Channel
@python_pioneers
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
9,010subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002033135074 |
|---|---|
| Type | Channel |
| Username | @python_pioneers |
| Description | Welcome to Python Pioneers: Empowering Ethiopian students to embark on their coding journey. 📢 Channel: @python_pioneers 👥 Group: @python_pioneers_com |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/python_pioneers |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 01:47 | 9,010 | +5 |
| 7 Aug 2026, 17:30 | 9,005 | +2 |
| 7 Aug 2026, 12:47 | 9,003 | no change |
| 7 Aug 2026, 12:36 | 9,003 | first reading |
20 posts held, back to 13 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pagesof 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 10 June 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.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
49 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 44.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 44.9% | |
| 👍 | 10 | 20.4% | |
| ✍ | 5 | 10.2% | |
| 😭 | 4 | 8.16% | |
| ⚡ | 3 | 6.12% | |
| 🔥 | 3 | 6.12% | |
| 👏 | 2 | 4.08% |
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 49reactions 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 13 November 2025 to 10 June 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.
In Python's object-oriented programming, what are the official terms used to describe an object's data and its actions?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
...continued To access attributes or call methods on an object we use a dot-notation., the variable followed by dot and the attribute or the method name. Syntax: the dot-notation # Accessing an attribute object.attribute # Calling a method object.method() Example: simplified computer object class Computer: # __init__ is a special method (a constructor) def __init__(self, brand, model): # attribute…
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...continued To do OOP in python we use classes. Classes define the shape (attributes and methods) of an object. Think of classes like a blueprint for creating objects. Next we use classes to create objects. It's a simple two step process:- • Modeling:- defining a class (shape). • Instantiating:- creating objects (instances) using class. Syntax: to create a class we use the class keyword. # Step 1 - Modeli…
OOP in Python Object Oriented Programming (OOP) just means we organize code using objects that have Data and Actions. Data is something we know about the object, and Actions are things we can do to the object or with the object. For example, when looking at a computer, we may find ourselves asking the brand, model and specs of a computer, these are some of the data(information) we can have about a computer. Also we…
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We now have a new community group to discuss on different topics You can also dm additional topics to be created https://t.me/python_pioneers_com
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Explanation # given data words = ["to code", "python", "linux"] # func - prefixes any given string with 'I love ' func = lambda word: "I love " + word # transforms every item using - func results = [func(w) for w in words] # results # ["I love to code", "I love python", "I love linux"] # results[1] - is the second item # Remember indexes start from 0 not 1 print(results[1]) # Correct Answer: "I love python" (opt…
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Posted without readable text
Lambda functions Another cool expressions or patterns in python are lambda functions a.k.a anonymous functions. We use them to define functions inline (in one line). # Syntax lambda arguments: expresion The subtle thing we need to understand about anonymous funtions/lambda functions is that they don't have a name unless we explicitly assign them to a variable. The return value of lambda function is the evaluated expr…
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Posted without readable text
👍3
List comprehensions List comprehensions are expressions that allow us to transform lists in a single line. The syntax: [ <inner_expression> for <item> in <list> ] It may look intimidating at first glance but what will happen is python loops through the list and executes the <inner_expression> for each <item> in <list> to create a new list. # Example nums = [1, 2, 3, 4, 5] squared = [n ** 2 for n in nums] print(squ…
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In the tech world, things change fast. Adapting to these changes quickly is what helps us stand out as better programmers. Project changes are tracked using version numbers—and they aren't random. They convey crucial information about the current state of a project. The Python project uses a major.minor.micro versioning scheme for production releases (the versions we care about most!). Here is how it breaks down: 🔹…
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Good Morning Pioneers! 👋 I'm Kal, and I'll be taking over from here! Just wanted to let you know we'll be continuing our discussion on Python, focusing on language features and development tooling 🐍🛠. If you're new to Python, you should start with the topics covered in Python Basics 📚✨.
👍1
Showing the 12 most recent of 20 posts we hold for @python_pioneers. 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.
In Python's object-oriented programming, what are the official terms used to describe an object's data and its actions?
Shares as published, totalling 101%. 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 13 November 2025 to 10 June 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Python Pioneers: A Beginner's Guide 🇪🇹” (@python_pioneers), 9,010 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/python_pioneers.
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.