Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?
With Learning JavaScript Design Patterns, youll learn how to write beautiful, structured, and maintainable JavaScript by applying classical and modern design patterns to the language. If you want to keep your code efficient, more manageable, and up-to-date with the latest best practices, this book is for you.Explore many popular design patterns, including Modules, Observers, Facades, and Mediators. Learn how modern architectural patternssuch as MVC, MVP, and MVVMare useful from the perspective of a modern web application developer. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics.Learn the structure of design patterns and how they are writtenUnderstand different pattern categories, including creational, structural, and behavioralWalk through more than 20 classical and modern design patterns in JavaScriptUse several options for writing modular codeincluding the Module pattern, Asyncronous Module Definition (AMD), and CommonJSDiscover design patterns implemented in the jQuery libraryLearn popular design patterns for writing maintainable jQuery plug-ins"e;This book should be in every JavaScript developers hands. Its the go-to book on JavaScript patterns that will be read and referenced many times in the future."e;Andre Hansson, Lead Front-End Developer, presis!
Get up to speed on Git for tracking, branching, merging, and managing code revisions. Through a series of step-by-step tutorials, this practical guide takes you quickly from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating the many functions of this open source version control system.This thoroughly revised edition also includes tips for manipulating trees, extended coverage of the reflog and stash, and a complete introduction to the GitHub repository. Git lets you manage code development in a virtually endless variety of ways, once you understand how to harness the systems flexibility. This book shows you how.Learn how to use Git for several real-world development scenariosGain insight into Gits common-use cases, initial tasks, and basic functionsUse the system for both centralized and distributed version controlLearn how to manage merges, conflicts, patches, and diffsApply advanced techniques such as rebasing, hooks, and ways to handle submodulesInteract with Subversion (SVN) repositoriesincluding SVN to Git conversionsNavigate, use, and contribute to open source projects though GitHub
This in-depth book shows you ways to master strategic thinking, manage difficult projects, and set the standard for technical work. You'll learn how to be a leader without direct authority, how to plan ahead so that you're making the right technical decisions, and how to make everyone around you better.
This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform.
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people.With this book, you will:Learn the steps necessary to build a model from beginning to endUnderstand how to use different modeling and feature engineering approaches fluentlyExamine the options for avoiding common pitfalls of modeling, such as overfittingLearn practical methods to prepare your data for modelingTune models for optimal performanceUse good statistical practices to compare, evaluate, and choose among models
Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively.
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible.Author Dmitri Korotkevitch, Microsoft Data Platform MVP and Microsoft Certified Master (MCM), explains the interdependencies between SQL Server database components. You'll learn how to quickly diagnose your system and discover the root cause of any issue. Techniques in this book are compatible with all versions of SQL Server and cover both on-premises and cloud-based SQL Server installations.Discover how performance issues present themselves in SQL ServerLearn about SQL Server diagnostic tools, methods, and technologiesPerform health checks on SQL Server installationsLearn the dependencies between SQL Server componentsTune SQL Server to improve performance and reduce bottlenecksDetect poorly optimized queries and inefficiencies in query execution plansFind inefficient indexes and common database design issuesUse these techniques with Microsoft Azure SQL databases, Azure SQL Managed Instances, and Amazon RDS for SQL Server
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.Learn the key steps for preparing your data for analysisPerform time series analysis using SQL's date and time manipulationsUse cohort analysis to investigate how groups change over timeUse SQL's powerful functions and operators for text analysisDetect outliers in your data and replace them with alternate valuesEstablish causality using experiment analysis, also known as A/B testing
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start.You'll discover how to:Apply DevOps best practices to machine learningBuild production machine learning systems and maintain themMonitor, instrument, load-test, and operationalize machine learning systemsChoose the correct MLOps tools for a given machine learning taskRun machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.Google engineers Valliappa Lakshmanan, Martin Grner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.You'll learn how to:Design ML architecture for computer vision tasksSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your taskCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your modelPreprocess images for data augmentation and to support learnabilityIncorporate explainability and responsible AI best practicesDeploy image models as web services or on edge devicesMonitor and manage ML models
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.
