BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO MULTIPROCESSING 2ED (PB 2024)

DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO MULTIPROCESSING 2ED (PB 2024)

DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO
Stock photo: cover may vary

DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO MULTIPROCESSING 2ED (PB 2024) Paperback -

by LEE K.D

Add to wish list
  • New
New

Description

USA Edition . New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Ask the seller a question Add to wish list
A$176.43
A$5.86 Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Ships from XLANCEBOOKS L.L.C. (Wyoming, United States)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO MULTIPROCESSING 2ED (PB 2024)
  • Author LEE K.D
  • Binding Paperback
  • Edition USA Edition
  • Condition New
  • Pages 398
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Bookseller's Inventory # CBS 9783031422089
  • ISBN 9783031422089 / 3031422082
  • Weight 1.72 lbs (0.78 kg)
  • Category Computers - General Information
  • Quantity available 6

About XLANCEBOOKS L.L.C. Wyoming, United States

Biblio member since 2022

USA EDITION, 30 day return guarantee,

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from XLANCEBOOKS L.L.C.

Reader reviews for DATA STRUCTURES AND ALGORITHMS WITH PYTHON WITH AN INTRODUCTION TO MULTIPROCESSING 2ED (PB 2024)

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

This 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 introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.

Topics and features:

  • Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses
  • Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples
  • Presents a primer on Python for those coming from a different language background
  • Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial)
  • Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms
  • Offers downloadable programs and supplementary files at an associated website to help students

Students of computer science will find this clear and concise textbook 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.

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

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

From the rear cover

This 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 introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.

Topics and features:

  • Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses
  • Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples
  • Presents a primer on Python for those coming from a different language background
  • Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial)
  • Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms
  • Offers downloadable programs and supplementary files at an associated website to help students
Students of computer science will find this clear and concise textbook 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.

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

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

About the author

Dr. Kent D. Lee is a Professor Emeritus of Computer Science at Luther College, Decorah, Iowa, USA. He now works for Hewlett Packard Enterprise as an Engineer and Architect on the DragonHPC project within the High Performance Computing division (formerly Cray, Inc.). He is the author of the successful introductory companion textbook from Springer, Python Programming Fundamentals, and the Foundations of Programming Languages - an excellent textbook on compiler and interpreter implementation.

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

Please wait a moment while we load the requested page.

tracking-