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Python learning

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๐Ÿ“ˆ Analytical overview of Telegram channel Python learning

Channel Python learning (@python3learning) in the English language segment is an active participant. Currently, the community unites 23 637 subscribers, ranking 8 435 in the Education category and 18 736 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 23 637 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -259 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 7.93%. Within the first 24 hours after publication, content typically collects 1.87% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 875 views. Within the first day, a publication typically gains 443 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œLearn python๐Ÿ”ฅโ€

Thanks to the high frequency of updates (latest data received on 06 June, 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.

23 637
Subscribers
-1124 hours
-797 days
-25930 days
Posts Archive
What will be the value of the following Python expression? >>> 4 +3 % 5
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cd4306032dee4bc7ad3cc9b6c76b51df_327510694_144248961807854_5517546850951455217.webp1.34 KB

WiFi Passwords Source Code python.coder_.py0.01 KB

>>> x = ['python', 'hub'] >>> x.sort(key = len) >>> print(x)
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Convert any Image into Sketch ๐Ÿ‘†

PythonHub: import cv2 image = cv2.imread("C/Users/User/Downloads/spid.png") gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) inverted = 255-gray_image blur = cv2.GaussianBlur(inverted, (21, 21), 0) invertedblur = 255-blur sketch = cv2.divide(gray_image, invertedblur, scale=256.0) cv2.imwrite("sketch.png", sketch) cv2.imshow("Image", sketch)

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Output of this code ๐Ÿ‘‡ >>> print (0.1 + 0.2 == 0.3)
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50+ Free Python projects with source code ๐Ÿ˜๐Ÿ‘‡ https://medium.com/@inprogrammer/50-python-projects-with-source-code-336bd54fea11

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