Channel
@pythonym
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001663985360 |
|---|---|
| Type | Channel |
| Username | @pythonym |
| Description | Tech-learning blog & useful hints & information🦜 Blog (in Uzb): @Blog_by_MK May join also: t.me/+a6hT6EsT6OFkNzFi Tg: @M_Kenjayev |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/pythonym |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 04:02 | 13 | no change |
| 10 Aug 2026, 14:46 | 13 | first reading |
20 posts held, back to 18 March 2024 — 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 9 April 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 100.0% |
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 2 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 3reactions 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 18 March 2024 to 9 April 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.
Q: What stuff will done using show_facets = admin.ShowFacets.ALWAYS in admin.py in Django? A: You can see how many objects are there based on FILTER section on django admin as in the image above.
Installing Nano on CMD - Windows: winget install -e --id okibcn.nano - - - Q: On VSCode's powershell terminal venv activates automatically. where to see which environment is activated? A: gci env:VIRTUAL_ENV Enter this command to see where your activated environment is.
The isinstance(instance, type) function is the preferred way to check a value against a type because it is aware of subtypes. It can also check against many possible types. For example: if isinstance(items, (list, tuple)): maxval = max(items) - - - For most times dunder methods work under the hood: a = [1, 2, 3, 4, 5, 6] len(a) # a.__len__() x = a[2] # x = a.__getitem__(2) a[1] = 7 # a.__setitem__(1,7) del a[…
#note #python_core Wildcard unpacking: s = [ (1, 2), (3, 4, 5), (6, 7, 8, 9) ] for x, y, *extra in s: statements # x = 1, y = 2, extra = [] # x = 3, y = 4, extra = [5] # x = 6, y = 7, extra = [8, 9] # ... Additionally, the examples below are legal too: for *first, x, y in s: ... for x, *middle, y in s: ... - - - In f-strings, we can use conversion flags…
#note #python_core Key values can be any immutable object, such as strings, numbers, and tuples. When using a tuple as the key, you can omit the parentheses and write comma-separated values like this: d = { } d[1,2,3] = "foo" d[1,0,3] = "bar" print(d) {(1, 2, 3): 'foo', (1, 0, 3): 'bar'} d[1,2,3] = "foo" is same as d[(1,2,3)] = "foo" - - - Walrus use-case: def toint(x): try: return int(x) except ValueError: return N…
#note #python_core Mutable Sequence Operations Operation || Description s[i] = x || Index assignment s[i:j] = r || Slice assignment s[i:j:stride] = r || Extended slice assignment del s[i] || Deletes an element del s[i:j] || Deletes a slice del s[i:j:stride] || Deletes an extended slice # Examples: a = [1, 2, 3, 4, 5] a[1] = 6 # a = [1, 6, 3, 4, 5] a[2:4] = [10, 11] # a = [1, 6, 10, 11, 5] a[3:4] = [-1, -2, -3] # a…
#note #python_core from fractions import Fraction >>> a = Fraction(2, 3) >>> b = 5 >>> a + b >>> Fraction(17, 3) # output Where, Fraction means "/". Explanation: 5/1 + 2/3 = 17/3 => Fraction(17, 3) - - - ## (x**y) % mod ≈ pow(x, y, mod) Ex.: x, y, mod = 2, 3, 5 #1. 2**3 % 5 = 8 # memory-inefficient #2. pow(2, 3, 5) # 8 is an output AND memory-econom The 2nd way can be handy for the situations when memory ef…
#note #python #reading #newknowledge x: int = 8 print(type(x)) # < class 'int' > Explicitly assigning the type to the variable. (!) This, however, does not mean that it is impossible to assign other types, such as string or list. Ex.: x: int = 'hey' print(type(x)) # < class 'str' > (c) Python - Distilled by David Beazley
#note #server_related #deployment Key differences between VPS and VDS server. (c) ChatGPT
Difference between switch and checkout in git: kodekloud.com
System Design: The complete course Mavzular Chapter I » IP OSI Model TCP and UDP Domain Name System (DNS) Load Balancing Clustering Caching Content Delivery Network (CDN) Proxy Availability Scalability Storage Chapter II Databases and DBMS SQL databases NoSQL databases SQL vs NoSQL databases Database Replication Indexes Normalization and De…
#Docker Installation guide for Kali Linux: 1. https://youtu.be/exyXqfOD7MQ?feature=shared 2. https://www.kali.org/docs/containers/installing-docker-on-kali/
Showing the 12 most recent of 20 posts we hold for @pythonym. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Python lover💡” (@pythonym), 13 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pythonym.
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.