The Art of R Programming,
A Tour of Statistical Software Design
by Norman Matloff
Should I read this?
appears in Programming, Programming, and Technology.
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming, takes you on a guided ...
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Why recommended
appears in Programming, Programming, and Technology.
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Not sure if this is the right fit?
Consider Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin.
“Practical, code-first manual aimed at hands-on developers; it mixes object-oriented design, UML, design patterns, and Agile/XP practices with long C and Java examples. The most useful parts are concrete problem-solving walk-throughs: refactorings, design choices, and pattern implementations you can copy into real projects. Limitations: heavy on language-specific listings and prescriptive editorializing — the tone can feel didactic, and some examples read dated compared with modern language features. Not a gentle introduction; it's best used slowly and with a code editor open.”
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