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Scientific Computing with Python

Scientific Computing with Python

By : Führer, Claus Fuhrer, Solem, Verdier
4.5 (15)
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Scientific Computing with Python

Scientific Computing with Python

4.5 (15)
By: Führer, Claus Fuhrer, Solem, Verdier

Overview of this book

Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Table of Contents (23 chapters)
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20
About Packt
22
References

3.6 Container conversions

We summarize in the following Table 3.3 the most important properties of the container types presented so far. (Arrays will be treated separately in Chapter 4: Linear Algebra  Arrays):

Type

Access

Order

Duplicate Values

Mutability

List

By index

Yes

Yes

Yes

Tuple

By index

Yes

Yes

No

Dictionary

By key

No

Yes

Yes

Set

No

No

No

Yes

Table 3.3: Container types

As you can see in the previous table, there is a difference in accessing container elements, and sets and dictionaries are not ordered.

Due to the different properties of the various container types, we frequently convert one type to another (see Table 3.4):

Container Types

Syntax

List → Tuple

tuple([1, 2, 3])

Tuple → List

list((1, 2, 3))

List, Tuple → Set

set([1, 2]), set((1, ))

Set → List

list({1, 2 ,3})

Dictionary →...

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