#pythonnumpyimages
Live, measured metrics for the hashtag #pythonnumpyimages from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-09 11:28 UTC0 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 2026-11-09 11:28 UTCNo related tags with measured usage found for #pythonnumpyimages.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-09 11:28 UTCEverything below is measured over the latest 17 public posts (spanning ~16 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (17)
Avg boosts / post: 0.2
Used together with
Top of the latest posts
17. Now is time to introduce more hues than just grey. Colour is defined as the amount of red, green and blue (from 0 to 1). def mix(t, f, m): # m can be boolean mask or gradient return t*m + f*(1-m) red = [1,0,0] green = [0,1,0] rgv_grad =
16. When you used ‘>’ and ‘<‘ earlier, you made 'boolean' images with only values ‘true’ and ‘false’. Another operator to use with those images is '~', which swaps ‘true’ and ‘false’. Grey images can be combined using boolean images as mask
15. So far everything has been black (false, or 1) and white (true, or 1). Values between 1 and 0 will produce shades of grey. The values of array 'x' are between -0.5 and +0.5, but if you add 0.5 it will shift to the range 0 to 1: f = x +
#pythonnumpyimages across platforms
every network with a public tag surfaceFollow #pythonnumpyimages 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/pythonnumpyimages