Generative AI-Powered Assistant for Developers. Accelerate software development with Amazon Q Developer

Behram Irani, Rahul Sonawane

Many developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows.This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience.By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.

API Analytics for Product Managers. Understand key API metrics that can help you grow your business

Deepa Goyal, Kin Lane

APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation?API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development.Of course, it's not all about the product—as any good product manager knows; you need to understand your customers’ needs, expectations, and satisfaction too. Once you've gathered your data, you’ll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals.By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.

Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server

Patrick Sarsfield, Brandi Locker, Adam Mico

Tableau Server is a business intelligence application that provides a centralized location to store, edit, share, and collaborate on content, such as dashboards and curated data sources. This book gets you up and running with Tableau Server to help you increase end-user engagement for your published work as well as reduce or eliminate redundant tasks.You’ll explore Tableau Server's structure and how to get started by connecting, publishing content, and navigating the software interface. Next, you’ll learn when and how to update the settings of your content at various levels to best utilize Tableau Server’s features. You’ll understand how to interact with the Tableau Server interface to locate, sort, filter, manage and customize content. Later, the book shows you how to leverage other valuable features that enable you and your audience to share, download, and interact with content on Tableau Server. As you progress, you’ll cover principles to increase the performance of your published content. All along, the book shows you how to navigate, interact with, and use Tableau Server with the help of engaging examples and best practices shared by recognized Tableau professionals.By the end of this Tableau book, you’ll have a solid understanding of how to use Tableau Server to manage content, automate tasks, and increase end-user engagement.

Offline First Web Development. Design and build robust offline-first apps for exceptional user experience even when an internet connection is absent

Daniel Sauble

When building mobile apps, it’s easy to forget about the moments when your users lack a good Internet connection. Put your phone in airplane mode, open a few popular apps, and you’ll quickly see how they handle being offline. From Twitter to Pinterest to Apple Maps, some apps might handle being offline better—but very few do it well. A poor offline experience will result in frustrated users who will abandon your app, or worse, turn to your competitor’s appsExpert or novice, this book will teach you everything you need to know about designing and building a rigorous offline app experience. By putting the offline experience first, you’ll have a solid foundation to build upon, avoiding the unnecessary stress and frustration of trying to retrofit offline capabilities into your finished app. This basic principle, designing for the worst-case scenario, could save you countless hours of wasted effort.

Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition

Joseph Howse, Joe Minichino

Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3.You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age.By the end of this book, you’ll have the skills you need to execute real-world computer vision projects.

Unity 5.x By Example. An example-based practical guide to get you up and running with Unity 5.x

Alan Thorn

Unity is an exciting and popular engine in the game industry. Throughout this book, you’ll learn how to use Unity by making four fun game projects, from shooters and platformers to exploration and adventure games.Unity 5 By Example is an easy-to-follow guide for quickly learning how to use Unity in practical context, step by step, by making real-world game projects. Even if you have no previous experience of Unity, this book will help you understand the toolset in depth. You'll learn how to create a time-critical collection game, a twin-stick space shooter, a platformer, and an action-fest game with intelligent enemies. In clear and accessible prose, this book will present you with step-by-step tutorials for making four interesting games in Unity 5 and explain all the fundamental concepts along the way. Starting from the ground up and moving toward an intermediate level, this book will help you establish a strong foundation in making games with Unity 5.

Oracle Goldengate 11g Complete Cookbook. Dig deep into administering Oracle Goldengate 11g using this comprehensive cookbook. From the very basics of installation to advanced features like migration, you'll learn the practical way through code scripts and examples

Ankur Gupta

Oracle Goldengate 11g Complete Cookbook is your complete guide to all aspects of Goldengate administration. The recipes in this book will teach you how to setup Goldengate configurations for simple and complex environments requiring various filtering and transformations. It also covers various aspects of tuning and troubleshooting the replication setups using exception handling, custom fields, and logdump utility.The book begins by explaining some basic tasks like Installation and Process groups setup. You will then be introduced to some further topics including DDL replication and various options to perform Initial Loads. You will then learn some advanced administration tasks such as Multi Master replication setup and conflict resolution. Further recipes, contain the cross platform replication and high availability options for Goldengate.

