Search results for ""o'reilly""

Ready to learn Rails? Unlike most Rails books, Learning Rails is for web developers, and not for programmers. Rather than begin with the inner layers of a Rails web application - the models and controllers - this book approaches Rails development from the outer layer: the view side of an application. You'll start from the foundations of the Web you already know, and learn how to create something visible with Rails before reaching the more difficult database models and controller code. Each chapter includes exercises and review questions so you can test your understanding as you go. Present content by building an application with a basic view and a simple controller, while learning Ruby along the way Build forms and process their results, progressing from simple to more complex Connect forms to models by setting up a database, and use Rails' Active Record to create code that maps to database structures Use Rails scaffolding to build applications from a view-centric perspective Add common web application elements such as sessions, cookies, and authentication Build applications that combine data from multiple tables Create simple but dynamic interfaces with Rails and Ajax Learning Rails 3 covers the most recent developments.

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"OK. I've got my Twitter account - now what can I do with it?" Sound familiar? #engage provides the answer with 25 creative projects to help your business, cause, or organization grow. But this isn't just another social media marketing book - it's the anti-marketing how-to community-engagement book. Twitter is not a marketing channel (and should never be used as such) but it is a community of interested, engaged, and influential people. Meeting and getting to know these people can help you build your own community. In this useful guide, you'll find projects to help you approach your Twitter audience in ways that are strategic, measurable, and fun. Put a new wrinkle on an old contest: "be the 10th person to tweet" Create a hashtag game around your company or products Instead of polling, ask your followers to help you make a product decision Make MadLibs out of your marketing copy or mission statement Hold a scavenger hunt, and relay clues via Twitter Organize a weekly Twitter chat on various subjects Solicit funny product shots, using Twitter's photo-sharing utility Spontaneously tweet from a store location: "Meet me now and win!"

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Automate your computing systems with Puppet, the popular configuration management framework. Through code samples and real-world examples, this concise introduction shows you how to use Puppet tools and templates to organize and execute configuration plans on your *nix servers. Learn how to manage pools of servers and virtual instances, and discover how Puppet helps you administer access control. If you're familiar with system administration and Ruby language basics, this book is the ideal way to get up to speed on this open source framework. Install Puppet and learn its manifest syntax and built-in functions Store configurations in a central location with Puppet Master, and define which configurations apply to which nodes Build a framework to create user accounts in place of LDAP or Kerberos KDC Apply techniques to execute and manage server configurations with MCollective Use Puppet as an auditing tool to ensure that configurations are correct Gather information on the nodes you manage with the Facter library

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Today's mobile devices have GPS and standard APIs to give you access to coordinates - but what can you do with that data? With this concise book, application developers learn how to work with location data quickly and easily, using Node.js, CouchDB, and other open source tools and libraries. Node.js makes it simple to run event code on the Web, and the CouchDB document-oriented database lets you store location data and perform complex queries on it quickly. You'll learn how to get started with these tools, and then use them together to build an example project called MapChat, using HTML and JavaScript code samples. * Learn how to serve dynamic content with Node.js, and use its asynchronous IO to handle several requests at once * Become familiar with GeoJSON, Geohash, and the Geospatial Data Abstraction Library (GDAL) for working with spatial data * Build geospatial indexes using the GeoCouch branch of CouchDB * Combine these tools to build a project that lets users post real-time chat messages tagged with their current map location

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For developers, content providers and sophisticated power users, Fluidinfo is an online information storage and search platform that supports shared openly writable metadata of any type and about anything. Fluidinfo helps content owners publish product information via a modern writable API, with flexible permissions and their domain name on their data. Developers can create lightweight applications that make data social while letting users personalize and search on anything.

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Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process. Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You'll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations. This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.

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Now that Apple has introduced the GameKit framework to its iOS SDK, you can integrate Game Center features directly into your iPhone and iPad apps. This concise cookbook shows you how it's done, with 18 targeted recipes for adding leaderboards, user authentication, achievements, multiplayer games, and many other features. How do you display players' scores and achievements? How do you create Game Center accounts and add friends? Each recipe in this book includes a simple code solution you can put to work immediately, along with a detailed discussion that offers insight into why and how the recipe works. Recipes include techniques to: * Set up Game Center for an iOS App * Use block objects and Grand Central Dispatch to write Game Center apps * Authenticate a local player in Game Center * Use iTunes Connect to create leaderboards and achievements * Retrieve leaderboard and achievement information programmatically * Handle players' state changes in multiplayer games

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Tips and tricks to make your life easier as a Drupal designer. Includes designer-friendly guides to Drush, Less CSS, Install Profiles, version control, and other things that usually only developers know about.

