Python learning

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Learn python🔥

📈 Analytical overview of Telegram channel Python learning

Channel Python learning (@python3learning) in the English language segment is an active participant. Currently, the community unites 22 860 subscribers, ranking 8 540 in the Education category and 18 167 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 22 860 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -263 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.21%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn python🔥”

Thanks to the high frequency of updates (latest data received on 28 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

22 860

Subscribers

-1124 hours

-787 days

-26330 days

1 419

Post views

No data24 hours

No data48 hours

6.21%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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\n\n \n\n\n","datePublished":"2023-02-06T10:11:07Z","dateModified":"2023-02-06T10:11:07Z","author":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"publisher":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"commentCount":0,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":6492},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":34}]}},{"@type":"ListItem","position":19,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/en/channels/1173992402-python3learning/posts/391","url":"https://telemetr.io/en/channels/1173992402-python3learning/posts/391","mainEntityOfPage":"https://telemetr.io/en/channels/1173992402-python3learning/posts/391","headline":"Python learning","datePublished":"2023-02-06T05:28:37Z","dateModified":"2023-02-06T05:28:37Z","author":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"publisher":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"commentCount":0,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":6128},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":18}]}},{"@type":"ListItem","position":20,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/en/channels/1173992402-python3learning/posts/390","url":"https://telemetr.io/en/channels/1173992402-python3learning/posts/390","mainEntityOfPage":"https://telemetr.io/en/channels/1173992402-python3learning/posts/390","headline":"Python learning","datePublished":"2023-02-05T10:21:56Z","dateModified":"2023-02-05T10:21:56Z","author":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"publisher":{"@type":"Organization","name":"Python learning","url":"https://telemetr.io/en/channels/1173992402-python3learning","image":"https://img.tlmtr.io/c/1hrX3k/6105151894096383900?ty=x"},"commentCount":0,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":6680},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":4}]}}]}

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Run this Code and send output screenshot

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Python learning: import turtle a=turtle.Turtle() a.getscreen().bgcolor("black") a.penup() a.goto(-200, 100) a.pendown() a.color("yellow") a.speed(25) def star(turtle, size): if size<=10: return else: turtle.begin_fill() for i in range (5): turtle.pensize(2) turtle.forward(size) star(turtle, size/3) turtle.left(216) turtle.end_fill() star(a, 360) turtle.done()

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PythonHub: import turtle a=turtle.Turtle() a.getscreen().bgcolor("black") a.penup() a.goto(-200, 100) a.pendown() a.color("yellow") a.speed(25) def star(turtle, size): if size<=10: return else: turtle.begin_fill() for i in range (5): turtle.pensize(2) turtle.forward(size) star(turtle, size/3) turtle.left(216) turtle.end_fill() star(a, 360) turtle.done()

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Draw Rose Python.txt0.01 KB

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Output of this code >>> X= 2.2.2 >>> print (x*2)

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In Python Programming, String and Tuple are :

Anonymous voting