Register and get a free Certificate for the course: glacad.me/3pGFCHv Topics Covered 00:00:00 Intro 00:02:58 Agenda 00:04:26 Interview questions and answers for beginners 01:25:00 Interview questions and answers for experienced users 01:57:20 Tricky interview program questions and solutions 02:58:48 Summary
To clarify, at least half of all these questions are about NumPy and Pandas, so don't waste your time on those if they aren't applicable to you. Also, 29 at 2:49:29 has needless complexity and you will get docked for it in most interviews. To quickly swap the first and last elements in a list in python it's extremely simple and easy and always the same: my_list[0], my_list[-1] = my_list[-1], my_list[0] Only build something more robust if they ask you to- don't risk wasting time and not being able to complete your interview.
00:48:00 the string.capitalize() function changes ("this String") to ("This string") because it firstly converts all the characters to lower case and then just capitalize the first character. 00:52:30 you can remove duplicated by l=[1,2,2,1,9,4,5,7,4] print(list(set(l))) ## set() function changes the order of the list, use it carefully##
I'm just trying to do some constructive criticism here as this is viewed by a lot of beginners. IMO the example about passing values by value or by reference is misleading. In python, everything is passed by reference, except immutable objects which are passed by value. So in your first example where you are using a list and doing "print(arr)", the list is being passed by reference (actually a copy of the reference is passed). The print function could modify the list, it's just that it doesn't do it cause that's not its behavior. It would be better if you at least use a tuple instead of a list in that example, and better if you could talk about mutable and immutable types.
When the concept is easy, like head and tail of a dataframe, he is explaining with examples.. But when he is explain complex concepts like merge, he is just walking through with explanation
Yeah! I also spotted that. I think he should fix that. Spending a lot of time on easy questions and just blushing on important questions is not that exciting.
For 2:04(Check if input number is pallindrome or not) I thought this is the simple program n=int(input("ENTER INTEGERS:")) b='' " for i in str(n): b+=i c=b[::-1] d=int(c) if d==n: print("The given number is pallindrome") else: print("The given number is NOT pallindrome")
1:33:37 you have an error it should be: df[df.col2 != 'A'] watching this because i'm the one behind the desk giving an interview lol, am going to ask the trick question about tuples, thanks. :)
Great lesson! Here is a request, pls provide the materials also. I have faced this issue 2-3 times on great learning youtube videos... Pls do provide the material if you have mentioned in the video about it.
for palindrome question. cant we write a function which returns the reverse of the number like def ispalindrome(s) return s[::,-1] s = 1221 p = ispalindrome(str(s)) if (p == s) print (' palindrome') else print('Not palindrome')
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)
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.
Fantastic ! Thank you so much ! Just I realized that question 28 in the last part has not been solved correctly. If you try it with a string of length 20, and try to have 4 chunks, it will give you 5 chunks instead
Question No 37 A tuple can contain only the predefined number of values, in dictionary there is no such limitation. A tuple can contain different values with different datatype while a dictionary can contain only one datatype value at a time
@@prathameshvaidya3508 You didn't say dictionary key though, you said value. In dictionaries, a key is what references values. Make sure you don't get that mixed up in an interview.
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.
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.
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.
Register and get a free Certificate for the course: glacad.me/3pGFCHv
Topics Covered
00:00:00 Intro
00:02:58 Agenda
00:04:26 Interview questions and answers for beginners
01:25:00 Interview questions and answers for experienced users
01:57:20 Tricky interview program questions and solutions
02:58:48 Summary
Thanks for this video i placed in IBM bcz of your video 💥💥
To clarify, at least half of all these questions are about NumPy and Pandas, so don't waste your time on those if they aren't applicable to you. Also, 29 at 2:49:29 has needless complexity and you will get docked for it in most interviews. To quickly swap the first and last elements in a list in python it's extremely simple and easy and always the same:
my_list[0], my_list[-1] = my_list[-1], my_list[0]
Only build something more robust if they ask you to- don't risk wasting time and not being able to complete your interview.
00:48:00 the string.capitalize() function changes ("this String") to ("This string") because it firstly converts all the characters to lower case and then just capitalize the first character.
