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Description

This PR adds comprehensive documentation for the all() method under NumPy ndarray. The entry includes:

  • Detailed description of the method and its use cases
  • Complete syntax section with all parameters explained
  • Four detailed examples demonstrating different use cases (basic validation, axis-wise operations, keepdims usage, and where parameter)
  • Interactive codebyte example for practical validation scenarios

Issue Solved

Closes #7869

Type of Change

  • Adding a new entry

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.
  • I have linked any issues that are relevant to this PR in the Issues Solved section.

@ylevental ylevental changed the title Add numpy ndarray all() method documentation (#7869) Add numpy.ndarray.all() method documentation (#7869) Oct 27, 2025
@mamtawardhani mamtawardhani self-assigned this Oct 28, 2025
Refine explanation of the .all() method in ndarray documentation. Update syntax, parameters, return value, and examples for clarity and accuracy.
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Looks good for a second review! 🚀

@Sriparno08 Sriparno08 self-assigned this Oct 29, 2025
@Sriparno08 Sriparno08 added status: under review Issue or PR is currently being reviewed and removed status: ready for next review labels Oct 29, 2025
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Looks good, @ylevental!

@Sriparno08 Sriparno08 merged commit 380f9c9 into Codecademy:main Oct 30, 2025
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@Sriparno08 Sriparno08 added hacktoberfest status: review 2️⃣ completed hacktoberfest-accepted Indicates the PR was approved, merged, and pertains to Hacktoberfest and removed status: under review Issue or PR is currently being reviewed labels Oct 30, 2025
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hacktoberfest hacktoberfest-accepted Indicates the PR was approved, merged, and pertains to Hacktoberfest new entry New entry or entries numpy NumPy entries python Python entries status: review 1️⃣ completed status: review 2️⃣ completed

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[Term Entry] Python NumPy - ndarray: all()

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