#pydoc
Live, measured metrics for the hashtag #pydoc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pydoc
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-15 10:54 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-15 10:54 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-15 10:54 UTCEverything below is measured over the latest 5 public posts (spanning ~21165 hours).
Posting hours (UTC)
Languages: English (4) · German (1)
Avg boosts / post: 0.6
Used together with
Top of the latest posts
Maybe not, pydoc-markdown (https://github.com/NiklasRosenstein/pydoc-markdown) looks like it just yanks out the right parts, and doesn't do any filtering or manipulating. Score! #python #markdown #pydoc-markdown
Discovered, or possibly rediscovered, that for documenting Python modules « python -m pydoc -w png » will produce HTML documentation of the png module. And pydoc is in the Python Standard Library. AFAICT the only styling is automatically pr
@serge @helge I don't quite understand that difference. #PyDoc uses either docstrings or the comments above a function/module/class/etc. as the comment I'd expect Sphinx to do the same: https://docs.python.org/3/library/pydoc.html (see para
What “pydoc” means
WikipediaPydoc is the standard documentation module for the programming language Python. Similar to the functionality of Perldoc within Perl and Javadoc within Java, Pydoc allows Python programmers to access Python's documentation help files, generate text and HTML pages with documentation specifics, and find the appropriate module for a particular job.
“Pydoc” on Wikipedia (CC BY-SA) →#pydoc across platforms
every network with a public tag surfaceFollow #pydoc straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/pydoc