Welcome to the Developing Data Products MCQs Page

Dive deep into the fascinating world of Developing Data Products with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Developing Data Products, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Developing Data Products, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

Check out the MCQs below to embark on an enriching journey through Developing Data Products. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Developing Data Products. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Developing Data Products MCQs | Page 4 of 5

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Q31.

Which of the following is contained in NumPy library?

n-dimensional array object

tools for integrating C/C++ and Fortran code

fourier transform

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q32.

Point out the wrong statement.

ipython is an enhanced interactive Python shell

matplotlib will enable you to plot graphics

rPy provides a lot of scientific routines that work on top of NumPy

all of the mentioned

Discuss

Answer: (c).rPy provides a lot of scientific routines that work on top of NumPy

Q33.

The ________ function returns its argument with a modified shape, whereas the ________ method modifies the array itself.

reshape, resize

resize, reshape

reshape2, resize

all of the mentioned

Discuss

Answer: (a).reshape, resize

Q34.

To create sequences of numbers, NumPy provides a function __________ analogous to range that returns arrays instead of lists.

arange

aspace

aline

all of the mentioned

Discuss

Answer: (a).arange

Q35.

Point out the correct statement.

NumPy main object is the homogeneous multidimensional array

In Numpy, dimensions are called axes

Numpy array class is called ndarray

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q36.

Which of the following function stacks 1D arrays as columns into a 2D array?

row_stack

column_stack

com_stack

all of the mentioned

Discuss

Answer: (b).column_stack

Q37.

ndarray is also known as the alias array.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q38.

Which of the following method creates a new array object that looks at the same data?

view

copy

paste

all of the mentioned

Discuss

Answer: (a).view

Q39.

Which of the following function can be used to combine different vectors so as to obtain the result for each n-uplet?

iid_

ix_

ixd_

all of the mentioned

Discuss

Answer: (b).ix_

Q40.

ndarray.dataitemSize is the buffer containing the actual elements of the array.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Page 4 of 5

Welcome to the Developing Data Products MCQs Page

Developing Data Products MCQs | Page 4 of 5

Explore more Topics under Data Science

Data Science Basics

Data Analysis with Python

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Machine Learning

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