Vector Calculus: Formulations, Applications and Python Codes
Vector Calculus: Formulations, Applications and Python Codes covers differentiation and integration of vector functions, with computational methods for exploring vector fields. Its Jupyter notebook format brings theory and code together, while topics include gradient, divergence, curl and extensions of classical integral theorems.
At a glance
- Discusses calculating gradient, divergence and curl for vector fields.
- Covers Green's theorem, Stokes's theorem and Gauss's formula, including extensions and applications such as the smoothed gradient method.
- The listing describes a Jupyter notebook format for theory, code execution and interactive exploration.
Reference price: $98.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Connects vector calculus concepts with Python coding approaches.
- Combines differential operators and major integral theorems in one volume.
- Notebook-oriented presentation is intended to support code execution alongside theory.
Technical specifications
8 specifications| Publisher | World Scientific Publishing |
|---|---|
| Publication date | September 15, 2025 |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 9819813646 |
| ISBN-13 | 978-9819813643 |
| Weight listed | 1.46 pounds |
|---|---|
| Dimensions | 3.94 x 3.94 x 2.36 inches |
What to know before buying
- The listing describes a Jupyter notebook format but does not specify software requirements, code availability or whether printed-book buyers receive separate executable files. Confirm the format and access needs before purchase.
Who is it for?
A good fit for
- Readers studying vector calculus alongside computational methods.
- Learners interested in implementing vector-field operations and exploring classical integral theorems with code.
- Readers who can use a Jupyter notebook environment for interactive study.
Less suited to
- Buyers seeking a general Python programming introduction rather than a focused vector calculus text.
- Readers who need confirmed software setup instructions or specified downloadable code files.
Frequently asked questions
What mathematical topics does the book cover?
The listing describes differentiation and integration of vector functions, gradient, divergence and curl, and Green's theorem, Stokes's theorem and Gauss's formula with extensions.
Does it include Python material?
The title and description indicate Python codes and a Jupyter notebook format, but the listing does not specify software requirements or separate downloadable files.
How long is the book?
The listing gives a print length of 288 pages.
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