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Deep copy

A deep copy is an independent duplicate of a data structure that recursively copies its nested objects rather than sharing mutable contents with the original.

How 5 Manning books explain it

100 C++ Mistakes and How to Avoid Them

Deep copy semantics create independent copies of dynamically owned or referenced resources rather than sharing the same resource.

How it is used
Preserves class invariants when copying objects that own dynamic resources or other resources that must not be shared.
How deep it goes
Explains shallow copying, independent allocation, cleanup before assignment, and the big 3/5, but stops short of general ownership design.
Examples
Uses Page and TextSection pointers, communication channels with queued messages, limited printers, and std::unique_ptr implementations.
What you can do after
Build it from scratch by implementing independent copies, safe assignment cleanup, destruction, and modern move operations.

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Grokking Simplicity

A deep copy recursively duplicates a data structure and all nested objects and arrays so that no structural parts are shared with the original.

How it is used
Protects immutable data when it crosses boundaries into or out of code that may mutate it.
How deep it goes
Defines recursive structural duplication and compares its cost with shallow copying, but defers a robust JavaScript implementation.
Examples
Uses a shopping cart, web API JSON exchanges, and Erlang or Elixir process messages as defensive-copying examples.
What you can do after
Apply it via Lodash’s _.cloneDeep() when robust JavaScript deep copying is required.

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Elixir in Action, Third Edition

A deep copy is a recursive copy of a value that duplicates the complete hierarchy of nested terms rather than sharing its mutable parts.

How it is used
Explains how BEAM processes exchange data while preserving shared-nothing isolation.
How deep it goes
Explains message and closure copying, performance trade-offs, reference exceptions, and ETS snapshots without detailing the copy algorithm.
Examples
Uses spawned closures, process messages, and ETS reads and writes as concrete copying boundaries.
What you can do after
Evaluate data-transfer costs and isolation behavior when designing concurrent BEAM processes or using ETS.

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Python How-To

A deep copy is a copied object whose interior objects are recursively copied so that mutable objects are not shared with the original.

How it is used
Supports independently editing copied task data without changing the original.
How deep it goes
Explains recursive copying through mutable task tags and contrasts it with shallow copying, while deferring customized behavior to a challenge.
Examples
Uses a Task object whose copied tags list gains "red" while the original tags remain unchanged.
What you can do after
Apply it via copy.deepcopy to create independently editable object graphs.

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The Quick Python Book, Fourth Edition

A deep copy is a recursively independent copy of a container and the modifiable objects nested within it.

How it is used
Protects original nested data when copied lists or dictionaries must be modified independently.
How deep it goes
Explains shallow references, demonstrates nested mutations, and stops short of implementation internals.
Examples
Demonstrates nested lists, slicing, copy.deepcopy, and mutations through shallow and deep copies.
What you can do after
Apply it via Python's copy module to isolate nested mutable objects before changing copied 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.