Python Interviews

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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

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India15 157 Technologies & Applications4 783...

📈 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.

28 760

Subscribers

-1124 hours

+217 days

+5930 days

163

Post views

~ 23424 hours

~ 30148 hours

0.57%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

28 762

REDUCE FUNCTION The reduce(fun,seq) function is used to apply a particular function passed in its argument to all of the list elements mentioned in the sequence passed along.This function is defined in “functools” module

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ALL FUNCTION EXAMPLE :

list_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 False

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ALL FUNCTION SYNTAX : all(list of iterables)

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ALL FUNCTION All Returns true if all of the items are True (or if the iterable is empty). All can be thought of as a sequence of AND operations on the provided iterables. It also short circuit the execution i.e. stop the execution as soon as the result is known.

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ANY FUNCTION EXAMPLE :

list_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 True

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ANY FUNCTION SYNTAX : any(list of iterables)

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ANY FUNCTION Any Returns true if any of the items is True. It returns False if empty or all are false. Any can be thought of as a sequence of OR operations on the provided iterables. It short circuit the execution i.e. stop the execution as soon as the result is known.

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ZIP FUNCTION EXAMPLE 2

list_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)

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ZIP FUNCTION EXAMPLE 1

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>

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ZIP FUNCTION SYNTAX zip(iterator1, iterator2, iterator3 .)

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ZIP FUNCTION The zip() function returns a zip object, which is an iterator of tuples where the first item in each passed iterator is paired together, and then the second item in each passed iterator are paired together etc. If the passed iterators have different lengths, the iterator with the least items decides the length of the new iterator.

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MAP FUNCTION EXAMPLE

def addition(n) : 
   return n + n 
numbers = (1, 2, 3, 4)        
result = map(addition, numbers) 
print(list(result))

Output [2, 4, 6, 8]

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fun : It is a function to which map passes each element of given iterable. iter : It is a iterable which is to be mapped. NOTE : You can pass one or more iterable to the map() function.

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MAP FUNCTION SYNTAX map(fun, iter)

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MAP FUNCTION map() function returns a map object(which is an iterator) of the results after applying the given function to each item of a given iterable (list, tuple etc.)

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WHY USE LAMBDA FUNCTION ? You should use the lambda function to create simple expressions. For example, expressions that do not include complex structures such as if-else, for-loops, and so on. So, for example, if you want to create a function with a for-loop, you should use a user-defined function.

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LAMBDA EXPRESSION SYNTAX lambda arguments : expression

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LAMBDA EXPRESSION A lambda function is a small anonymous function. A lambda function can take any number of arguments, but can only have one expression. argument(s) is a placeholder, that is a variable that will be used to hold the value you want to pass into the function expression. A lambda function can have multiple variables depending on what you want to achieve.

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**KWARGS EXAMPLE 2 : In this case, positional arguments are collected into a tuple args, and keyword arguments are collected into a dictionary kwargs

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You can also use both args and kwargs together in a function definition, like this: