pandas 3 has been released and marks the most significant evolution of pandas in over ten years. You can read about the main features in this blog post: https://datapythonista.me/blog/whats-new-in-pandas-3
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Channel
@pandas_dev
On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry
671subscribers
-11 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001617424216 |
|---|---|
| Type | Channel |
| Username | @pandas_dev |
| Created | Between 1 December 2021 and 19 September 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/pandas_dev |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 03:53 | 671 | -4 |
| 16 Aug 2026, 21:53 | 675 | -7 |
| 8 Aug 2026, 02:31 | 682 | no change |
| 7 Aug 2026, 22:53 | 682 | first reading |
20 posts held, back to 19 September 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 27 January 2026. An engagement rate over an empty window would be a number about nothing.
171 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 38.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 66 | 38.6% | |
| 👍 | 43 | 25.1% | |
| 🔥 | 37 | 21.6% | |
| 👏 | 23 | 13.5% | |
| 👌 | 1 | 0.585% | |
| 🤩 | 1 | 0.585% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 18 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 19 September 2022 to 27 January 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
pandas 3 has been released and marks the most significant evolution of pandas in over ten years. You can read about the main features in this blog post: https://datapythonista.me/blog/whats-new-in-pandas-3
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pandas 2.3 has been released, most likely the last pandas version before pandas 3.0. It can be installed as usual from pip and conda-forge. The release notes with the changes are available at: https://pandas.pydata.org/docs/whatsnew/v2.3.0.html
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Several pandas maintainers will join the Python Dataframe Summit 2023 to discuss the future of dataframes: https://df-summit-23.pydata.org/ Major sponsors of the participating projects like #pandas are invited to join the discussions.
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We are excited to share that #pandas 2.0.2 has just been released. Users in the 2.0.x series are recommended to upgrade to this version. Full list of changes and contributors: https://pandas.pydata.org/docs/whatsnew/v2.0.2.html
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pandas 2.0.1 has just been released. The new version contain bug fixes to the recent 2.0.0 release, making 2.0 more stable. New features are being added to the 2.1 version which will be released in few months. You can install the new release as usual via pip and mamba/conda.
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We're happy to announce the release of #pandas 2.0.0. You can install it with pip install pandas or mamba install -c conda-forge pandas. You can find what's new in this version in the release notes. Thanks to all contributors and sponsors who made this release possible! https://pandas.pydata.org/pandas-docs/version/2.0.0/whatsnew/v2.0.0.html
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Today is release day, and I'm tweeting live all the pandas 2.0 release progress: https://mobile.twitter.com/datapythonista/status/1642779019476123649
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#pandas 2.0 will be released soon. I wrote about one of the most important changes we're shipping with it. https://datapythonista.me/blog/pandas-20-and-the-arrow-revolution-part-i
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We are happy to announce the release candidate of pandas 2.0.0. It can be installed from our conda-forge and PyPI packages via mamba, conda and pip, for example: mamba install -c conda-forge/label/pandas_rc pandas==2.0.0rc0 python -m pip install --upgrade --pre pandas==2.0.0rc0 Users having pandas code in production and maintainers of libraries with pandas as a dependency are strongly recommended to run their test…
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We are pleased to announce the release of pandas v1.5.3. This is a patch release in the 1.5.x series and includes some regression fixes and bug fixes. We recommend that all users in the 1.5.x series upgrade to this version. See the release notes for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas==1.5.3 Or from conda-forge mamba install -c conda-f…
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We are pleased to announce the release of pandas v1.5.2. This is a patch release in the 1.5.x series and includes some regression fixes and bug fixes. We recommend that all users in the 1.5.x series upgrade to this version. See the release notes for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas==1.5.2 Or from conda-forge mamba install -c conda-f…
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Next new contributors meeting is tomorrow, you're welcome to join if you want to contribute to pandas and would appreciate some guidance and engage with new and existing contributors. https://pandas.pydata.org/docs/development/meeting.html#calendar
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Showing the 12 most recent of 20 posts we hold for @pandas_dev. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Would you be interested in pandas having a Mastodon account and also publishing updates there?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 19 September 2022 to 27 January 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 August 2026 — this entry's latest reading, not the date you are reading this.
“pandas” (@pandas_dev), 671 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/pandas_dev.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.