How deeply does The Art of Code cover precision?

Defines precision through a type-choice example but does not explain floating-point representation or numerical error mechanics.

Precision

As explained in The Art of Code

Numerical precision is the degree of exactness with which a numeric value is represented or calculated.

Numerical precision is the degree of exactness preserved when values are represented or calculated. Choosing the right numeric type matters because a seemingly small mismatch can create later problems in correctness, performance, or memory use. section 2.4

Representing monetary values

Represent a price with BigDecimal rather than float when manipulating monetary values requires precision. The practical rule is simple: choose a numeric type whose behavior matches the exactness the domain demands. section 2.4

How The Art of Code covers it

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Also explained in

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Learn Go with Pocket-Sized ProjectsNumeric precision is the degree of detail or significant accuracy with which a numerical value is represented or computed.
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Modern CPrecision is the C-standard property that constrains the number of distinguishable or representable digits and thereby the valid range of a type.
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Modern C, Third EditionPrecision is the number of significant binary digits available to represent a floating-point value in the C standard's restricted sense.
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Deep Learning with PyTorch, Second Edition
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Clojure: The Essential ReferenceNumeric precision is the amount of numerical detail a representation or calculation can retain.
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Deep Learning with R, Third EditionFloating-point precision is the degree of numerical detail representable by a floating-point data format.
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Python How-ToNumeric precision formatting controls the number of digits displayed for a numeric value.
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Domain-Specific Small Language ModelsA numeric representation setting that determines how many bits are used to store or compute model values during serving.

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Related concepts

recallcontrasts with · Recall is the fraction of relevant, positive, or target outcomes that a system successfully identifies, retrieves, or captures.
quantizationused by · Quantization maps numerical values to a finite set of discrete representations, often using reduced precision to lower model storage or computation requirements.
bit shiftingconfigures · Bit shifting is a bitwise operation that moves the positions of an integer’s binary digits left or right by a specified count.
format stringpart of · A format string is a character sequence containing literal text and directives that specify how supplied values are represented in formatted input or output.

This explainer was generated by Manning's knowledge graph from the text of The Art of Code. The section links point to the parts of the book it draws on.