Algorithmic thinking : a problem-based introduction
(Book)

Book Cover
Average Rating
Published
San Francisco : No Starch Press, [2021].
Physical Desc
373 pages : illustrations ; 24 cm
Status
PCPLS - Kouts Public Library - Adult Nonfiction
005.13 ZINGA
1 available
PCPLS - Valparaiso Public Library - Adult Nonfiction
005.13 ZINGA
1 available

Description

Loading Description...

Copies

LocationCall NumberStatus
PCPLS - Kouts Public Library - Adult Nonfiction005.13 ZINGAOn Shelf
PCPLS - Valparaiso Public Library - Adult Nonfiction005.13 ZINGAOn Shelf

Also in this Series

Checking series information...

More Like This

Loading more titles like this title...

More Details

Published
San Francisco : No Starch Press, [2021].
Format
Book
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Description
"An introduction to solving problems with algorithms and data structures, using competitive programming examples. Topics covered include recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data"--,Provided by publisher.

Reviews from GoodReads

Loading GoodReads Reviews.

Citations

APA Citation, 7th Edition (style guide)

Zingaro, D. (2021). Algorithmic thinking: a problem-based introduction . No Starch Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Zingaro, Daniel. 2021. Algorithmic Thinking: A Problem-based Introduction. No Starch Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Zingaro, Daniel. Algorithmic Thinking: A Problem-based Introduction No Starch Press, 2021.

MLA Citation, 9th Edition (style guide)

Zingaro, Daniel. Algorithmic Thinking: A Problem-based Introduction No Starch Press, 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

Staff View

Loading Staff View.