- Home
- Computers
- Programming
- Numerical Methods with Python (for the Sciences)
Numerical Methods with Python (for the Sciences)
List Price:
$91.99
- 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:
William Miles
Format:
Paperback
Pages:
326
Publisher:
De Gruyter (March 6, 2023)
Language:
English
Audience:
College/higher education
ISBN-13:
9783110776454
ISBN-10:
3110776456
Weight:
22.4oz
Dimensions:
6.69" x 9.45"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260511163247-20260511.xml
Folder:
TWO RIVERS
List Price:
$91.99
Country of Origin:
Germany
Series:
De Gruyter Textbook
As low as:
$79.11
Publisher Identifier:
P-PER
Discount Code:
C
Pub Discount:
60
Case Pack:
20
Imprint:
De Gruyter
Overview
Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others.
The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science.