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Provides an overview of how Drupal works, lean UX strategies, and insight on how to plan and manage a Drupal project. Emphasis on the differences between Drupal and creating websites in straight HTML, Wordpress or Flash.

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If you have a Perl programming question, this pocket reference helps you find the answer quickly. The 5th edition of this handy little book-updated for Perl 5.14-provides a complete overview of the Perl programming language, and includes brief descriptions of Perl syntax rules, operators, and built-in functions. You'll also find the latest Perl features, such as enhanced regular expressions, object management, the Perl compiler, and Unicode support. Perl Pocket Reference condenses stacks of Perl documentation down to the most essential at-your-fingertips facts, organized so you can find what need in a heart beat. It's the perfect companion to O'Reilly's in-depth Perl programming tutorials, including Learning Perl, Programming Perl, and the Perl Cookbook.

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Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: * Use OAuth to access Twitter data * Create and analyze graphs of retweet relationships * Use the streaming API to harvest tweets in realtime * Harvest and analyze friends and followers * Discover friendship cliques * Summarize webpages from short URLs This book is a perfect companion to O'Reilly's Mining the Social Web.

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NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This revised cookbook provides easy-to-follow examples of real-world problems in application delivery. Practical recipes help you set up and use either the open source or commercial offering to solve problems in various use cases. For professionals who understand modern web architectures such as n-tier or microservice designs and common web protocols such as TCP and HTTP, these recipes include proven solutions for security and software load balancing and for monitoring and maintaining NGINX's application delivery platform. You'll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server. You'll find recipes for: High-performance load balancing with HTTP, TCP, and UDP Securing access through encrypted traffic, secure links, HTTP authentication subrequests, and more Deploying NGINX to Google, AWS, and Azure Cloud Services NGINX Plus as a service provider in a SAML environment HTTP/3 (QUIC), OpenTelemetry, and the njs module

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This book provides the first comprehensive method for hybrid multicloud security, integrating proven architectural techniques to deliver a comprehensive end-to-end security method with compliance, threat modeling, and zero trust practices.

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If you were handed two different but related sets of data, what tools would you use to find the matches? What if all you had was SQL SELECT access to a database? In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code. You'll learn how to: Identity and remove duplicates in two different datasets using SQL Regularize data and achieve data quality using SQL Extract data from XML and JSON Generate SQL using SQL to increase your productivity Prepare datasets for import, merging, and better analysis using SQL Report results using SQL Apply data quality and ETL approaches to finding similarities and differences between various expressions of the same data

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In this world of increasing relational complexity, we need to think differently. Many of our challenges are systemic. This book shows you how systems thinking can guide you through the complexity of modern systems.

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Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system.

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Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate build and testing, and a citadel to operate applications at scale securely. Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Cloud services, a cloud native programming model, and best practices. By following an example project from start to finish, developers, architects, and engineering managers working with the Google Cloud Platform will learn how to build and run cloud native applications on Google Cloud with confidence. With this book, you will: Understand cloud native development concepts including microservices, containerization, and event-driven architecture Learn Google Cloud services that specifically support this development style: compute, persistence, messaging, DevOps, security and networking, and observability Confidently build cloud native applications on Google Cloud Learn how to address nonfunctional requirements such as security, observability, and testing Successfully make the transition from initial proofs of concept and prototypes to production systems

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In the first edition of this critically acclaimed book, Andrew Hoffman defined the three pillars of application security: reconnaissance, offense, and defense. In this revised and updated second edition, he examines dozens of related topics, from the latest types of attacks and mitigations to threat modeling, the secure software development lifecycle (SSDL/SDLC), and more. Hoffman, senior staff security engineer at Ripple, also provides information regarding exploits and mitigations for several additional web application technologies such as GraphQL, cloud-based deployments, content delivery networks (CDN) and server-side rendering (SSR). Following the curriculum from the first book, this second edition is split into three distinct pillars comprising three separate skill sets: Pillar 1: Recon-Learn techniques for mapping and documenting web applications remotely, including procedures for working with web applications Pillar 2: Offense-Explore methods for attacking web applications using a number of highly effective exploits that have been proven by the best hackers in the world. These skills are valuable when used alongside the skills from Pillar 3. Pillar 3: Defense-Build on skills acquired in the first two parts to construct effective and long-lived mitigations for each of the attacks described in Pillar 2.

