Download Data Structures and Algorithms With Python by Kent D. Lee, Steve Hubbard PDF

By Kent D. Lee, Steve Hubbard

This textbook explains the options and strategies required to jot down courses that could deal with quite a lot of facts successfully. Project-oriented and classroom-tested, the booklet provides a couple of vital algorithms supported by means of examples that carry intending to the issues confronted by means of laptop programmers. the belief of computational complexity is additionally brought, demonstrating what can and can't be computed successfully in order that the programmer could make educated decisions concerning the algorithms they use. positive factors: contains either introductory and complicated facts constructions and algorithms issues, with instructed bankruptcy sequences for these respective classes supplied within the preface; offers studying targets, overview questions and programming workouts in every one bankruptcy, in addition to quite a few illustrative examples; bargains downloadable courses and supplementary documents at an linked site, with teacher fabrics on hand from the writer; provides a primer on Python for these from a distinct language background.

From the again Cover

This sincerely established and simple to learn textbook explains the ideas and methods required to jot down courses which may deal with quite a lot of facts efficiently.

Project-oriented and classroom-tested, the booklet provides a couple of vital algorithms supported via motivating examples that deliver desiring to the issues confronted by means of laptop programmers. the assumption of computational complexity is additionally brought, demonstrating what can and can't be computed successfully in order that the programmer could make proficient decisions concerning the algorithms they use. The textual content assumes a few simple event in desktop programming and familiarity in an object-oriented language, yet now not inevitably with Python.

Topics and features:

Includes either introductory and complex facts constructions and algorithms issues, with steered bankruptcy sequences for these respective classes supplied within the preface
Provides studying ambitions, overview questions and programming workouts in every one bankruptcy, in addition to a number of illustrative examples
Offers downloadable courses and supplementary records at an linked site, with teacher fabrics to be had from the author
Presents a primer on Python for these coming from a unique language background
Reviews using hashing in units and maps, besides an exam of binary seek bushes and tree traversals, and fabric on intensity first seek of graphs
Discusses subject matters appropriate for a complicated direction, resembling club buildings, lots, balanced binary seek timber, B-trees and heuristic search
Students of desktop technology will locate this transparent and concise textbook to be important for undergraduate classes on facts buildings and algorithms, at either introductory and complicated degrees. The e-book is usually appropriate as a refresher advisor for computing device programmers beginning new jobs operating with Python.

About the Author

Dr. Kent D. Lee is Professor of laptop technology at Luther university, Decorah, Iowa, united states. he's the writer of the winning Springer textbook Python Programming basics and the imminent Foundations of Programming Languages.

Dr. Steve Hubbard is Professor of arithmetic and desktop technological know-how at Luther collage.

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The word contiguous means that the memory locations of a list are grouped together consecutively in RAM. If we want to verify that the RAM of a computer behaves like a group of people all remembering their names and their values, we can run some tests with Python lists of different sizes to find the average time to retrieve from or store a value into a random element of the list. To test the behavior of Python lists we can write a program that randomly stores and retrieves values in a list. We can test two different theories in this program.

Lee and S. 1007/978-3-319-13072-9_2 41 42 2 Computational Complexity • What is the definition of Theta notation? • What is amortized complexity and what is its importance? • How can we apply what we learned to make the PyList container class better? e. e. I/O) devices like a keyboard, mouse, display, and network interface. When you run a program it is first read from a storage device like a hard drive into the Random Access Memory, or RAM, of the computer. RAM loses its contents when the power is shut off, so copies of programs are only stored in RAM while they are running.

The onclick event occurs when you click the mouse button on the canvas. The ondrag event handler occurs when the turtle is dragged around the canvas. Finally, the undoHandler is called when the u key is pressed on the keyboard. 1 A GUI Drawing Application 1 2 3 4 5 6 7 8 9 10 # This class defines the drawing application. The following line says that # the DrawingApplication class inherits from the Frame class. This means # that a DrawingApplication is like a Frame object except for the code # written here which redefines/extends the behavior of a Frame.

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