When Your Team Is Struggling" by Cate Huston
  • "Fire Them!" by Mike Fisher
  • "The 5 Whys of Organizational Design" by Kellan Elliott-McCrea
  • "Career Conversations" by Raquel Vélez
  • "Using 6-Page Documents to Close Decisions" by Ian Nowland
  • "Ground Rules in Meetings" by Lara Hogan

Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes

Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes

All Indian Reprints of O'Reilly are printed in Grayscale.

In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples.

This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time.

  • Set up and develop applications in Kubernetes
  • Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks
  • Understand Kubernetes networking policies and where service mesh fits in
  • Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes
  • Run machine learning workloads in Kubernetes

Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking

Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking

All Indian Reprints of O'Reilly are printed in Grayscale.

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.

Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python.

  • Write applications that use BPF to observe and modify the Linux kernel's behavior on demand
  • Inject code to monitor, trace, and observe events in the kernel in a secure way-no need to recompile the kernel or reboot the system
  • Explore code examples in C, Go, and Python
  • Gain a more thorough understanding of the BPF program lifecycle

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

All Indian Reprints of O'Reilly are printed in Grayscale.

Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use.

  • Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite
  • Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral
  • Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies
  • Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning
  • Use transfer learning to train models in minutes
  • Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Rs. 1700.0

Semantic Software Design: A New Theory and Practical Guide for Modern Architects

Semantic Software Design: A New Theory and Practical Guide for Modern Architects

All Indian Reprints of O'Reilly are printed in Grayscale.

With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect.

This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system's success.

  • Get a practical set of proven architecture practices focused on shipping great products using architecture
  • Learn how architecture works effectively with development teams, management, and product management teams through the value chain
  • Find updated special coverage on machine learning architecture
  • Get usable templates to start incorporating into your teams immediately
  • Incorporate business architecture, information architecture, data architecture, and application (software) architecture together

Rs. 1200.0

Istio: Up and Running - Using a Service Mesh to Connect, Secure, Control, and Observe

Istio: Up and Running - Using a Service Mesh to Connect, Secure, Control, and Observe

All Indian Reprints of O'Reilly are printed in Grayscale.

You did it. You successfully transformed your application into a microservices architecture. But now that you're running services across different environments-public to public, private to public, virtual machine to container-your cloud native software is beginning to encounter reliability issues.

How do you stay on top of this ever-increasing complexity? With the Istio service mesh, you'll be able to manage traffic, control access, monitor, report, get telemetry data, manage quota, trace, and more with resilience across your microservice.

In this book, Lee Calcote and Zack Butcher explain why your services need a service mesh and demonstrate step-by-step how Istio fits into the life cycle of a distributed application. You'll learn about the tools and APIs for enabling and managing many of the features found in Istio.

  • Explore the observability challenges Istio addresses
  • Use request routing, traffic shifting, fault injection, and other features essential to running a solid service mesh
  • Generate and collect telemetry information
  • Try different deployment patterns, including A/B, blue/green, and canary
  • Get examples of how to develop and deploy real-world applications with Istio support

Kubernetes: Up and Running - Dive into the Future of Infrastructure, Second Edition

Kubernetes: Up and Running - Dive into the Future of Infrastructure, Second Edition

All Indian Reprints of O'Reilly are printed in Grayscale.

Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.

Kelsey Hightower, Brendan Burns, and Joe Beda-who've worked on Kubernetes at Google and beyond-explain how this system fits into the lifecycle of a distributed application. You'll learn how to use tools and APIs to automate scalable distributed systems, whether it's for online services, machine learning applications, or a cluster of Raspberry Pi computers.

  • Create a simple cluster to learn how Kubernetes works
  • Dive into the details of deploying an application using Kubernetes
  • Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets
  • Explore deployments that tie together the lifecycle of a complete application
  • Get practical examples of how to develop and deploy real-world applications in Kubernetes

AWS System Administration: Best Practices for Sysadmins in the Amazon Cloud

AWS System Administration: Best Practices for Sysadmins in the Amazon Cloud

with platforms designed for rapid adaptation and failure recovery such as Amazon web services, cloud computing is more like programming than traditional system administration. Tools for automatic scaling and instance replacement allow even small DevOps teams to manage massively scalable application infrastructure team members drop their old views of development and operations and start mastering automation.
This comprehensive guide shows developers and system administrators how to configure and manage AWS services including EC2, cloud formation, elastic load balancing, S3, and route 53. Systems will learn will learn to automate their favorites tools and processes; developers will pick up enough ops knowledge to build a robust and resilient AWS application infrastructure.

  • launch instances with EC2 or cloud formation

  • Securely deploy and manage your applications with awe tools
    Learn to automate AWS configuration management with Python and Puppet
    Deploy applications with auto scaling and elastic load balancing
    Explore approaches for deploying application and infrastructure updates
    Save time on development and operations with reusable components
    Learn strategies for managing log files in awe environments
    Use AWS cloud watch to monitor your infrastructure and applications
    .

    Database Internals: A Deep Dive into How Distributed Data Systems Work

    Database Internals: A Deep Dive into How Distributed Data Systems Work

    All Indian Reprints of O'Reilly are printed in Grayscale.

    When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

    Throughout the book, you'll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You'll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.

    This book examines:

    • Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each
    • Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log
    • Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns
    • Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

    Rs. 1100.0

    Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow: Concepts, Tools and Techniques to Build Intelligent Systems (Colour Edition)

    Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow: Concepts, Tools and Techniques to Build Intelligent Systems (Colour Edition)

    Full Color Edition

    Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

    By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

    • Explore the machine learning landscape, particularly neural nets
    • Use Scikit-Learn to track an example machine-learning project end-to-end
    • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
    • Use the TensorFlow library to build and train neural nets
    • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
    • Learn techniques for training and scaling deep neural nets

    Rs. 2275.0

    Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

    Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

    All Indian Reprints of O'Reilly are printed in Grayscale.

    Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.

    Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you'll understand how to apply Automated Machine Learning to your data right away.

    • Learn how companies in different industries are benefiting from Automated Machine Learning
    • Get started with Automated Machine Learning using Azure
    • Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning
    • Understand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiences
    • Learn how to get started using Automated Machine Learning for use cases including classification and regression.

    Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

    Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

    All Indian Reprints of O'Reilly are printed in Grayscale.

    Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.

    Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.

    You'll explore:

    • Examples of how data analysis can help you solve several SAP challenges
    • Natural language processing for unlocking the secrets in text
    • Data science techniques for data clustering and segmentation
    • Methods for detecting anomalies in your SAP data
    • Data visualization techniques for making your data come to life

    Rs. 1000.0

    Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation

    Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation

    most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can productively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments.
    system weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ miles explains why, when, and how to test systems, processes, and team responses using simulated failures on game days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization.

    Learn to think like a chaos engineer
    Write, run, and learn from automated chaos experiments using the open source chaos toolkit
    Turn chaos experiments into tests to confirm that you’ve overcome the weaknesses You discovered
    .

    Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

    Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

    generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavours such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders, generative adversarial networks (gans), encoder-decoder models, and world models.
    author David foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and Tricks, you’ll understand how to make your models learn more efficiently and become more creative.

    Build practical Gan examples from scratch, including cyclegan for style transfer and musegan for music generation
    Create recurrent generative models for text generation and learn how to improve the models using attention
    .

    Programming Quantum Computers: Essential Algorithms and Code Samples

    Programming Quantum Computers: Essential Algorithms and Code Samples

    All Indian Reprints of O'Reilly are printed in Grayscale.

    Quantum computers are set to kick-start a second computing revolution in an exciting and intriguing way. Learning to program a Quantum Processing Unit (QPU) is not only fun and exciting, but it's a way to get your foot in the door. Like learning any kind of programming, the best way to proceed is by getting your hands dirty and diving into code.

    This practical book uses publicly available quantum computing engines, clever notation, and a programmer's mindset to get you started. You'll be able to build up the intuition, skills, and tools needed to start writing quantum programs and solve problems that you care about.

    Designing Web Navigation: Optimizing the User Experience

    Designing Web Navigation: Optimizing the User Experience

    All Indian Reprints of O'Reilly are printed in Grayscale.

    Thoroughly rewritten for today's web environment, this bestselling book offers a fresh look at a fundamental topic of web site development: navigation design. Amid all the changes to the Web in the past decade, and all the hype about Web 2.0 and various "rich" interactive technologies, the basic problems of creating a good web navigation system remain. Designing Web Navigation demonstrates that good navigation is not about technology-it's about the ways people find information, and how you guide them.

    Ideal for beginning to intermediate web designers, managers, other non-designers, and web development pros looking for another perspective, Designing Web Navigation offers basic design principles, development techniques and practical advice, with real-world examples and essential concepts seamlessly folded in. How does your web site serve your business objectives? How does it meet a user's needs? You'll learn that navigation design touches most other aspects of web site development. This book:

    • Provides the foundations of web navigation and offers a framework for navigation design
    • Paints a broad picture of web navigation and basic human information behavior
    • Demonstrates how navigation reflects brand and affects site credibility
    • Helps you understand the problem you're trying to solve before you set out to design
    • Thoroughly reviews the mechanisms and different types of navigation
    • Explores "information scent" and "information shape"
    • Explains "persuasive" architecture and other design concepts
    • Covers special contexts, such as navigation design for web applications
    • Includes an entire chapter on tagging

    Rs. 1500.0

    Books published by Shroff/O'Reilly at best prices | Best of Shroff/O'Reilly (176 books)

    Books published by Shroff/O'Reilly at best prices | Best of Shroff/O'Reilly (176 books) Price
    Kotlin Cookbook: A Problem-Focused Approach Rs. 878.0
    Cloud Native Data Center Networking: Architecture, Protocols, and Tools Rs. 1700.0
    Real-World Software Development: A Project-Driven Guide to Fundamentals in Java Rs. 725.0
    Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Rs. 800.0
    Digital Transformation Game Plan: 34 Tenets for Masterfully Merging Technology and Business Rs. 725.0
    Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications Rs. 768.0
    Practical Time Series Analysis: Prediction with Statistics and Machine Learning Rs. 1750.0
    Google BigQuery: The Definitive Guide - Data Warehousing, Analytics, and Machine Learning at Scale Rs. 1750.0
    97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts Rs. 700.0
    Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes Rs. 750.0
    Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking Rs. 650.0
    Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Rs. 1700.0
    Semantic Software Design: A New Theory and Practical Guide for Modern Architects Rs. 1200.0
    Istio: Up and Running - Using a Service Mesh to Connect, Secure, Control, and Observe Rs. 950.0
    Kubernetes: Up and Running - Dive into the Future of Infrastructure, Second Edition Rs. 975.0
    AWS System Administration: Best Practices for Sysadmins in the Amazon Cloud Rs. 921.0
    Database Internals: A Deep Dive into How Distributed Data Systems Work Rs. 1100.0
    Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow: Concepts, Tools and Techniques to Build Intelligent Systems (Colour Edition) Rs. 2275.0
    Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions Rs. 700.0
    Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data Rs. 1000.0
    Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation Rs. 625.0
    Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play Rs. 950.0
    Programming Quantum Computers: Essential Algorithms and Code Samples Rs. 975.0
    Designing Web Navigation: Optimizing the User Experience Rs. 1500.0

    Bot