Learn Python Coding
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
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📈 Analytical overview of Telegram channel Learn Python Coding
Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 881 subscribers, ranking 3 284 in the Technologies & Applications category and 9 119 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 881 subscribers.
According to the latest data from 02 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 278 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.94%. Within the first 24 hours after publication, content typically collects 0.99% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 021 views. Within the first day, a publication typically gains 403 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Thanks to the high frequency of updates (latest data received on 03 November, 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 Technologies & Applications category.
import functools
import logging
def log(level=logging.INFO):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
logging.log(level, f"Call {func.__name__} with args={args}, kwargs={kwargs}")
return func(*args, **kwargs)
return wrapper
return decorator
@log(logging. DEBUG)
def compute(x, y):
return x + y
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