Description: Classic Computer Science Problems in Python by David Kopec Estimated delivery 4-14 business days Format Paperback Condition Brand New Description "For intermediate Python programmers"--Back cover. Publisher Description Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, youll remember important things youve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and youll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges youll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Mannings Classic Computer Science Problemsin Swift. Author Biography David Kopec teaches at Champlain College in Burlington, VT and is the author of Mannings Classic Computer Science Problems in Swift. Details ISBN 1617295981 ISBN-13 9781617295980 Title Classic Computer Science Problems in Python Author David Kopec Format Paperback Year 2019 Pages 224 Publisher Manning Publications GE_Item_ID:123765138; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 42.62 USD
Location: Calgary, Alberta
End Time: 2024-12-16T04:53:27.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781617295980
Book Title: Classic Computer Science Problems in Python
Number of Pages: 224 Pages
Language: English
Publication Name: Classic Computer Science Problems in Python
Publisher: Manning Publications Co. LLC
Item Height: 0.5 in
Subject: Programming / General, Intelligence (Ai) & Semantics, Computer Science, Programming / Object Oriented, Programming Languages / Python
Publication Year: 2019
Item Weight: 15.5 Oz
Type: Textbook
Item Length: 9.1 in
Subject Area: Computers
Author: David Kopec
Item Width: 7.3 in
Format: Trade Paperback