Introduction to Python for Science and Engineering
List Price:
$71.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
David J. Pine
Format:
Paperback
Pages:
388
Publisher:
CRC Press (December 5, 2018)
Language:
English
ISBN-13:
9781138583894
Weight:
19.375oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_240319053634672-20240319.xml
Folder:
TAYLORFRANCIS
List Price:
$71.99
Series:
Series in Computational Physics
Case Pack:
12
As low as:
$68.39
Publisher Identifier:
P-CRC
Discount Code:
H
Audience:
College/higher education
Country of Origin:
United States
Pub Discount:
30
Overview
Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors
Introduction to Python for Science and Engineering
This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.
Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader.
David J. Pine
is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.