Böcker utgivna av APress

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. Yoüll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomesWho This Book Is ForSoftware professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Use this practical guide to analyze and troubleshoot SQL Server performance using wait statistics. You'll learn to identify precisely why your queries are running slowly. And you'll know how to measure the amount of time consumed by each bottleneck so you can focus attention on making the largest improvements first. This edition is updated to cover analysis of wait statistics current with SQL Server 2022. Whether you are new to wait statistics, or already familiar with them, this book provides a deeper understanding on how wait statistics are generated and what they mean for your SQL Server instance¿s performance. The book goes beyond the most common wait types into the more complex and performance-threatening wait types. Yoüll learn about per-query wait statistics and session-based wait statistics, and the types of problems they can help you solve. The different wait types are categorized by their area of impact, including CPU, IO, Latching, Locking, and many more.Clear examples are included to help you gain practical knowledge of why and how specific wait times increase or decrease, how they impact your SQL Server¿s performance, and what you can do to improve performance. After reading this book, you won¿t want to be without the valuable information that wait statistics provide regarding where you should be spending your limited tuning time to maximize performance and value to your business. What You'll LearnUnderstand how the SQL Server engine processes requestsIdentify resource bottlenecks in a running SQL Server instanceLocate wait statistics information inside DMVs and Query StoreAnalyze the root cause of sub-optimal performanceDiagnose I/O contention and locking contentionBenchmark SQL Server performanceImprove database performance by lowering overall wait time Who This Book Is ForDatabase administrators who want to identify and resolve performance bottlenecks, those who want to learn more about how the SQL Server engine accesses and uses resources inside SQL Server, and administrators concerned with achieving¿and knowing they have achieved¿optimal performance

Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they¿re broken. What You Will LearnUnderstand how the various components of a container-based system worksTackle complex technical issues using GoIntegrate tools that can be used as part of your daily operational needsBuild system-based productsWho This Book Is For Developers and Engineers familiar with Go who want to know how different parts of the system work and who want to write command line tools. It will also be beneficial to programmers who already have a system-level understanding and want to use Go to build tools for existing projects and applications.

Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments. You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker.AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps.You will:Build GraphQL and REST APIsModel data with Amplify DatastoresSet up a CI/CD pipeline with AmplifyRecord and make sense of user data analytics with KinesisBoost your application with AI/ML capability using Sagemaker

Go from the basics of using Ansible to becoming proficient at implementing configuration management in your projects. This book uses a unique approach to teaching Ansible and configuration management while including realistic examples in its day-to-day use from server-based infrastructure to Amazon cloud-based deployments.Practical Ansible is separated into seven chapters that allow you to build your knowledge with each chapter, developing further as we move through the examples provided. It begins with the basics of Ansible, providing you with details on how to install and configure your environment while working with different Ansible modules from the command line. Next, it introduces you to working with Ansible tasks and organizing configuration code into playbooks. The book then shows you how to extend playbooks further, using roles and templates within the configuration code. Then, it extends your knowledge further by covering custom Ansible modules using Python and Linux shell scripts, and demonstrating how you can start to keep your secret values encrypted and secure using Ansible Vault. You'll also extend Ansible roles with the use of Ansible Galaxy to reuse existing roles other users have created. The second half of the book moves configuration management to the Amazon cloud providing an introduction on what Amazon Web Services are, and how you can start to work with Ansible roles in AWS. The AWS examples use EC2 and CloudFormation services with Ansible template functions, Ansible Pull, and Ansible Git code deployment. The final part of the book includes a demonstration on how to use the numerous tools available to both Ansible and supporting libraries and modules to allow you to troubleshoot and test your configuration code before you deploy your changes to production systems. By the end of this book, you will have the skills for managing technology configuration management. You will be ready to work on real-world projects and be able to implement Ansible in your own technology projects. What You Will Learn Understand the basics of Ansible and how to install and configure the application on your systemMake changes to your system using Ansible directly in the command line using some of the more common Ansible modulesGroup your modules together as tasks in Ansible playbooks for more efficient deployment of configuration changesUse Ansible roles to help group and reuse configuration management changes and deploymentsSearch for community-created roles using Ansible Galaxy and how you can also host your own Ansible roles Deploy code to Amazon Web Services and how to utilize different AWS services in your deployment projectsUse external modules and libraries such as Molecule and Ansible Lint to help test your configurations before the configuration code is deployed Who This Book Is ForSystem administrators, DevOps engineers, software engineers, and developers wanting to extend their current knowledge of computer systems and incorporate Ansible as a configuration management tool within them.

