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  • Introducing Markdown and Pandoc

    Using Markup Language and Document Converter

    Series series Professional and Applied Computing (R0)
    Discover how to write manuscripts in Markdown and translate them with Pandoc into different output formats. You’ll use Markdown to annotate text formatting information with a strong focus on semantic information: you can annotate your text with information about where chapters and sections start, but not how chapter and heading captions should be formatted. As a result, you’ll decouple the ... Leer más

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  • Functional Programming in R 4

    Advanced Statistical Programming for Data Science, Analysis, and Finance

    Series series Professional and Applied Computing (R0)
    Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.In Functional Programming in R 4, you’ll see how to replace loops, which can have side-effects, with ... Leer más

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  • The Joys of Hashing

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    Series series Professional and Applied Computing (R0)
    Build working implementations of hash tables, written in the C programming language. The new and revised Second Edition has been enhanced with simplified code and more comprehensive explanations, aimed at improving clarity and comprehension while exploiting the latest features in C programming.This book starts with simple first attempts devoid of collision resolution strategies. It then progresses ... Leer más

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  • R 4 Data Science Quick Reference

    A Pocket Guide to APIs, Libraries, and Packages

    Series series Professional and Applied Computing (R0)
    In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.With R 4 Data Science Quick Reference, you'll have the code, ... Leer más

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  • String Algorithms in C

    Efficient Text Representation and Search

    Series series Professional and Applied Computing (R0)
    Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This unique in-depth guide explains string algorithms using the C programming language. String Algorithms in C teaches you the following algorithms and how to use them: classical exact search algorithms; tries and compact tries; suffix trees and arrays; approximative ... Leer más

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  • Introduction to Computational Thinking

    Problem Solving, Algorithms, Data Structures, and More

    Series series Professional and Applied Computing (R0)
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  • Pointers in C Programming

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    Series series Professional and Applied Computing (R0)
    Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer basics and advanced features. It includes the latest versions of ... Leer más

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  • Functional Programming in R

    Advanced Statistical Programming for Data Science, Analysis and Finance

    Series series Professional and Applied Computing (R0)
    Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.In Functional Programming in R, you’ll see how we can replace loops, which can have side-effects, with recursive ... Leer más

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  • Beginning Data Science in R

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    Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.Beginning Data Science in R details how data science is a combination of statistics, computational science, and ... Leer más

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  • Beginning Data Science in R 4

    Data Analysis, Visualization, and Modelling for the Data Scientist

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    Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.Beginning Data Science in R 4, Second Edition details how data science is a ... Leer más

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  • The Joys of Hashing

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    Build working implementations of hash tables, written in the C programming language. This book starts with simple first attempts devoid of collision resolution strategies, and moves through improvements and extensions illustrating different design ideas and approaches, followed by experiments to validate the choices.Hash tables, when implemented and used appropriately, are exceptionally efficient ... Leer más

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  • R Data Science Quick Reference

    A Pocket Guide to APIs, Libraries, and Packages

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    In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them.In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ... Leer más

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