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
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Network:📈 Analytical overview of Telegram channel Python Interviews
Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 854 subscribers, ranking 4 620 in the Technologies & Applications category and 14 448 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 854 subscribers.
According to the latest data from 30 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 102 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 2.55%. Within the first 24 hours after publication, content typically collects 0.66% reactions from the total number of subscribers.
- Post reach: On average, each post receives 735 views. Within the first day, a publication typically gains 191 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 |--, 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 31 July, 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.
data = [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 :
183list_1 = [2,4,6,8,10] # all even no
list_2 = [2,5,1,6,7] # all not even no
list_1check= all([num%2==0 for num in list_1])
list_2check= all([num%2==0 for num in list_2])
print(list_1check)
print(list_2check)
Output :
True
Falselist_1 = [1,3,5,7,9] # all even no
list_2 = [3,5,6,11,7] # all not even no
list_1check= any([num%2==0 for num in list_1])
list_2check= any([num%2==0 for num in list_2])
print(list_1check)
print(list_2check)
Output:
False
Truelist_1 = ['User','Age','Salary']
list_2 = ['Rushi',19,28000] Converting Zip into a List
data_return =
list(zip(list_1,list_2)) print(data_return)list_1 = ['User','Age','Salary']
list_2 = ['Rushi',19,28000]
data_return = zip(list_1,list_2)
print(data_return)
Output
<zip object at 0x0000008C0C985080>