Common-sense guide to data structures and algorithms : level up your core programming skills / Jay Wengrow

By:

Jay, Wengrow [author]

Contributor(s):

MacDonald, Jay [editor]

Material type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781680507225 (paperback)

Subject(s):

LOC classification:

QA76.9.D35 WEN

Summary: Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. -- Provided by publisher

Item type:

Books

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	GSU Library Epoch General Stacks		General Collection		QA76.9.D35 WEN (Browse shelf(Opens below))				1	Available			50000006751
	Books	GSU Library Epoch General Stacks		General Collection		QA76.9.D35 WEN (Browse shelf(Opens below))				2	Available			50000006780

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Previous	QA76.9.C643 PAT Computer organization and design : the hardware software interface /	QA76.9.D3 ATK High performance postgreSQL for rails: reliable, scalable, maintainable database applications /	QA76.9.D35 WEN Common-sense guide to data structures and algorithms : level up your core programming skills /	QA76.9.D35 WEN Common-sense guide to data structures and algorithms : level up your core programming skills /	QA184 AND Elementary linear algebra /	QA184 AND Elementary linear algebra /	QA275.P88 HAR A primer on partial least squares structural equation modeling (PLS-SEM) /	Next

Includes bibliographical references and index.

Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that
you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and
using Big O in your daily work. -- Provided by publisher

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