00:52:30 you can remove duplicated by
l=[1,2,2,1,9,4,5,7,4]
print(list(set(l)))
## set() function changes the order of the list, use it carefully##
I'm just trying to do some constructive criticism here as this is viewed by a lot of beginners. IMO the example about passing values by value or by reference is misleading. In python, everything is passed by reference, except immutable objects which are passed by value. So in your first example where you are using a list and doing "print(arr)", the list is being passed by reference (actually a copy of the reference is passed). The print function could modify the list, it's just that it doesn't do it cause that's not its behavior. It would be better if you at least use a tuple instead of a list in that example, and better if you could talk about mutable and immutable types.
I agree with you, and I hope the instructor would have a better understanding of the python instead of just reading the already-made PPT/code/Content.
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
Covers all concept Thanks.
Please create a same video MySQL
How many people's are going to attend interview?
Mee too
@@sravanireddy5277when is the interview????
Me❤
me
great video ..it covers almost all the basic stuff that can be asked in an interview..Fantastic Ladies and Gentlemen
Better code for palindrome 02:03:55 :
x = 110011
if str(x) == str(x)[::-1]:
print(True)
else:
print(False)
just write return str(x)==str(x)[::-1]
When the concept is easy, like head and tail of a dataframe, he is explaining with examples.. But when he is explain complex concepts like merge, he is just walking through with explanation
Yeah! I also spotted that. I think he should fix that. Spending a lot of time on easy questions and just blushing on important questions is not that exciting.
True , I've seen this clever move by many instructors
i have got alot knowledge of python. fantastic. while watching this video, i enjoyed aswell as you kept on saying fantastic. it was awesome.
For 2:04(Check if input number is pallindrome or not)
I thought this is the simple program
n=int(input("ENTER INTEGERS:"))
b='' "
for i in str(n):
b+=i
c=b[::-1]
d=int(c)
if d==n:
print("The given number is pallindrome")
else:
print("The given number is NOT pallindrome")
Kindly share the Collab File discussed in the Video to download ! That would really help !!
Thank you sur i got selected beacause of your interview question and your teaching
How do you prepared for the placement?
@@shubhangikande2695 I prepare the basics of python by this video
@wizard scholar in cognizant bro salary 4 lpa
@wizard scholar I am selected on campus bro
@wizard scholarthrough their own website or linked in bro
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])
Thanks a lot sir for all your endeavors to enhance our skills. ❤
2:49:50
sample_list[0], sample_list[-1]=sample_list[-1], sample_list[0]
01:32:55 Actually, we don't need the dropna to remove the first the column. df=df[df.col1!=1] drops it
8. Advanced Users - Lambda function to add numbers in a list: ans = lambda x:sum(x)
Q29: 52:30 use my_list = set(list(my_list)) works. But the output shows the values in different orders as the original list.
Because set is an unordered collection of data
U can use sort() to when it is in list.
mylist=[1,2,3,3]
newlist= sort(list(set(mylist)))
1st Question)
What are Key features Of Python) 4:27
1:33:37
you have an error it should be: df[df.col2 != 'A']
watching this because i'm the one behind the desk giving an interview lol, am going to ask the trick question about tuples, thanks. :)
Great lesson!
Here is a request, pls provide the materials also. I have faced this issue 2-3 times on great learning youtube videos... Pls do provide the material if you have mentioned in the video about it.
for palindrome question. cant we write a function which returns the reverse of the number like
def ispalindrome(s)
return s[::,-1]
s = 1221
p = ispalindrome(str(s))
if (p == s)
print (' palindrome')
else
print('Not palindrome')
if condition will fail as s in an int while p is str
Please provide notes in the form of pdf of this session 🙏🙏🙏🙏
Question 2:
Keyword cannot* be used as identifiers, function names etc..
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Where is the jupyter notebook?
nested list i think
Could you please share the 100 Question asnswer sheet as pdf with us ?
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)
Really thanks.
HI, Great set of questions. You mention that the Jupyter NB is available for this can please provide link to it?