Learn D3.js. Create interactive data-driven visualizations for the web with the D3.js library

Helder da Rocha

This book is a practical hands-on introduction to D3 (Data-driven Documents): the most popular open-source JavaScript library for creating interactive web-based data visualizations. Based entirely on open web standards, D3 provides an integrated collection of tools for efficiently binding data to graphical elements. If you have basic knowledge of HTML, CSS and JavaScript you can use D3.js to create beautiful interactive web-based data visualizations.D3 is not a charting library. It doesn’t contain any pre-defined chart types, but can be used to create whatever visual representations of data you can imagine. The goal of this book is to introduce D3 and provide a learning path so that you obtain a solid understanding of its fundamental concepts, learn to use most of its modules and functions, and gain enough experience to create your own D3 visualizations. You will learn how to create bar, line, pie and scatter charts, trees, dendograms, treemaps, circle packs, chord/ribbon diagrams, sankey diagrams, animated network diagrams, and maps using different geographical projections. Fundamental concepts are explained in each chapter and then applied to a larger example in step-by-step tutorials, complete with full code, from hundreds of examples you can download and run. This book covers D3 version 5 and is based on ES2015 JavaScript.

Mastering NetScaler VPX. Learn how to deploy and configure all the available Citrix NetScaler features with the best practices and techniques you need to know

Rick Roetenberg, Marius Sandbu, Andy Paul

Citrix NetScaler is one of the best Application Delivery Controller products in the world. The Application Delivery Controllers are commonly used for load balancing purposes, to optimize traffic, and to perform extra security settings.This book will give you an insight into all the available features that the Citrix NetScaler appliance has to offer. The book will start with the commonly used NetScaler VPX features, such as load balancing and NetScaler Gateway functionality. Next, we cover features such as Responder, Rewrite, and the AppExpert templates, and how to configure these features. After that, you will learn more about the other available Citrix technologies that can interact with Citrix NetScaler. We also cover troubleshooting, optimizing traffic, caching, performing protection using Application Firewall, and denying HTTP DDoS attacks for web services.Finally, we will demonstrate the different configuration principles real-world Citrix NetScaler deployment scenarios.

Agile Project Management with GreenHopper 6 Blueprints. Written by an Agile enthusiast, this comprehensive guide to GreenHopper will help you track and manage your projects in a way that achieves the best value for your team. Excellent reading for everybody from stakeholders to scrum masters

Jaibeer Malik

Agile methodologies like Scrum focus on customer values in an incremental way. Regular planning, tracking, reporting, and improving can become equally challenging from a project management perspective. GreenHopper is a tooling support for JIRA that offers easy adoption of agile practices through rich interfaces for effective team collaboration and project management.Agile Project Management with GreenHopper 6 Blueprints is a step-by-step guide that teaches you how to manage agile projects using the GreenHopper tooling system. With easy adoption using pre-sets for Scrum & Kanban, the rich interface focuses on the work at hand, increasing team productivity. Executing sprints, tracking sprints, and reporting on agile projects has never been so easy. The integration with different development environments helps teams to focus on collaboration, communication, and continuous improvement. This book covers agile project management concepts using GreenHopper.You will learn about backlog management for your agile team, how to create projects and boards for your agile team, and how to create new backlog items, prioritize items, estimate backlog items, create sprints, and update technical task status and report on the same.You will learn everything you need to know about managing an agile project using GreenHopper and how to achieve the best value for your team.

PHP 5 CMS Framework Development. For professional PHP developers, this is the perfect guide to web-oriented frameworks and content management systems. Covers all the critical design issues and programming techniques in an easy-to-follow style and structure

Martin Brampton

If you want an insight into the critical design issues and programming techniques required for a web oriented framework in PHP5, this book will be invaluable. Whether you want to build your own CMS style framework, want to understand how such frameworks are created, or simply want to review advanced PHP5 software development techniques, this book is for you.As a former development team leader on the renowned Mambo open-source content management system, author Martin Brampton offers unique insight and practical guidance into the problem of building an architecture for a web oriented framework or content management system, using the latest versions of popular web scripting language PHP.The scene-setting first chapter describes the evolution of PHP frameworks designed to support web sites by acting as content management systems. It reviews the critical and desirable features of such systems, followed by an overview of the technology and a review of the technical environment.Following chapters look at particular topics, with:‚Ģ A concise statement of the problem ‚Ģ Discussion of the important design issues and problems faced ‚Ģ Creation of the framework solutionAt every point, there is an emphasis on effectiveness, efficiency and security ‚Äì all vital attributes for sound web systems. By and large these are achieved through thoughtful design and careful implementation.Early chapters look at the best ways to handle some fundamental issues such as the automatic loading of code modules and interfaces to database systems. Digging deeper into the problems that are driven by web requirements, following chapters go deeply into session handling, caches, and access control.New for this edition is a chapter discussing the transformation of URLs to turn ugly query strings into readable strings that are believed to be more ‚Äúsearch engine friendly‚Äù and are certainly more user friendly. This topic is then extended into a review of ways to handle ‚Äúfriendly‚Äù URLs without going through query strings, and how to build RESTful interfaces.The final chapter discusses the key issues that affect a wide range of specific content handlers and explores a practical example in detail.

Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition

Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali

Unleash the power of data to reach your marketing goals with this practical guide to data science for business.This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects.You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions.As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior.By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making.

PhantomJS Cookbook. Over 70 recipes to help boost the productivity of your applications using real-world testing with PhantomJS

Rob Friesel

MySQL Admin Cookbook LITE: Replication and Indexing. Make your database quicker, more efficient, and better organized with replication and indexing

Udo Schwedt, Daniel Schneller

Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Harry Cooney, Daisy Jones

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success.The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam.As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud.Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.

Swift by Example

Giordano Scalzo

Datadog Cloud Monitoring Quick Start Guide. Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

Thomas Kurian Theakanath

Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how.The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform.By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.

SDL Game Development. If you're good with C++ and object oriented programming, this book utilizes your skills to create 2D games using the Simple DirectMedia Layer API. Practical tutorials include the development of two wickedly good games

Shaun Mitchell

SDL 2.0 is the latest release of the popular Simple DirectMedia Layer API, which is designed to make life easier for C++ developers, allowing you simple low-level access to various multiplatform audio, graphics, and input devices.SDL Game Development guides you through creating your first 2D game using SDL and C++. It takes a clear and practical approach to SDL game development, ensuring that the focus remains on creating awesome games.Starting with the installation and setup of SDL, you will quickly become familiar with useful SDL features, covering sprites, state management, and OOP, leading to a reusable framework that is extendable for your own games. SDL Game Development culminates in the development of two exciting action games that utilize the created framework along with tips to improve the framework.

Building Wireless Sensor Networks Using Arduino. Leverage the powerful Arduino and XBee platforms to monitor and control your surroundings

Matthijs Kooijman

Terraform for Google Cloud Essential Guide. Learn how to provision infrastructure in Google Cloud securely and efficiently

Bernd Nordhausen

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.

The Complete Power BI Interview Guide. A modern approach to acing the data analyst interview and landing your dream job

Sandielly Ortega Polanco, Gogula Aryalingam, Abu Bakar Nisar Alvi

The Complete Power Interview Guide helps you excel in a Power BI interview, secure desired roles, and be ready with the knowledge and skills to ace your role from the first day. Whether you're beginning your career journey or transitioning into a data analytics role, this guide offers hands-on skills and interview questions you need to succeed as a BI or data analyst. This book also offers supplemental content for PowerBI certification exams like PL-300. The book will equip you with the knowledge and strategies to effectively navigate the competitive job market. From creating an outstanding online professional profile to optimizing your resume and building a compelling work portfolio, you'll learn how to establish a strong personal brand. The essentials of Power BI, including data preparation, data modeling, DAX programming, expert report development, and impactful storytelling, are covered in-depth through real-world examples and valuable tips.By the end of this book, you'll have the confidence to interview for Power BI roles, navigate technical assessments, answer behavioral questions, and tackle case studies. You’ll have gained applied knowledge and the competitive edge needed to succeed in the data analytics job market and stay ahead of industry trends for career advancement.

Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

Rahul Raj

Java is one of the most widely used programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently.This book starts by showing you how to install and configure Java and DL4J on your system. You will then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you will discover how to build a convolutional neural network (CNN) in DL4J, and understand how to construct numeric vectors from text. This deep learning book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you will learn how to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you will explore benchmarking in DL4J and optimize neural networks for optimal results.By the end of this book, you will have a clear understanding of how you can use DL4J to build robust deep learning applications in Java.

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who’s developed college-level courses on data preprocessing and related subjects. With this book, you’ll be equipped with the optimum data preprocessing techniques from multiple perspectives, ensuring that you get the best possible insights from your data. You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with implementing them using the open source Python programming environment. The hands-on examples and easy-to-follow chapters will help you gain a comprehensive articulation of data preprocessing, its whys and hows, and identify opportunities where data analytics could lead to more effective decision making. As you progress through the chapters, you’ll also understand the role of data management systems and technologies for effective analytics and how to use APIs to pull data.By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and handle outliers or missing values to effectively prepare data for analytic tools.