Top 100 Python Interview Questions | Python Programming | Crack Python Interview |Great Learning

Thank you so much for the valueable information and boosting our skills

Easiest way or logic for the 2nd largest number in a list, please check -->
list1 = [2,7,3,5,9,11,6]
list1.sort()
list1.pop(-1)
print(list1[-1])

Remove duplicate elements from the list
x=[1,2,3,45,67,1,2,3,4,5,6,2,3,4,5,67]
z=[ ]
for i in x:
if i not in z:
z.append(i)
print(

can we get pdf for this seession

Armstrong Definition is wrong! We can only cube each digit if the given number has only 3 digits. For other number we need to use power of total number of digits.

This is the definition:
An Armstrong number is a number that is equal to the sum of its own digits each raised to the power of the number of digits.


so if your number is 3452 then we should check if (3**4)+(4**4)+(5**4)+(2**4)==3452. if yes, it is Armstrong otherwise not.

similarly for number 10 we should check like this (1**2)+(0**2)==10. this not armstrong since 1 not equal to 10.

fantastic is irritating

8. Advanced Users - Lambda function to add numbers in a list: ans = lambda x:sum(x)

in the 2nd answer first line that keywords are reserved words which are used as identifiers and function names and more, i cannot understand that. The keyword cannot be used as an identifier, function, or variable name.

its more towards data science and ml

where is the notebook?

Thank you :)

Hey,
I liked the video and especially that you talked about Liverpool!

Completed this in one sitting
Thank you sir

Thank you :)

Fantastic video. Thanks.🙏🙏🙏🙏🙏🙏

Thank u sir!

for question 55.
import pandas as pd

# Create a sample DataFrame
df = pd.DataFrame({'col1': ['A', 'B', 'C', 'A', 'D'], 'col2': [1, 2, 3, 4, 5], 'col3':['A','A','B','C','D']})

# Create an empty list to store the index of the rows to drop
to_drop = []

# Iterate through the rows of the DataFrame
for index, row in df.iterrows():
# Check if the value 'A' is present in any of the columns of the row
if 'A' in row.values:
# If it is, append the index to the list of rows to drop
to_drop.append(index)
print(df)
# Drop the rows using the list of indexes
df = df.drop(to_drop)

print(df)

Bro can u send these questions in pdf

Thank you ! can u share the video slides ?

"fantastic guys" is the only Word I'm mostly listening while viewing the whole lecture.😂😂😂

Bro can you please share the ppt which you have used to explain..,?

How many time you say Fantastic.

Really thanks.

Where is the notebook??

buddy can I get a pdf for this really helpful

Thanks

I was watching this interview before an interview, I found your way of talking very irritating and a waste of time extending the video time.

Honestly, this video is a complete waste of time.

Question 5 of experienced users section, df.dropna() is not required. That is doing nothing for given dataset, and you are highlighting that part only.

The title of this video should be " Python pandas questions for data science interview" not for developers. waster of time!

Thank you very much it was very helpful for me

Plzz yrrr Hindi mai bnaya kro

❤❤l💗💗

Great video and actually like Interview.

Legendary

Hats off to you for making such a great video with practicals. I understood more than i had learnt because of practicals. I dont know how to tahank you. Hoping to attend interview next month . Thank you so much.

Question 5)
for i in range(1, 6):
print((str(i)+' ')*i)

Sir can you share the link for google collab notebook which you have shown in the video?

Ye video agar hindi me rahta to abhi million view rahta , fantastic

l = [ 1,1,1,2,2,2,3,3,3,3,4,5,5,5,6,6]
l = list(set(l))
to remove duplicate elements from list

Thank you Anirudh

Thank you for sharing

Is it the correct time for a fresher to learn python from now! To get a job later so easily plz answer it bro???