- Home
- Computers
- Programming
- Python Programming Using Problem Solving
Python Programming Using Problem Solving
List Price:
$62.99
- 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:
Harsh Bhasin
Format:
Paperback
Pages:
574
Publisher:
De Gruyter (July 13, 2023)
Imprint:
Mercury Learning and Information
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781683928621
ISBN-10:
1683928628
Weight:
40oz
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260601163212-20260601.xml
Folder:
TWO RIVERS
List Price:
$62.99
Country of Origin:
Germany
Pub Discount:
60
As low as:
$54.17
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
14
Overview
Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter.








