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Scientific Computing with Python 3

Scientific Computing with Python 3

By : Claus Führer, Claus Fuhrer, Olivier Verdier, Jan Erik Solem
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Scientific Computing with Python 3

Scientific Computing with Python 3

4 (2)
By: Claus Führer, Claus Fuhrer, Olivier Verdier, Jan Erik Solem

Overview of this book

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
Table of Contents (17 chapters)
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16
References

Tuples

A tuple is an immutable list. Immutable means that it cannot be modified. A tuple is just a comma-separated sequence of objects (a list without brackets). To increase readability, one often encloses a tuple in a pair of parentheses:

my_tuple = 1, 2, 3     # our first tuple
my_tuple = (1, 2, 3)   # the same
my_tuple = 1, 2, 3,    # again the same
len(my_tuple) # 3, same as for lists
my_tuple[0] = 'a'   # error! tuples are immutable

The comma indicates that the object is a tuple:

singleton = 1,   # note the comma
len(singleton)   # 1

Tuples are useful when a group of values goes together; for example, they are used to return multiple values from functions (refer to section Returns Values in Chapter 7, Functions. One may assign several variables at once by unpacking a list or tuple:

a, b = 0, 1 # a gets 0 and b gets 1
a, b = [0, 1] # exactly the same effect
(a, b) = 0, 1 # same
[a,b] = [0,1] # same thing

Tip

The swapping trick

Use packing and unpacking to swap the contents of...

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