Philipp K. Janert – författare
305 kr
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352 kr
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Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You''ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.
Along the way, you''ll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you''ll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.
Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysis"Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla
"An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
323 kr
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How can you take advantage of feedback control for enterprise programming? With this book, author Philipp K. Janert demonstrates how the same principles that govern cruise control in your car also apply to data center management and other enterprise systems. Through case studies and hands-on simulations, you’ll learn methods to solve several control issues, including mechanisms to spin up more servers automatically when web traffic spikes.
Feedback is ideal for controlling large, complex systems, but its use in software engineering raises unique issues. This book provides basic theory and lots of practical advice for programmers with no previous background in feedback control.
Learn feedback concepts and controller designGet practical techniques for implementing and tuning controllersUse feedback “design patterns” for common control scenariosMaintain a cache’s “hit rate” by automatically adjusting its sizeRespond to web traffic by scaling server instances automaticallyExplore ways to use feedback principles with queueing systemsLearn how to control memory consumption in a game engineTake a deep dive into feedback control theory
401 kr
Läs direkt efter köp
How can you take advantage of feedback control for enterprise programming? With this book, author Philipp K. Janert demonstrates how the same principles that govern cruise control in your car also apply to data center management and other enterprise systems. Through case studies and hands-on simulations, you’ll learn methods to solve several control issues, including mechanisms to spin up more servers automatically when web traffic spikes.
Feedback is ideal for controlling large, complex systems, but its use in software engineering raises unique issues. This book provides basic theory and lots of practical advice for programmers with no previous background in feedback control.
Learn feedback concepts and controller designGet practical techniques for implementing and tuning controllersUse feedback “design patterns” for common control scenariosMaintain a cache’s “hit rate” by automatically adjusting its sizeRespond to web traffic by scaling server instances automaticallyExplore ways to use feedback principles with queueing systemsLearn how to control memory consumption in a game engineTake a deep dive into feedback control theory
329 kr
Läs direkt efter köp
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You''ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.
Along the way, you''ll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you''ll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.
Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysis"Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla
"An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
527 kr
Läs direkt efter köp
If you’re in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Written for technically savvy readers with a background in programming or data science, the book moves quickly, emphasizing unifying concepts and patterns. Anticipating common difficulties, author Philipp K. Janert teaches you how to apply D3 to your own problems.
Assuming only a general programming background, but no previous experience with contemporary web development, this book explains supporting technologies such as SVG, HTML5, CSS, and the DOM as needed, making it a convenient one-stop resource for a technical audience.
Understand D3 selections, the library’s fundamental organizing principleLearn how to create data-driven documents with data bindingCreate animated graphs and interactive user interfacesDraw figures with curves, shapes, and colorsUse the built-in facilities for heatmaps, tree graphs, and networksSimplify your work by writing your own reusable components
509 kr
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If you’re in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Written for technically savvy readers with a background in programming or data science, the book moves quickly, emphasizing unifying concepts and patterns. Anticipating common difficulties, author Philipp K. Janert teaches you how to apply D3 to your own problems.
Assuming only a general programming background, but no previous experience with contemporary web development, this book explains supporting technologies such as SVG, HTML5, CSS, and the DOM as needed, making it a convenient one-stop resource for a technical audience.
Understand D3 selections, the library’s fundamental organizing principleLearn how to create data-driven documents with data bindingCreate animated graphs and interactive user interfacesDraw figures with curves, shapes, and colorsUse the built-in facilities for heatmaps, tree graphs, and networksSimplify your work by writing your own reusable components
379 kr
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395 kr
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PART 1 GETTING STARTED
Prelude: understanding data with gnuplotTutorial: essential gnuplotThe heart of the matter: the plot commandPART 2 CREATING GRAPHS
Managing data sets and filesPractical matters: strings, loops, and historyA catalog of stylesDecorations: labels, arrows, and explanationsAll about axesPART 3 MASTERING TECHNICALITIES
Color, style, and appearanceTerminals and output formatsAutomation, scripting, and animationBeyond the defaults: workflow and stylesPART 4 UNDERSTANDING DATA
Basic techniques of graphical analysisTopics in graphical analysisCoda: understanding data with graphs