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r/Julia

@r_Julia

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

83subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001381321174
TypeChannel
Username@r_Julia
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live12 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/r_Julia

Growth

838483.56 August 2026 — 83 subscribers9 August 2026 — 83 subscribers15 August 2026 — 84 subscribers12 September 2026 — 83 subscribers6 August 202612 September 2026
4 measurements spanning 36 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 83–84 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 06:4183-1
15 Aug 2026, 01:5284+1
9 Aug 2026, 17:3283no change
6 Aug 2026, 18:5783first reading

Engagement

20 posts held, back to 1 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 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 1 reactions 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 1 July 2026 to 6 August 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.

Recent posts

6 Aug 2026, 16:18 UTC28 viewsread 9 August 2026

Writing finite element weak forms almost exactly as in textbooks (LowLevelFEM.jl) One thing that has always bothered me when implementing finite elements is how quickly the code diverges from the mathematical formulation. Over the last few months I've been experimenting with a Julia DSL where the weak form itself becomes executable code instead of something that first has to be translated into loops and element mat

6 Aug 2026, 05:18 UTC41 viewsread 9 August 2026

New data visualization package One sentence, four languages, one picture. R: data(gapminder_2007) + point + x(gdp) + y(life) Python: x(col.gdp) Julia: x(:gdp) Same specification, one Rust engine, byte-identical SVG. Not similar. Identical. psychometrician.github.io/posts/one-engi… https://redd.it/1vggglk @r_Julia

27 Jul 2026, 23:19 UTC54 viewsread 9 August 2026

Pluto.jl remote Hello, I'm rather new to Julia (read about it a lot, tried out small stuff, but never a "real" project). I started out in MATLAB, shifted some of my work to Python and now I've got the first real opportunity to do a project in Julia. From my work with Python, I've come to like Jupyter notebooks a lot. Usually, I have my notebooks on a rather beefy computer at work which I can connect to via VPN and

27 Jul 2026, 16:18 UTC48 viewsread 9 August 2026

Error when trying to define a new method for + and I'm learning about Dual numbers, and automatic differentiation, and I tried to create a + and method for them, but I get MethodError: no method matching +(::Int64, ::Int64) You may have intended to import Base.:+ The function `+` exists, but no method is defined for this combination of argument types. the code is struct Dual real::Real dual::Real end f

26 Jul 2026, 03:18 UTC39 viewsread 9 August 2026
File

I made a FD incompressible flow solver visualized in Makie.jl https://redd.it/1v6gdoc @r_Julia

25 Jul 2026, 15:18 UTC40 viewsread 9 August 2026

Probably stale pidfile help I am trying to get Julia working for one of my classes, and I get this error about stale pidfiles whenever I try to do literally anything. This is the output when I try to run Pkg.add("Plots"): https://preview.redd.it/w66z0wmbca5g1.png?width=795&format=png&auto=webp&s=c761b7eb6220f1b193cd1dd6e9d49274f593d031 I've tried everything that everyone online has said, I even asked ChatGPT but i

21 Jul 2026, 21:18 UTC46 viewsread 9 August 2026

OpenGL error when trying to run GLFW in older version It's CachyOS, Linux. I'm trying to run animations from https://github.com/JuliaDynamics/NonlinearDynamicsTextbook. I'm new to Julia, btw. I read some stuff online about the error, but if I use this: LD_LIBRARY_PATH=/usr/lib64 julia I get a CHOLMOD error. I'm using mise to manage Julia versions. https://redd.it/1v2kc4y @r_Julia

21 Jul 2026, 03:18 UTC37 viewsread 9 August 2026

Epsilon.jl -- a Julia-native Bayesian Marketing Mix Modeling (MMM) library (pre-release) Hi r/Julia I've been building Epsilon.jl, a Julia-native library for Bayesian Marketing Mix Modeling, and just opened it up publicly. Sharing here since it's built entirely in Julia and I'd love feedback from the community. Epsilon runs a config-driven MMM workflow: define your model in YAML, provide a dataset + holidays file,

21 Jul 2026, 01:18 UTC33 viewsread 9 August 2026

My Julia package has reached a new milestone: running within Unreal Engine! https://youtu.be/rjv0obBPFHA?is=dFggfoeNi8O5ai91 https://redd.it/1v1x4oc @r_Julia

19 Jul 2026, 16:18 UTC42 viewsread 9 August 2026

Julia at work Edit: My phrasing was unclear. I'm not specifically looking for people who can answer all my questions all at once, I have questions for the community and I assume there are people who will be able to individually answer part of the questions. I've looked for similar posts on here and the rules don't seem to forbid such posts, so I assume I can post this. I've recently got interested in Julia as a st

19 Jul 2026, 08:18 UTC37 viewsread 9 August 2026

Teaser Video 4: Molecular Dynamics of Polymers with Julia This is a short teaser for my upcoming video on the topic in the title, showing the linear polymer chain generation script, using polyacrylamide as an example. I wanted to embed the video directly here but I don't find the option, so here is the link https://youtu.be/VbRFpzY-js4 https://redd.it/1v0dqo9 @r_Julia

17 Jul 2026, 02:18 UTC56 viewsread 9 August 2026

Molecular Dynamics of Polymers with Julia: 3rd part /r/comp_chem/comments/1uy7t31/molecular_dynamics_of_polymers_with_julia_3rd_part/ https://redd.it/1uyjz76 @r_Julia

Showing the 12 most recent of 20 posts we hold for @r_Julia. 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.

Mentions

Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“r/Julia” (@r_Julia), 83 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/r_Julia.

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.