The tech industry is growing like never before. Every now and then, we see new software products released in the market. So no matter whether you’re fresh on the scene or an experienced Python developer, there are always opportunities waiting for you.
The only requirement is you have to convince your potential employer using your skills. This can be made possible by appearing in Python programming interviews.
But you’ve got to prepare yourself; otherwise, someone else might get the job. You can either try Python programming challenges or simply overview the frequently asked Python interview questions and answers.
Today, I’m gonna share my personal experience of Python interviews with you. I’ll list the questions they asked me, including their possible solutions. So it’ll be an ultimate guide for you to get hired as a Python programmer.
1. Taking the Iris Data Set, Retrieve Only Those Records where ‘Sepal.Length’ Is Greater Than 6 and ‘Sepal.Width’ Is Greater Than 3.3
Iris data set details
Code
import pandas as pd
iris = pd.read_csv('iris.csv')
df = pd.DataFrame(iris)
for i, j in df.iterrows():
if (j['sepal_length'] > 6) & (j['sepal_width'] > 3.3):
print(j)
print()
Output
sepal_length 7.2
sepal_width 3.6
petal_length 6.1
petal_width 2.5
species virginica
Name: 109, dtype: object
sepal_length 7.7
sepal_width 3.8
petal_length 6.7
petal_width 2.2
species virginica
Name: 117, dtype: object
sepal_length 7.9
sepal_width 3.8
petal_length 6.4
petal_width 2
species virginica
Name: 131, dtype: object
sepal_length 6.3
sepal_width 3.4
petal_length 5.6
petal_width 2.4
species virginica
Name: 136, dtype: object
sepal_length 6.2
sepal_width 3.4
petal_length 5.4
petal_width 2.3
species virginica
Name: 148, dtype: object
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