Exploring Python Libraries for Data Science

Exploring Python Libraries for Data Science

University

20 Qs

quiz-placeholder

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Exploring Python Libraries for Data Science

Exploring Python Libraries for Data Science

Assessment

Quiz

Education

University

Medium

Created by

durga p

Used 1+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of data visualization in data analysis?

To perform statistical calculations

To store data in a database

To create complex algorithms

The purpose of data visualization in data analysis is to make complex data more accessible and understandable.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name two common data visualization libraries in Python.

Pandas, NumPy

Matplotlib, Seaborn

Plotly, Bokeh

TensorFlow, Keras

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you create a Pandas Series from a list?

my_series = pd.create_series(my_list)

my_series = pd.Series(my_list, index=my_index)

my_series = pd.Series.from_list(my_list)

import pandas as pd; my_series = pd.Series(my_list)

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What method would you use to access the first element of a Pandas Series?

series.get(0)

series.iloc[0]

series.first()

series[0]

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you transpose a DataFrame in Pandas?

df.transposeData()

df.switch()

df.T or df.transpose()

df.flip()

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between a Series and a DataFrame in Pandas?

A Series is a table-like structure; a DataFrame is a list of values.

A Series is one-dimensional; a DataFrame is two-dimensional.

A Series is used for data visualization; a DataFrame is used for data analysis.

A Series can hold multiple data types; a DataFrame can only hold one.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe how to create a NumPy array from a Python list.

Use 'np.create_array(your_list)' to generate a NumPy array from a Python list.

Apply 'np.array_list(your_list)' to transform a Python list into a NumPy array.

Convert the list using 'np.tolist(your_list)' to make a NumPy array.

Use 'np.array(your_list)' to create a NumPy array from a Python list.

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