#numpydoc

Live, measured metrics for the hashtag #numpydoc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:36 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 04:36 UTC

No related tags with measured usage found for #numpydoc.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:36 UTC

Everything below is measured over the latest 5 public posts (spanning ~9470 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5)

Avg boosts / post: 0

Top of the latest posts

  • Ok, I think this is strictly a numpydoc feature that involves the use of their built in xref's which sphinx.ext.napoleon does not have access to. #sphinx #numpydoc

    Ogi@[email protected]♥ 0↻ 02025-04-07 11:26 UTCView post →

  • Looking at the docstrings for numpy, they appear to use the same style of annotations: ``` range : (float, float) The lower and upper range of the bins. ``` Suppose I should take a closer look at their conf.py and see if there is magic ther

    Ogi@[email protected]♥ 0↻ 02025-04-07 08:13 UTCView post →

  • #sphinx #numpydoc folks, I have a question. When specifying a parameter ``` """ ... levels : (float, float) description. ... “”” ``` sphinx is givingm e warnings: WARNING: py:class reference target not found (float [ref.class] WARNING: py:c

    Ogi@[email protected]♥ 0↻ 02025-04-07 07:43 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/numpydoc