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How do you deal with the problems you face when using Azure? This practical guide provides over 75 recipes to help you to work with common Azure issues in everyday scenarios. That includes key tasks like setting up permissions for a storage account, working with Cosmos DB APIs, managing Azure role-based access control, governing your Azure subscriptions using Azure Policy, and much more. Author Reza Salehi has assembled real-world recipes that enable you to grasp key Azure services and concepts quickly. Each recipe includes CLI scripts that you can execute in your own Azure account. Recipes also explain the approach and provide meaningful context. The solutions in this cookbook will take you beyond theory and help you understand Azure services in practice. You'll find recipes that let you: Store data in an Azure storage account or in a data lake Work with relational and nonrelational databases in Azure Manage role-based access control (RBAC) for Azure resources Safeguard secrets in Azure Key Vault Govern your Azure subscription using Azure Policy Use CLI code to construct your application or fix a particular problem

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To help you on the path to becoming a Snowflake pro, this concise yet comprehensive guide reviews fundamentals and best practices for Snowflake's SQL and Scripting languages. Developers and data professionals will learn how to generate, modify, and query data in the Snowflake relational database management system as well as how to apply analytic functions for reporting. Author Alan Beaulieu also shows you how to create scripts, stored functions, and stored procedures to return data sets using Snowflake Scripting. This book is ideal whether you're new to databases and need to run queries or reports against a Snowflake database, or transitioning from databases such as Oracle, SQL Server, or MySQL to cloud-based platforms. With this book, you will: Generate and modify Snowflake data using Insert, Update, Delete Query data in Snowflake using Select, including joining multiple tables, using subqueries, and grouping Apply analytic functions for performing subtotals, grand totals, row comparisons, and other reporting functionality Build scripts combining SQL statements with looping, if-then-else, and exception handling Learn how to build stored procedures and functions Use stored procedures to return data sets

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Data quality will either make you or break you in the financial services industry. Missing prices, wrong market values, trading violations, client performance restatements, and incorrect regulatory filings can all lead to harsh penalties, lost clients, and financial disaster. This practical guide provides data analysts, data scientists, and data practitioners in financial services firms with the framework to apply manufacturing principles to financial data management, understand data dimensions, and engineer precise data quality tolerances at the datum level and integrate them into your data processing pipelines. You'll get invaluable advice on how to: Evaluate data dimensions and how they apply to different data types and use cases Determine data quality tolerances for your data quality specification Choose the points along the data processing pipeline where data quality should be assessed and measured Apply tailored data governance frameworks within a business or technical function or across an organization Precisely align data with applications and data processing pipelines And more

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FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Through the course of this book, you will: Learn how to build web applications with FastAPI Understand the differences between FastAPI, Starlette, and pydantic Learn two features that set FastAPI apart: asynchronous functions and data type checking and validation Examine new features of Python 3.8+, especially type annotations Understand the differences between sync and async Python Learn how to connect with external APIs and services

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Processing information efficiently is critical to the successful operation of modern organizations. One particularly helpful tool is Microsoft Power Automate, a low-code/no-code development platform designed to help tech-savvy users create and implement workflows. This practical book explains how small business and enterprise users can use Power Automate to replace manual work that takes days with an automated process you can complete in a few hours. Paul Papanek Stork, principal architect at Don't Pa..Panic Consulting, provides a concise yet comprehensive overview of the foundational skills required to understand and work with Power Automate. You'll learn how to use these workflows, or flows, to automate repetitive tasks or complete business processes without manual intervention. Whether you're transferring form responses to a list, managing document approvals, sending automatic reminders for overdue tasks, or archiving emails and attachments, these skills will help you: Design and build flows with templates or from scratch Select triggers and actions to automate a process Add actions to a flow to retrieve and process information Use functions to transform information Control the logic of a process using conditional actions, loops, or parallel branches Implement error checking to avoid potential problems

