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[Term Entry] Python - NumPy built-in functions: .histogram() #6414

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Closed
2 of 3 tasks
codecademy-docs opened this issue Mar 28, 2025 · 5 comments · Fixed by #6556
Closed
2 of 3 tasks

[Term Entry] Python - NumPy built-in functions: .histogram() #6414

codecademy-docs opened this issue Mar 28, 2025 · 5 comments · Fixed by #6556
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claimed Issue is claimed and closed to further assignment good first issue Good for newcomers new entry New entry or entries python Python entries

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@codecademy-docs
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We would like a new term entry on the .histogram() under built-in functions in NumPy. The entry should go in a new file under docs/content/numpy/concepts/built-in-functions/terms/histogram/histogram.md.

The entry should include:

  • An introduction to the concept
  • A Syntax section that provides the syntax for the concept
  • An Example section that provides an example demonstrating the concept in use
  • A Codebyte Example section that provides an example demonstrating this term

Please refer to the term entry template, content standards, and markdown style guide when working on the PR for this issue.

Entry Type (select all that apply)

New Term for Existing Concept Entry

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@codecademy-docs codecademy-docs added good first issue Good for newcomers new entry New entry or entries python Python entries labels Mar 28, 2025
@aatidua
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aatidua commented Mar 29, 2025

Hi
I am interested working on this issue.
Thank you

@BlackArsenic88
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Hi There,
I am also available to work on this issue, and am comfortable working with Python, Numpy, and Pandas.
-Thanks

@codecademy-docs
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Hey @aatidua You’re assigned 🎉 In addition to the documents linked in the description, please also look at the Contribution Guide. After creating a PR, the maintainer(s) (with the collaborator label) will add comments/suggestions to address any revisions before approval.

Is this your first contribution to Codecademy Docs? If so, we’re curious to know how you found out about contributing to Docs.

@codecademy-docs
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@BlackArsenic88 Assigning it to @aatidua because he commented first. You can see the other available issues.
We also upload issues every Thursday, so keep a look at it. :)

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🌸 Thanks for closing this Issue!

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