Buy new:
£40.99
& FREE Returns
Return this item for free
  • Free returns are available for the shipping address you chose. For a full refund with no deduction for return shipping, you can return the item for any reason in new and unused condition.
  • Learn more about free returns.
FREE delivery Friday, August 12. Details
Or fastest delivery Wednesday, August 10. Order within 46 mins. Details
In stock.
As an alternative, the Kindle eBook is available now and can be read on any device with the free Kindle app.
[{"displayPrice":"£40.99","priceAmount":40.99,"currencySymbol":"£","integerValue":"40","decimalSeparator":".","fractionalValue":"99","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"bPl%2FskWLmNAFGBwIWyiFKyv%2BpwHzpdzomWOk5Zt1ktQ%2FljCfY4cGt0KDPP1pfLqdWujTNjRxPgw8rbFZzk7Y43V0r01BX9%2FX%2Bo%2F0EYZ3848eOrjKHMd8QmmLybCFu6Nr","locale":"en-GB","buyingOptionType":"NEW"}]
££40.99 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
££40.99
Subtotal
Initial payment breakdown
Delivery cost, delivery date and order total (including tax) shown at checkout.
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Dispatches from
Amazon
Sold by
Amazon
Dispatches from
Amazon
Sold by
Amazon
Return policy: Returnable within 30 days of receipt
Item can be returned in its original condition for a full refund or replacement within 30 days of receipt
Data Structures and Algor... has been added to your Basket
Share <Embed>
Have one to sell?
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer - no Kindle device required. Learn more.

Read instantly on your browser with Kindle Cloud Reader.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Follow the Authors

Something went wrong. Please try your request again later.

Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science) Paperback – 22 Jan. 2015

4.5 out of 5 stars 24 ratings

Amazon Price
New from Used from
Kindle Edition
Paperback
£40.99
£40.99
Promotion Message Prime Student members get 10% off. 1 promotion
  • Prime Student members get 10% off.
    Prime Student members get an extra 10% off a selection of books. Offered by Amazon.co.uk. Here's how (terms and conditions apply)
Note: This item is eligible for FREE Click and Collect without a minimum order subject to availability. Details
Pick up your parcel at a time and place that suits you subject to availability.
  • Choose from over 20,000 locations across the UK
  • FREE unlimited deliveries at no additional cost for all customers
How to order to an Amazon Pickup Location?
  1. Find your preferred location and add it to your address book
  2. Dispatch to this address when you check out
Learn more

Enhance your purchase

The Booker Prize 2022

Discover this year's longlisted books
Learn more

Special offers and product promotions

  • Prime Student members get an extra 10% off a selection of books. Offered by Amazon.co.uk. Here's how (terms and conditions apply)

Product description

From the Back Cover

This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.

Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.

Topics and features:

  • Includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface
  • Provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples
  • Offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author
  • Presents a primer on Python for those coming from a different language background
  • Reviews the use of hashing in sets and maps, along with an examination of binary search trees and tree traversals, and material on depth first search of graphs
  • Discusses topics suitable for an advanced course, such as membership structures, heaps, balanced binary search trees, B-trees and heuristic search

Students of computer science will find this clear and concise textbook to be invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python.

About the Author

Dr. Kent D. Lee is Professor of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer textbook Python Programming Fundamentals and the forthcoming Foundations of Programming Languages.

Dr. Steve Hubbard is Professor of Mathematics and Computer Science at Luther College.


Product details

  • Publisher ‏ : ‎ Springer; 2015th edition (22 Jan. 2015)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 378 pages
  • ISBN-10 ‏ : ‎ 3319130714
  • ISBN-13 ‏ : ‎ 978-3319130712
  • Dimensions ‏ : ‎ 15.49 x 2.18 x 23.5 cm
  • Customer reviews:
    4.5 out of 5 stars 24 ratings

About the authors

Follow authors to get new release updates, plus improved recommendations.

Customer reviews

4.5 out of 5 stars
4.5 out of 5
24 global ratings
5 star
68%
4 star
18%
3 star
14%
2 star 0% (0%) 0%
1 star 0% (0%) 0%

Top review from United Kingdom

Reviewed in the United Kingdom on 11 February 2022