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Microsoft Teams is used in hundreds of thousands of organizations to help keep remote and hybrid workplaces with dispersed workforces running smoothly. But while Microsoft Teams can seem easy for the user, Teams administrators must stay on top of a wide range of topics, including device administration techniques, quality benchmarks, and security and compliance measures. With this handy cookbook, author Fabrizio Volpe provides a clear, concise overview of administrative tasks in Teams-along with step-by-step recipes to help you solve many of the common problems that system administrators, project managers, solution architects, and IT consultants may face when configuring, implementing, and managing Microsoft Teams. Think of this book as a detailed, immensely practical cheat sheet for Microsoft Teams administrators. Recipes in the book will show you how to: Apply Teams best practices, compliance, and security Automate administrative tasks Successfully deploy Teams Implement Teams collaboration Deploy and manage Microsoft Teams Rooms Leverage the monitoring, productivity, and accessibility features Foresee roadblocks in migrations to Teams and Teams Voice Optimize Teams on virtual machines

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Embedded Analytics is one of the hottest trends in business intelligence right now. It's being used in multiple ways to improve decision making, provide faster insights, gain competitive advantages and grow revenue. Over the last 10 years, data analytics and data visualization have become essential components of an enterprise information strategy. Nevertheless, despite this recognition, the adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations.

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If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi. These easy-to-use recipes will show you, step-by-step, how to: Set up your Raspberry Pi and connect to a network Work with its Linux-based operating system Program your Raspberry Pi with Python Give your Pi eyes with computer vision Recognize objects from video and sounds using machine learning Control hardware through the GPIO connector Use your Raspberry Pi to run different types of motors Work with switches, keypads, and other digital inputs Use sensors to measure temperature, light, and distance Connect to IoT devices in various ways and automate your home Use the Raspberry Pi Pico microcontroller board with your Raspberry Pi

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Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

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If you're a new or experienced designer of conversational voice-first experiences, this handy reference provides actionable answers to key aspects of eyes-busy, hands-busy, voice-only user interfaces. Designed as a companion to books about conversational voice design, this guide includes important details regarding eyes-free, hands-free, voice-only interfaces delivered by Amazon Echo, Google Nest, and a variety of in-car experiences. Authors Ahmed Bouzid and Weiye Ma provide far-field voice best practices and recommendations in a manner similar to The Elements of Style, the popular American English writing style guide. Like that book, The Elements of Voice First Style provides direct, succinct explanations that focus on the essence of each topic. You'll find answers quickly without having to spend time searching through other sources. With this guide, you'll be able to: Craft just the right language to enable your voicebot to effectively communicate with humans Create conversational voice interfaces that are robust enough to handle errors and failures Design highly usable conversational voice interfaces by paying attention to small details that can make or break the experience Build a design for a voice-only smart speaker that doesn't require customers to use their eyes or hands

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As more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. In the meantime, security threats are growing more sophisticated and widespread every day. Protecting your applications from these threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on cloud native threat detection basics and show you how to get Falco up and running. You'll then dive into advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environments Detect configuration changes and unexpected behavior in the cloud Protect containers, Kubernetes, and cloud applications using Falco Run, deploy, and customize Falco using advanced concepts Deploy, configure, and maintain Falco in a production environment Improve your organization's ability to pass compliance audits Implement threat detection for containers, Kubernetes, and cloud apps

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Software delivery doesn't stop with deployment. Modern teams rely on an emerging set of best practices post-deployment to continuously improve, release, and operate their software. With this practical guide, CTOs, software architects, and senior engineering leaders will learn how to apply these practices to their existing operations. Authors Edith Harbaugh, Cody De Arkland, and Brian Rinaldi provide actionable insights into setting up and maintaining a smooth operational process post-deployment. You'll learn new approaches to releasing software, controlling systems at runtime, and measuring the impact of change. This book helps you: Understand how modern development processes have moved beyond the DevOps infinity loop Understand the evolution of CI/CD, and the operational impacts of that change Use the tools and processes necessary to measure the impact of change on production systems Explore an emerging class of techniques to separate deployment from release Learn how to use canary launches and feature flags to release faster with less risk Use experimentation and impact analysis to drive data driven software improvements

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Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems with software tools currently in use. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, exploring patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. Understand containers and Kubernetes-no experience necessary Run your own applications on managed cloud Kubernetes services or on-prem environments Design your own cloud native services and infrastructure Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for observability and monitoring Secure your containers and clusters in production

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Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started. Learn how to build your first distributed applications with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLlib library for reinforcement learning Manage distributed training with the Ray Train library Use Ray to perform data processing with Ray Datasets Learn how work with Ray Clusters and serve models with Ray Serve Build end-to-end machine learning applications with Ray AIR