Get up to speed with Helm, the preeminent package manager for the Kubernetes container orchestration system. This practical guide shows you how to efficiently create, install, and manage the applications running inside your containers. Helm maintainers Matt Butcher, Matt Farina, and Josh Dolitsky explain how this package manager fits into the Kubernetes ecosystem and provide an inside look at Helm's design and best practices.More than 70% of the organizations that work with Kubernetes use Helm today. While the Helm community provides thousands of packages, or charts, to help you get started, this book walks developers and DevOps engineers through the process of creating custom charts to package applications. If you have a working understanding of Kubernetes, you're ready to go.Explore primary features including frequently used Helm commandsLearn how to build and deploy Helm charts from scratchUse Helm to manage complexity and achieve repeatable deploymentsPackage an application and its dependencies for easy installationManage the entire lifecycle of applications on KubernetesExplore ways to extend Helm to add features and functionalityLearn features for testing, handling dependencies, and providing security
This practical guide presents Lean and Agile principles and patterns to help you move fast at scale - and demonstrates why and how to apply these methodologies throughout your organization, rather than with just one department or team.
This updated book shows your company how to use alignment diagrams to turn valuable customer observations into actionable insight. You'll learn how this unique tool helps you visually map your existing customer experience and envision future solutions.
By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs
As data floods into your company, you need to put it to work right away-and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports.
Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3.
Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
This book will demystify Angular as a framework, as well as provide clear instructions and examples on how to get started with writing scalable Angular applications.
Thinking of migrating to PostgreSQL? This clear, fast-paced introduction helps you understand and use this open source database system. Not only will you learn about the enterprise class features in versions 9.5 to 10, you'll also discover that PostgeSQL is more than a database system-it's an impressive application platform as well.
In order to thoroughly understand what makes Linux tick and why it works so well on a wide variety of systems, you need to delve deep into the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share processor time, in what order. It manages limited memory so well that hundreds of processes can share the system efficiently, and expertly organizes data transfers so that the CPU isn't kept waiting any longer than necessary for the relatively slow disks.The third edition of Understanding the Linux Kernel takes you on a guided tour of the most significant data structures, algorithms, and programming tricks used in the kernel. Probing beyond superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Important Intel-specific features are discussed. Relevant segments of code are dissected line by line. But the book covers more than just the functioning of the code; it explains the theoretical underpinnings of why Linux does things the way it does.This edition of the book covers Version 2.6, which has seen significant changes to nearly every kernel subsystem, particularly in the areas of memory management and block devices. The book focuses on the following topics:Memory management, including file buffering, process swapping, and Direct memory Access (DMA) The Virtual Filesystem layer and the Second and Third Extended FilesystemsProcess creation and schedulingSignals, interrupts, and the essential interfaces to device driversTimingSynchronization within the kernelInterprocess Communication (IPC) Program executionUnderstanding the Linux Kernel will acquaint you with all the inner workings of Linux, but it's more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. This book will help you make the most of your Linux system.
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs to code-specific systems.
