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Scientific Computing with Python - Second Edition

You're reading from  Scientific Computing with Python - Second Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Pages 392 pages
Edition 2nd Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Preface Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working with Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples About Packt Other Books You May Enjoy References

7.7.1 The lambda construction is always replaceable

It is important to note that the lambda construction is only syntactic sugar in Python. Any lambda construction may be replaced by an explicit function definition:

parabola = lambda x: x**2+5 
# the following code is equivalent
def parabola(x):
    return x ** 2 + 5

The main reason to use this construction is for very simple functions when a full function definition would be too cumbersome.

lambda functions provide a third way to make closures as we demonstrate by continuing with the previous example, .

We use the function sin_omega from Section 7.6.1, Partial Applicationto compute the integral of the sine function for various frequencies:

import scipy.integrate as si
for iteration in range(3):
    print(si.quad(lambda x: sin_omega(x, iteration*pi), 0, pi/2.) )
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