Appreciate your effort in collecting these questions..Thanks for the collection..Hope it helps in cracking TR for my placement
Did it helped?
Thank you so much for the valueable information and boosting our skills
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.
Fantastic video. Thanks.🙏🙏🙏🙏🙏🙏
Thank you for this. Very straightforward and easy.
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Thanks for collecting questions ..very helpfull..
Question 5)
for i in range(1, 6):
print((str(i)+' ')*i)
Fantastic ! Thank you so much !
Just I realized that question 28 in the last part has not been solved correctly. If you try it with a string of length 20, and try to have 4 chunks, it will give you 5 chunks instead
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Yes, the question says "into n chunks" but solution is doing chunks with number of n element.
great session.... its very helpful to appear in any python interview
Can we get the jupyter file please ....
If possible to share the file then pls share at G-drive of same account
Please share the jupyter notebook
2:11:29
0
0 1
0 1 2
0 1 2 3
0 1 2 3 4
for inp_num in range(6):
for i in range(inp_num):
print(i,end=" ")
print("")
Great refresher. Thanks man
Thank you very much sir . It is really helpful 👍
🙏🙏
Completed this in one sitting
Thank you sir
Hi sir kindly plz make vdo on TabPy also it will be a great help 😍
Thank you very much it was very helpful for me
Hey,
I liked the video and especially that you talked about Liverpool!
Is this applicable for data analyst/ data scientist interview or for development only?
Nicely explained!! Very much helpful:)
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Question No 17 - how to get access the csv file available in your computer in Colab Research?
Can you please share the jupyter notebook or PDF?
Thanks for sharing the knowledge...
thank you i have gone through the whole video..
Thankyou for this video❤
Question No 37
A tuple can contain only the predefined number of values, in dictionary there is no such limitation.
A tuple can contain different values with different datatype while a dictionary can contain only one datatype value at a time
d = {1 : 'one', 2 : 2} , dict can heterogeneous datatypes
@@prashantmahamuni keys in dictionary are not heterogeneous dude
@@prathameshvaidya3508 You didn't say dictionary key though, you said value. In dictionaries, a key is what references values. Make sure you don't get that mixed up in an interview.
d = {1: "one", "one" : 1} is a valid dictionary, so dictionary keys can be heterogeneous. [version python 3.11]
"fantastic guys" is the only Word I'm mostly listening while viewing the whole lecture.😂😂😂
Thank you :)
Ye video agar hindi me rahta to abhi million view rahta , fantastic
Great video and actually like Interview.
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Thanks for this video anirudh sir 🙏🏼
2:34:00 everything in python is pass-by-reference
Thank you Anirudh
Sir can you share the link for google collab notebook which you have shown in the video?
Thank you ! can u share the video slides ?
Thank u sir!
Is it the correct time for a fresher to learn python from now! To get a job later so easily plz answer it bro???
Next level 💯💯
Thank you so much..✌
another solution for palindrome:
def palindrome(number):
str_num=str(number)
if str_num[::1] == str_num[::-1]:
return True
return False
if you don't mind can you provide PPT file of these question and answer
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.
Thanks
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great
Plzz yrrr Hindi mai bnaya kro
Provide PDF in all question and answers
Bro can u please provide any pdf for interview questions ..
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.
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.
1:33:30 dropna( ) isn't doing anything, line below is dropping that row
buddy can I get a pdf for this really helpful
these are interview questions can be designed for data science engineers
The code at 2:54:46 is incorrect. It does not break a list into n chunks. It breaks it into unknown amount of chunks with n elements each.
Plz send in PDF bro ..
Bro can you please share the ppt which you have used to explain..,?
Loved it
4:30
can the decorators be called inheritance of functions?
52.26. my_list= list(set(my_list))
its more towards data science and ml
Dictionary in python is ordered from python 3.6+
Sir can you please provide pdf of this .....
Also share for java question
Can we get this jupyter notebook
make same video for SQL
Which is the object that cannot be copied in python?
2:40:40
can we get pdf for this seession
bro please help me iam new learner to the python ,iam non it background
Legendary
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How many time you say Fantastic.