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Applying Math with Python - Second Edition

You're reading from  Applying Math with Python - Second Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Pages 376 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley

Table of Contents (13) Chapters

Preface Chapter 1: An Introduction to Basic Packages, Functions, and Concepts Chapter 2: Mathematical Plotting with Matplotlib Chapter 3: Calculus and Differential Equations Chapter 4: Working with Randomness and Probability Chapter 5: Working with Trees and Networks Chapter 6: Working with Data and Statistics Chapter 7: Using Regression and Forecasting Chapter 8: Geometric Problems Chapter 9: Finding Optimal Solutions Chapter 10: Improving Your Productivity Index Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “The Decimal package also provides the Context object, which allows for fine-grained control over the precision, display, and attributes of Decimal objects.”

A block of code is set as follows:

from decimal import getcontext
ctx = getcontext()
num = Decimal('1.1')
num**4  # Decimal('1.4641')
ctx.prec=4  # set the new precision
num**4  # Decimal('1.464')

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

from numpy import linalg
A = np.array([[3, -2, 1], [1, 1, -2], [-3, -2, 1]])
b = np.array([7, -4, 1])

Any command-line input or output is written as follows:

$ python3.10 -m pip install numpy scipy

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Select System info from the Administration panel.”

Tips or important notes

Appear like this.

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