Explore Automated Market Makers (AMMs), the underlying protocols used by decentralized exchanges (DEX) to allow users to perform trades of cryptocurrencies in a decentralized way with no middlemen. This book provides a thorough study and a clear-cut exposition of the principal AMMs (Uniswap v2 and v3, Balancer, and Curve).You'll receive a detailed description of how these AMMs work, unveiling the mathematics behind them and showing plenty of examples as well as novel proofs for several interesting facts. Each chapter describes an AMM's core idea and derives the mathematical formulas used in the code, giving careful explanations of the logical thinking involved and detailing the steps needed to reach those formulas. All these explanations are complemented with thoughtfully chosen examples which further help to enlighten the readers on how the formulae work. In addition, the relevant parts of the codes of the AMMs are shown after explaining each formula sothat the actual implementation of the formulae can be seen.In a traditional trading market a buy order has to be matched with a sell order to achieve a trade. However, for an AMM, users trade against the protocol itself, a smart contract, or a community pool of funds. In simple terms this is an open source computer program in which mathematical formulas define prices. Automated Market Makers examines this critical point revealing that no banks or intermediaries are necessary, giving crucial financial access to a much larger crowd, regardless of who they are with less barriers to access.What You'll LearnUnderstand the principals of decentralized finance (DeFi)Grasp mathematical formulae that underpin decentralized exchangesWork with Solidity programming languageReview current industry best practices Who This Book Is ForThose new to Blockchain and Cryptocurrency trading, who want to learn more about AMMsDevelopers who want to dive deeper into the core features of AMM platformsInvestors and venture capitalists who want to know more about new emerging technologies

SAS ODS graphics users will learn in this book how to visually understand and communicate the significance of data to deliver images for quick and easy insight, with precise numbers. Many charts or plots require the viewer to run the eye from a bar end or plot point to some point on an axis, and then to interpolate between tick marks to estimate the value. Some design choices can lead to wrong conclusions or mistaken impressions. Graphic software relies on defaults to deliver something if you make a minimal effort, but that something is not likely to be exactly what you want. Visual Data Insights Using SAS ODS Graphics provides examples using experience-based design principles. It presents examples of bar charts, pie charts, and trend lines or time series plots, the graph types commonly used in business, other organizations, and the media for visual insight into data. Newer graphs are also included: dot plots, needle plots, waterfall charts, butterflycharts, heat maps, bubble plots, step plots, high-low plots, and donut charts. In addition, there are basic tools of statistics: scatter plots, box plots, histograms, fit and confidence plots, and distributions. Author LeRoy Bessler introduces unique creations, including sparsely annotated time series, maximally informative bar charts, better box plots, histograms based on interesting atypical rationales, and much more.The examples use SAS sample data sets as input. Any SAS user can experiment with the code presented to see what else is possible, or adapt it to repurpose the design and apply it with a customized version of that code.What Yoüll LearnCreate graphs that are easily and quickly interpreted, and without ambiguitySupply precise data values that are correct on the graph and correctly associated with the graphic visual elementsTake advantage of widely applicable (but not necessarily available elsewhere) design examplesAvoid bad practices that are encouraged by poor examples elsewhereGet past sub-optimal designs and results that are built into software defaultsTake advantage of less familiar capabilities available in the softwareWho This Book Is ForSAS software users who want to understand their data and/or visually deliver their results

Create, edit, modify and convert multimedia files using FFmpeg, the most versatile open source audio and video processing tool available for Linux, Mac and Windows users. After reading this book, you will be able to work with video and audio files, images, text, animations, fonts, subtitles and metadata like a pro.It begins with a simple introduction to FFmpeg executables ¿ ffmpeg, ffprobe and ffplay, and explains how you can use them to process multimedia containers, streams, audio channels, maps and metadata. It then describes how you can easily edit, enhance and convert audio, video, image and text files. There are dedicated chapters for filters, audio, subtitles and metadata, as well as FFmpeg tips and tricks. Sample lists of FFmpeg filters, encoders, decoders, formats and codecs are also available as appendices.Quick Start Guide to FFmpeg is for anyone who needs to edit or process multimedia files including studio professionals, broadcast personnel, content creators, podcasters, librarians, archivists and webmasters. It will be indispensable for those wanting to process a variety of multimedia files from the command line and inside shell scripts or custom-built software.You Will Learn To:Convert from one format to another e.g. video-to-video, video-to-audio, video-to-image, image-to-video, video-to-animation, animation-to-video, text-to-audio, text-to-videoEdit video files by cutting them with and without re-encoding, appending, resizing, changing frame rate and aspect ratio, mixing in audioUse filters to rotate, flip, crop, overlay (side-by-side or inset), remove logos, blur, smooth and sharpen, apply transitions as well as speed up or down playbackEdit audio files by changing, normalizing or compressing volume, mixing and splitting channels and detecting silence. Also, learn to generate waveforms as video or imagesAdd subtitles, place them anywhere on the screen, use custom fonts and colors, and use different languagesLearn how to import, export and remove metadata, add MP3 tags (including album art), set global and stream-specific metadata, export and remove metadataThis Book For:Content creators and bloggers from professional studio employees to Youtubers and hobbyists who need to process their own multimedia content; multimedia archivists and librarians; regular Linux desktop users

