Python Analytics interview questions 1-5
Python Analytics interview questions
In this series, we will add some of the basic questions to start with Python. Slowly we will move to moderate level DSA questions followed by Pandas, Numpy, and OS module.
All you need to do is to install Python in your system and start from scratch.
We will try to solve each question in multiple ways, if you are missing out on the basics then do consult Tutorialspoint or w3school. Invest around 6 hours on these websites and you should be good to go
Python Analytics interview questions
Python Basic Question
1. Take input of two numbers from users and find out the maximum
a = input("Enter first number :")
b = input("Enter second number ")
if a>b:
print(a + " is greater than " + b)
else:
print(b + " is greater than "+a)
or
a = 30
b = 40
print(a if a>b else b)
or
a = 10
b = 30
c = max(a,b)
print(c)
2. Print the factorial of any number
a = 10
def fact(n):
if (n == 1 or n==0):
return 1
else:
return n*fact(n-1)
print(fact(5))
or
import math
print(math.factorial(5))
3. Get square of the number if the number is odd and cube if even
def yoo(n):
if (n%2 == 0):
return nnn
else:
return n*n
print(yoo(3))
print(yoo(2))
4. Print square of first n natural numbers
x = int(input("Enter a natural number = "))
def sum_of_natural(x):
ss = 0
for i in range(1,x):
ss = ss+(i*i)
return ss
print("Sum of square of natural numbers are = " , sum_of_natural(x))
5. Find if a number is an Armstrong number.
Example – 153 is an Armstrong number as 1^3+5^3+3^3 = 153
num = int(input("Enter a number = "))
s = 0
x = num
while (x >0 ):
digit = x%10
s = s+(digitdigitdigit)
x = x//10
print(s)
print("Armstrong" if s == num else "Not Armstrong")
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Important Resources to crack interviews (Mostly Free)
There are a few things which might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics Manager, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
