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Ciphers, Fractals, and Fibonacci (Exploring Math with Python)
List Price:
$39.99
| Expected release date is Sep 29th 2026 |
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Product Details
Author:
John Lehet
Format:
Paperback
Pages:
256
Publisher:
No Starch Press (September 29, 2026)
Imprint:
No Starch Press
Release Date:
September 29, 2026
Language:
English
Audience:
General/trade
ISBN-13:
9781718505063
ISBN-10:
171850506X
Weight:
13oz
Dimensions:
7" x 9.25"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T170302_155746821-20260405.xml
Folder:
RandomHouse
List Price:
$39.99
Country of Origin:
United States
Pub Discount:
65
Case Pack:
24
As low as:
$30.79
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Overview
Ciphers, Fractals, and Fibonacci teaches readers how to understand mathematics by experimenting with it. Using short, focused Python programs, readers explore how mathematical ideas behave, change, and interact — developing intuition through observation rather than memorization.
Mathematics often feels abstract because it is taught as static symbols on a page. But real understanding comes from seeing how ideas behave when you change them.
Ciphers, Fractals, and Fibonacci brings an experimental mindset to mathematics, using Python as a tool for exploration. Across eighteen carefully chosen topics, readers write and modify small programs to observe patterns, test assumptions, and see mathematical concepts unfold in real time.
This is not a programming book, and it is not a traditional math textbook. Instead, it treats math the way scientists treat physical systems: by running experiments, asking “what if?”, and learning from what happens. With only basic arithmetic and algebra as prerequisites, readers develop mathematical intuition by doing, not by rote.
Mathematics often feels abstract because it is taught as static symbols on a page. But real understanding comes from seeing how ideas behave when you change them.
Ciphers, Fractals, and Fibonacci brings an experimental mindset to mathematics, using Python as a tool for exploration. Across eighteen carefully chosen topics, readers write and modify small programs to observe patterns, test assumptions, and see mathematical concepts unfold in real time.
This is not a programming book, and it is not a traditional math textbook. Instead, it treats math the way scientists treat physical systems: by running experiments, asking “what if?”, and learning from what happens. With only basic arithmetic and algebra as prerequisites, readers develop mathematical intuition by doing, not by rote.