HTML5 opens up a plethora of new avenues for application and game development on the web. Games can now be created and interacted with directly within HTML, with no need for users to download extra plugins, or for developers to learn new languages. Important new features such as the Canvas tag enable drawing directly onto the web page. The Audio tag allows sounds to be triggered and played from within your HTML code, the WebSockets API facilitates real-time communication, and the local storage API enables data such as high scores or game preferences to be kept on a user's computer for retrieval next time they play. All of these features and many more are covered within The Essential Guide to HTML5.The book begins at an introductory level, teaching the essentials of HTML5 and JavaScript through game development. Each chapter features a familiar game type as its core example, such as hangman, rock-paper-scissors, or dice games, and uses these simple constructs to build a solid skillset of the key HTML5 concepts and features. By working through these hands on examples, you will gain a deep, practical knowledge of HTML5 that will enable you to build your own, more advanced games and applications. Concepts are introduced and motivated with easy-to-grasp, appealing examples Code is explained in detail after general explanations Reader is guided into how to make the examples 'their own'

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures.The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. Yoüll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. Yoüll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads.As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services.After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.What Will You Learn:Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBFUnderstand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on AzureUnderstand resiliency and how to design resilient solutions in Azure for different architecture types and servicesMaster core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHubUtilize Azure observability tools like Azure Monitor, Application Insights, KQL or GrafanaUnderstand Incident Response and Blameless Post-Mortems and how to improve collaboration using ChatOps practices with Microsoft toolsWho Is This Book For:IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.

As web accessibility through wireless devices becomes increasingly popular, developers are challenged to maintain the high level of interactivity and flexibility that users are accustomed to on their PCs.

Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, medical students, and researchers.What You Will Learn Apply artificial neural networks when modelling medical data Know the standard method for Markov decision making and medical data simulation Understand survival analysis methods for investigating data from a clinical trial Understand medical record categorization Measure personality differences using psychological models Who This Book Is ForMachine learning engineers and software engineers working on healthcare-related projects involving AI, including healthcare professionals interested in knowing how AI can improve their work setting

Take a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the concepts of context transition and table expansion, are considered advanced and challenging areas of DAX.While there are numerous resources on DAX, most are written with developers in mind, making learning DAX appear an overwhelming challenge, especially for those who are coming from an Excel background or with limited coding experience. The reality is, to hit the ground running with DAX, it's not necessary to wade through copious pages on rarified DAX functions and the technical aspects of the language. There are just a few mandatory concepts that must be fully understood before DAX can be mastered. Knowledge of everything else in DAX is built on top of these mandatory aspects. Author Alison Box has been teaching and working with DAX for over eight years, starting with DAX for PowerPivot, the Excel add-in, before moving into the Power BI platform. The guide you hold in your hands is an outcome of these years of experience explaining difficult concepts in a way that people can understand. Over the years she has refined her approach, distilling down the truth of DAX which is "e;you can take people through as many functions as you like, but it's to no avail if they don't truly understand how it all works."e; You will learn to use DAX to gain powerful insights into your data by generating complex and challenging business intelligence calculations including, but not limited to:Calculations to control the filtering of information to gain better insight into the data that matters to youCalculations across dates such as comparing data for the same period last year or the previous periodFinding rolling averages and rolling totalsComparing data against targets and KPIs or against average and maximum valuesUsing basket analysis, such as "e;of customers who bought product X who also bought product Y"e;Using "e;what if"e; analysis and scenariosFinding "e;like for like"e; salesDynamically showing TopN/BottomN percent of customers or products by salesFinding new and returning customers or sales regions in each month or each year Who This Book Is ForExcel users and non-technical users of varying levels of ability or anyone who wants to learn DAX for Power BI but lacks the confidence to do so

Deepen your understanding of human-computer interaction (HCI) in game development and learn how to develop video games that grab players and don't let them go. This book explores HCI design in computer games to maximize collaborative and interactive functions. You'll first gain a basic introduction to fundamental concepts and practices of HCI before diving into the fundamental concepts of game interface design and technology. You'll learn how to design a gaming interface through practical examples using Python. This is followed by a brief look at how HCI can offer immersive gaming experiences for players and a review of key elements such as interface, usability, user-centered design, and user interface in terms of efficacy. You will also learn how to implement usability aspects in gaming interfaces with examples using Python. Additionally, the book discusses major challenges that game publishers and developers face, and how they can be resolved using HCI techniques. The question of playability is reviewed throughout the game production process. After working through this book's practical examples, you'll have the knowledge required to begin developing compelling, can't-put-the-controller down games of your own. What You'll LearnMaster HCI tools and methodologies Understand the concept of HCI strategies in the game development cycleDevelop a game in Python using the HCI approachUtilize gamification techniques in Human-Computer InteractionGrasp concepts of usability, user experience and user-centered design processes and their application Who This Book Is ForProgrammers, engineers, and students interested in creating and implementing computer games using HCI technologies. Prior experience with game development is recommended.