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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

Methods mimicking function calls and iterables

Using a class instance together with parentheses or brackets, () or [], invokes a call to one of the special methods __call__ or __getitem__, giving the instance the behavior of a function or of an iterable; see also Table 8.1.

class Polynomial:
    ...
    def __call__(self, x):
        return self.eval(x)

Which now may be used as follows:

p = Polynomial(...)    # Creating a polynomial object
p(3.) # value of p at 3.

The special method __getitem__ makes sense if the class provides an iterator (it is recommended that you review Section 9.2.1: Generators before you consider the following example).

The recursion is called a three-term recursion. It plays an important role in applied mathematics, in particular in the construction of orthogonal polynomials. We can set up a three-term recursion as a class in the following way:

import itertools

class  Recursion3Term:
    def __init__(self, a0, a1, u0, u1):
        self.coeff = [a1, a0]
     ...
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