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Learn Calculus with Python
List Price:
$49.99
| Expected release date is Aug 4th 2026 |
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Product Details
Author:
Nick McIntyre
Format:
Paperback
Pages:
256
Publisher:
No Starch Press (August 4, 2026)
Imprint:
No Starch Press
Release Date:
August 4, 2026
Language:
English
Audience:
General/trade
ISBN-13:
9781718504486
ISBN-10:
1718504489
Weight:
13oz
Dimensions:
7" x 9.25"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T170752_155746838-20260405.xml
Folder:
RandomHouse
List Price:
$49.99
Country of Origin:
United States
Pub Discount:
65
Case Pack:
28
As low as:
$38.49
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Overview
An intuitive, Python-based introduction to calculus for readers interested in real applications of the math.
Many people take a calculus course and walk away remembering almost nothing—except vague ideas about slopes, curves, and something called a tangent.
Learn Calculus with Python is written for those readers, as well as anyone else with a firm grasp of algebra and trigonometry who is eager to learn the practical math underlying machine learning optimization, signals processing, planetary simulations, and other useful applications.
Rather than teaching calculus as a collection of formulas and procedures, this book uses guided Jupyter Notebooks to introduce concepts like derivatives, integrals, the Fundamental Theorem, and dynamical systems through visualizations and real-world examples.
Designed for curious self-learners, programmers, and students who want to understand what calculus is actually describing, Learn Calculus with Python rebuilds the subject from the inside out— patiently and in context.
Many people take a calculus course and walk away remembering almost nothing—except vague ideas about slopes, curves, and something called a tangent.
Learn Calculus with Python is written for those readers, as well as anyone else with a firm grasp of algebra and trigonometry who is eager to learn the practical math underlying machine learning optimization, signals processing, planetary simulations, and other useful applications.
Rather than teaching calculus as a collection of formulas and procedures, this book uses guided Jupyter Notebooks to introduce concepts like derivatives, integrals, the Fundamental Theorem, and dynamical systems through visualizations and real-world examples.
Designed for curious self-learners, programmers, and students who want to understand what calculus is actually describing, Learn Calculus with Python rebuilds the subject from the inside out— patiently and in context.
