Books written by Thomas Mailund

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  R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages

  Some of the packages go beyond this, but since data science is predominately manipulation of tabular data, ... This book is a syntax reference for modern data science in R, which means that it is a guide for using Tidyverse packages and ...

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  Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

  Literate programming never became a huge success for writing programs, but for doing data science, it is having a comeback. The results of a data analysis project is typically a report describing models and analysis results, ...

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  Pointers in C Programming: A Modern Approach to Memory Management, Recursive Data Structures, Strings, and Arrays

  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.

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  Pointers in C Programming: A Modern Approach to Memory Management, Recursive Data Structures, Strings, and Arrays

  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.

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  Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

  This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.

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  Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More

  To get to that point, however, you must learn to think about computations in a new way—you must learn computational thinking. This book begins by discussing models of the world and how to formalize problems.