Learn how to get started with Futures Thinking. With this practical guide, Phil Balagtas, founder of the Design Futures Initiative and the global Speculative Futures network, shows you how designers and futurists have made futures work at companies such as Atari, IBM, Apple, Disney, Autodesk, Lufthansa, and McKinsey & Company. This book demystifies the process of Futures Thinking into a language that's practical and useful for both designers and strategists. You'll learn about Strategic Foresight for using ideas about the future to anticipate and prepare for change; explore Speculative Design to deal with the relationship between science, technology, and humans; and Design Fiction to explore and critique possible futures. Balagtas also shares stories from his journey to build a global community and describes how he works with clients to reshape the futures vocabulary. With this guide, you'll learn how to: Prepare your client, team, and/or audience for futures Facilitate and work with the fundamental methods and frameworks Gain advocacy and support within your organization Provide measurable value from the process and outcomes Build a futures culture and team Sustain a culture and support system beyond projects
Frontend developers have to consider many things: browser compatibility, usability, performance, scalability, SEO, and other best practices. But the most fundamental aspect of creating websites is one that often falls short: accessibility. Accessibility is the cornerstone of any website, and if a website is inaccessible, users won't be able to interact with it, obtain information, sign up for services, or buy products. The Web Accessibility Cookbook provides you with dozens of recipes to help you avoid these failures. You'll learn how to build common components, such as main navigation, filters, and dialogs, in an accessible manner. Each recipe not only explains how to build things but also why. Author Manuel Matuzovic provides the knowledge you need to create your own accessible components and address your users' varying needs, abilities, and preferences. With this practical guide, you will: Learn how to build websites that feature inclusive frontends Discover the common obstacles website users face every day Understand how your decisions impact users Learn how to build accessible frontends step-by-step Write high-quality markup and CSS Evaluate the accessibility of frontend components
Build interactive, data-driven websites with the potent combination of open-source technologies and web standards, even if you have only basic HTML knowledge. With this popular hands-on guide, youll tackle dynamic web programming with the help of todays core technologies: PHP, MySQL, JavaScript, jQuery, CSS, and HTML5.Explore each technology separately, learn how to use them together, and pick up valuable web programming practices along the way. At the end of the book, youll put everything together to build a fully functional social networking site, using XAMPP or any development stack you choose.Learn PHP in-depth, along with the basics of object-oriented programmingExplore MySQL, from database structure to complex queriesUse the MySQLi Extension, PHPs improved MySQL interfaceCreate dynamic PHP web pages that tailor themselves to the userManage cookies and sessions, and maintain a high level of securityMaster the JavaScript languageand enhance it with jQueryUse Ajax calls for background browser/server communicationAcquire CSS2 and CSS3 skills for professionally styling your web pagesImplement all of the new HTML5 features, including geolocation, audio, video, and the canvas
A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking. This book shows software developers and architects how systems thinking can guide you through the emerging complexity of modern systems. Author Diana Montalion presents a vision of technology architecture that transforms how we learn, communicate, and collaborate with others. Through practical examples and scenarios, you'll learn how to develop critical self-reflection and decision-making skills amid complexity and uncertainty--and lead impactful cultural change within your organization. You'll learn: How linear thinking limits your perspective on software systems The obstacles to changing your perspective and how to move past them How systems and nonlinear thinking help you understand and navigate complex issues arising from internal and external factors Methods for creating sound, cross-functional recommendations in the midst of complexity and uncertainty How nonlinear approaches improve the quality of architectural thinking and deliver impactful change for organizations How to provide a modern style of leadership as software becomes information systems
JavaScript gives web developers great power to create rich interactive browser experiences, and much of that power is provided by the browser itself. Modern web APIs enable web-based applications to come to life like never before, supporting actions that once required browser plug-ins. Some are still in an experimental stage, but many are ready for use today. With this hands-on cookbook, author Joe Attardi helps you explore the powerful APIs available in modern browsers and guides you through the specific tasks that they unlock. Because these features are web standards, there is comprehensive documentation available from trusted resources such as MDN Web Docs. The knowledge you'll gain is transferable across different companies and projects. Learn the breadth of functionality available in modern browser APIs Explore future APIs that are still in an experimental stage Discover newer elements, such as dialog that replaces the need for a third-party library Build more powerful and interactive web applications using native APIs Understand the permissions model used by the browser to unlock functionality such as geolocation and push notifications
In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use PowerApps, Microsoft's no-code/low-code application framework that helps developers speed up development, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps. You'll learn fundamental concepts behind low-code and no-code development, how to build applications using pre-built and blank templates, how to design an app using Copilot AI and drag and drop PowerPoint-like controls, use Excel-like expressions to write business logic for an app, and integrate apps with external data sources. With this book, you'll: Learn the importance of no-code/low-code application development Design mobile/tablet (canvas apps) applications using pre-built and blank templates Design web applications (model-driven apps) using low-code, no-code, and pro-code components Integrate PowerApps with external applications Learn basic coding concepts like JavaScript, Power Fx, and C# Apply best practices to customize Dynamics 365 CE applications Dive into Azure DevOps and ALM concepts to automate application deployment Citizen developers and professional application developers alike will be able to design robust applications and solve real world business challenges using Power Apps. Arpit Shrivastava is a Microsoft MVP and Power Platform architect at Capgemini, with vast experience working with Microsoft Dynamics 365 and the Power Platform.
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