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Description
Added a new term entry for NumPy's ndarray.view() that explains how to create shallow views that share the original array's data buffer. The entry includes:
A concise definition describing that .view() returns a new array object sharing the same underlying memory.
A ## Syntax section with the method signature and parameter explanations (dtype, type).
An ## Example demonstrating that views share memory with the original array.
A ## Codebyte section with runnable codebyte/python showing:
shared-data view example,
dtype reinterpretation (byte-wise view),
using the type argument to create an ndarray subclass,
how to use .copy() for an independent copy.
Motivation/context: Provide a clear, learner-friendly term entry that covers the common uses and caveats of .view() (shared memory vs copy, dtype reinterpreting, and the type parameter).
Branch: numpy (current working branch).
Issue Solved
#7820
Type of Change
Adding a new entry
Editing an existing entry (fixing a typo, bug, issues, etc)
Updating the documentation
Checklist
All writings are my own.
My entry follows the Codecademy Docs style guide.
My changes generate no new warnings.
I have performed a self-review of my own writing and code.
I have checked my entry and corrected any misspellings.
I have made corresponding changes to the documentation if needed.
I have confirmed my changes are not being pushed from my forked main branch.
I have confirmed that I'm pushing from a new branch named after the changes I'm making (numpy).
I have linked any issues that are relevant to this PR in the Issues Solved section.