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Capacity

Capacity is the maximum amount of resources, workload, or contents that a system, structure, or process can accommodate or handle under specified constraints.

How 5 Manning books explain it

100 Go Mistakes and How to Avoid Them

Slice capacity is the number of elements in the underlying array available to a Go slice from its starting position.

How it is used
Uses capacity to explain indexing limits, append behavior, allocation costs, and memory retained by shortened slices.
How deep it goes
Defines capacity against length, traces shared backing arrays and growth, and works through preallocation and retention fixes without runtime implementation details.
Examples
Shows a length-three, capacity-six slice, a preallocated conversion function, and a shortened slice retaining pointer-bearing elements.
What you can do after
Diagnose/debug with it to distinguish invalid indexing, shared-array append effects, repeated allocations, and memory retained after slicing.

Read how 100 Go Mistakes and How to Avoid Them explains capacity →

Grokking Data Structures

Array capacity is the maximum number of elements allocated for an array.

How it is used
Uses capacity to determine whether an array can accept an element and when a dynamic array should resize.
How deep it goes
Defines capacity against current size, then explains full-array insertion and doubling or halving policies.
Examples
Uses a full static array, dynamic order tracking during a holiday peak, and stack growth to illustrate capacity.
What you can do after
Evaluate how allocated capacity limits static arrays and affects dynamic-array growth, shrinking, and memory use.

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Go in Action, Second Edition

Slice capacity is the maximum number of elements a Go slice can contain by extending from its first element within its underlying storage.

How it is used
Uses capacity to reason about slice growth, preallocation, and how far a derived slice can extend into existing storage.
How deep it goes
Explains slice-header fields and walks through append allocation and copying, without establishing a general formula for capacity growth.
Examples
Compares length and capacity before and after an integer-slice append, and contrasts two-index with three-index slicing.
What you can do after
Operate/configure it with make and three-index slicing to reserve growth space or limit a derived slice’s capacity.

Read how Go in Action, Second Edition explains capacity →

Classic Computer Science Problems in Swift: Essential techniques for practicing programmers

Knapsack capacity is the maximum total weight that the selected items may occupy.

How it is used
Constrains which item combinations are feasible in the 0/1 knapsack optimization problem.
How deep it goes
Defines capacity and develops it as a linear dynamic-programming dimension, stopping short of formal proof.
Examples
Uses a three-item table and a robber’s 75-pound selection of household items to demonstrate capacity choices.
What you can do after
Apply capacity as the limit in a Swift knapsack function and recover the selected items.

Read how Classic Computer Science Problems in Swift: Essential techniques for practicing programmers explains capacity →

Refactoring to Rust

Buffer capacity is the number of elements a string buffer can hold before it requires additional allocation.

How it is used
Controls when a mutable Rust String needs reallocation as characters are appended.
How deep it goes
Defines capacity and explains when appending triggers reallocation, but leaves the buffer growth strategy unspecified.
Examples
Demonstrates preallocating a Rust String for ten million appended dots.
What you can do after
Apply it via String::with_capacity to reserve space before appending a known amount of string data.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.