2.6 Use the NumPy linspace function to create vectors equivalent to the following Python statements: (a) np.arange(4,35,6) (b) np.arange (-4,2) 2.7 Use NumPy's a range function to create vectors identical to the following created with the linspace function: (a) np.linspace(-2,1.5,8) (b) np.linspace(8,4.5,8)
2.6 Use the NumPy linspace function to create vectors equivalent to the following Python statements: (a) np.arange(4,35,6) (b) np.arange (-4,2) 2.7 Use NumPy's a range function to create vectors identical to the following created with the linspace function: (a) np.linspace(-2,1.5,8) (b) np.linspace(8,4.5,8)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question

Transcribed Image Text:#2.6
# Assign your answer to problem(a) as y_c, your answer to problem (b) as y_d
y_c =
y_d
=
#%%
#2.7
# Assign your answer to problem(a) as y_e, your answer to problem(b) as y_f
y_e =
y_f =

Transcribed Image Text:2.6 Use the NumPy linspace function to create vectors equivalent
to the following Python statements:
(a) np.arange(4,35,6)
(b) np.arange(-4,2)
2.7 Use NumPy's a range function to create vectors identical to the
following created with the linspace function:
(a) np.linspace(-2,1.5,8)
(b) np.linspace(8,4.5,8)
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