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Python Interviews
Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun
Show more📈 Analytical overview of Telegram channel Python Interviews
Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 760 subscribers, ranking 4 783 in the Technologies & Applications category and 15 157 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 760 subscribers.
According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 59 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 0.57%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
- Post reach: On average, each post receives 163 views. Within the first day, a publication typically gains 234 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as |--, link:-, learning, sql, analytic.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free
For collaborations: @coderfun”
Thanks to the high frequency of updates (latest data received on 09 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 Technologies & Applications category.
pip install requests
The most-commonly-used HTTP methods are GET and POST:
requests.get(url)
requests.post(url, data=somedictdata)
Each of there functions returns a Response. It's a really powerful object for inspecting the results of the request. We can get all the information we need from this object like text, status code or encoding.
🔗Docs
🔗Python’s Requests Library (Guide)
#requestsdata = [1,2,3,4,5,5,6,6,7,9,10]
var = list(filter(lambda x : x%2==0 , data))
print(var)
Output :
[2, 4, 6, 6, 10]a = [4,328,38,62]
print("The Maximum Value Is : ",min(a))
Output :
4a = [4,328,38,62]
print("The Maximum Value Is : ",max(a))
Output :
The Maximum Value Is : 328from functools import reduce
li = [5, 9, 12, 22, 40, 95]
sum = reduce((lambda x, y: x + y), li)
print(sum)
Output :
183