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Take advantage of your C# skills to build UI components and client-side experiences with .NET. With this practical guide, you'll learn how to use Blazor WebAssembly to develop next-generation web experiences. Built on top of ASP.NET Core, Blazor represents the future of .NET single-page applications (SPA) investments. Author David Pine, who focuses on .NET and Azure content development at Microsoft, explains how WebAssembly enables many non-JavaScript-based programming languages to run on the client browser. In this book, you'll learn about real-time web functionality with ASP.NET Core SignalR. You'll learn strategies for bidirectional JavaScript interop. David covers component data binding, hierarchical event-driven communications, in-memory state management, and local storage. This book shows you how to: Create a feature-rich Blazor app that looks beautiful Localize an enterprise-scale app as the sole developer using GitHub Actions and Azure Cognitive Services Translator service Create advanced validation scenarios for input-based components with forms Automatically deploy and host to Azure Static Web Apps, and rely on HTTP services Utilize geolocation service native to the browser, as well as native speech synthesis and recognition Author a custom modal verification mechanism for validating a user Determine the best approach for building reliable, architecturally sound websites

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Many UX designers are surprised to learn that much of the job isn't about drawing things. It's about knowing what to draw and how to convince people to build it. Whether you're a young designer trying to design something new or a designer who works with lots of different products and stakeholders, UX for Business is your missing guide to real-world UX. Intermediate designers and beginners alike will not only learn the business of design but also how to think about design as a professional. Author Joel Marsh helps you understand stakeholders, business models, the process of designing valuable solutions, and how to gain the attention your work deserves. You'll explore the practical aspects of many common types of online businesses, from ecommerce and social platforms to productivity tools. You'll learn: The most important aspects of common digital business models How to conduct UX research and analysis without the luxury of time or money Methods for getting things done under less-than-ideal circumstances A design approach that emphasizes value, diagnostics, and probability How to avoid common pitfalls caused by inexperience

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Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Program your own data quality monitors from scratch Develop and lead data quality initiatives at your company Generate a dashboard to highlight your company's key data assets Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets

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Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. Author Ben Weidig highlights different aspects of functional programming and shows you how to incorporate them in your code without going "fully functional." You'll learn how, when, and why to use FP concepts such as immutability and pure functions to write more concise, reasonable, and future-proof code. Many developers seek to expand their horizons by using OOP and FP together. It's no longer either-or; it's both. In two parts, this book includes: A Functional Approach: Get a high-level overview of functional programming, including the types already available to Java developers. Then explore different FP concepts and learn how to use them. Real-World Problems, Patterns, and Recipes: Apply what you've learned in part one to the typical real-world problems you might encounter in your daily work.

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Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better. Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book shows you when and why to use each technology. You will: Explore machine learning, including distributed computing concepts and terminology Manage the ML lifecycle with MLflow Ingest data and perform basic preprocessing with Spark Explore feature engineering, and use Spark to extract features Train a model with MLlib and build a pipeline to reproduce it Build a data system to combine the power of Spark with deep learning Get a step-by-step example of working with distributed TensorFlow Use PyTorch to scale machine learning and its internal architecture

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Traditionally, JavaScript has been a single-threaded language. Nearly all online forum posts, books, online documentation, and libraries refer to the language as single threaded. Thanks to recent advancements in the language--such as the Atomics and SharedArrayBuffers objects and Web Workers in the browser--JavaScript is now a multi-threaded language. These features will go down as being the biggest paradigm shift for the world's most popular programming language. Multithreaded JavaScript explores the various features that JavaScript runtimes have at their disposal for implementing multithreaded programming, providing both practical real-world examples, as well as reference material. Learn what multithreaded programming is and how you can benefit from it Understand the differences between a web worker, a service worker, and a worker thread Know when and when not to use threads in an application Orchestrate communication between threads by leveraging the Atomics object Build high-performance applications using the knowledge you gain from this book Benchmark performance to learn if you'll benefit from multithreading

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Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work Effective "productionization," and how it can be made easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to get around them How ML, product, and production teams can communicate effectively

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With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems. Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses these inherent compromises, as well as where clouds have similarities and where they're fundamentally different. Learn how the cloud provides security superior to what was achievable in an on-premises world Understand the principles and mental models that enable you to make optimal trade-offs as part of your solution Learn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problems Deal with security challenges and solutions both horizontally and vertically within your business

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How do you use PowerShell to navigate the filesystem, manage files and folders, or retrieve a web page? This introduction to the PowerShell language and scripting environment provides more than 400 task-oriented recipes to help you solve all kinds of problems. Intermediate to advanced system administrators will find more than 100 tried-and-tested scripts they can copy and use immediately. Updated for PowerShell 5, Open Source PowerShell up to 7 and beyond, this comprehensive cookbook includes hands-on recipes for common tasks and administrative jobs that you can apply whether you're on the client or server version of Windows. You also get quick references to technologies used in conjunction with PowerShell, including format specifiers and frequently referenced registry keys to selected .NET, COM, and WMI classes. Learn how to use PowerShell on Windows 10 and Windows Server 2019 Tour PowerShell's core features, including the command model, object-based pipeline, and ubiquitous scripting Master fundamentals such as the interactive shell, pipeline, and object concepts Perform common tasks that involve working with files, Internet-connected scripts, user interaction, and more Solve tasks in systems and enterprise management, such as working with Active Directory and the filesystem

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Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance. Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other. Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts Use both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocation Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy

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Many companies claim to have "gone to the cloud," yet returns from their efforts are meager or worse. Why? Because they've defined cloud as a destination, not a capability. Using cloud as a single-vendor, one-stop destination is fiction; in practice, today's organizations use a mosaic of capabilities across several vendors. Your cloud strategy needs to follow a hybrid multicloud model, one that delivers cloud's value at destinations you choose. This practical guide provides business leaders and C-level executives with guidance and insights across a wide range of cloud-related topics, such as distributed cloud, microservices, and other open source solutions for strengthening operations. You'll apply in-the-field best practices and lessons learned as you define your hybrid cloud strategy and drive your company's transformation strategy. Learn cloud fundamentals and patterns, including basic concepts and history Get a framework for cloud acumen phases to value-plot your cloud future Know which questions to ask a cloud provider before you sign Discover potential pitfalls for everything from the true cost of a cloud solution to adopting open source the right way

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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 Goerner, 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 tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

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The lint program checker has proven time and again to be one of the best tools for finding portability problems and certain types of coding errors in C programs. This book introduces you to lint, guides you through running it on your programs, and helps you to interpret lint's output. lint verifies a program or program segments against standard libraries, checks the code for common portability errors, and tests the programming against som tried and true guidelines. linting your code is a necessary (though not sufficient) step in writing clean, portable, effective programs.

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With this convenient, single-source reference, you'll learn how to develop instrumentation software with Python that lets you monitor or control devices in the physical world. Whether you need to acquire data from a hardware device or automate its functions, this book shows you how to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips and hints for interfacing a PC to the real world, along with advice to help you avoid common pitfalls. Use the book's hardware survey to discover the interface type for your particular device, and then follow detailed examples to develop the interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. * Understand how to define the scope of an application and determine the algorithms necessary -- and why it's important * Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB * Create low-level extension modules in C to interface Python with a variety of hardware and test instruments * Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces * Use open source software tools and libraries to reduce cost and avoid implementing functionality from scratch

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No doubt, you've heard many claims about how some tool, technology, or practice improves software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Do different programming languages really make people more productive? Is copy-and-paste programming a bad practice? And why do some people find it so hard to learn how to program? By understanding what facts are real and which claims are pure hype, you'll be better equipped to determine the tools, technologies, and best practices that will best address your needs. Contributions include: * Elaine Weyuker and Tom Ostrand: "Where do bugs really come from?" * Steve McConnell: "What do we know about productivity differences among programmers?" * Laurie Williams: "Is pair programming really more efficient?" Making Software is a fascinating book that will open your eyes and help you become a better programmer.

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Linux deployment continues to increase, and so does the demand for qualified and certified Linux system administrators. If you're seeking a job-based certification from the Linux Professional Institute (LPI), this updated guide will help you prepare for the technically challenging LPIC Level 1 Exams 101 and 102. The third edition of this book is a meticulously researched reference to these exams, written by trainers who work closely with LPI. You'll find an overview of each exam, a summary of the core skills you need, review questions and exercises, as well as a study guide, a practice test, and hints to help you focus. Major topics include: * Critical GNU and Unix commands * Linux installation and package management * Devices and filesystems * Text editing, processing, and printing * The X Window System * Networking and security * Mail transfer agents * Email, FTP, and web services These exams are for junior to mid-level Linux administrators with about two years of practical system administration experience. You should be comfortable with Linux at the command line and capable of performing simple tasks, including system installation and troubleshooting.

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