Data Structures and Algorithms With Python by Kent D. Lee, Steve Hubbard
By Kent D. Lee, Steve Hubbard
This textbook explains the innovations and strategies required to put in writing courses which can deal with quite a lot of information successfully. Project-oriented and classroom-tested, the ebook offers a couple of vital algorithms supported through examples that convey desiring to the issues confronted via machine programmers. the assumption of computational complexity can be brought, demonstrating what can and can't be computed successfully in order that the programmer could make knowledgeable decisions concerning the algorithms they use. positive aspects: comprises either introductory and complex information buildings and algorithms subject matters, with advised bankruptcy sequences for these respective classes supplied within the preface; offers studying objectives, evaluation questions and programming routines in every one bankruptcy, in addition to a variety of illustrative examples; bargains downloadable courses and supplementary documents at an linked web site, with teacher fabrics on hand from the writer; provides a primer on Python for these from a distinct language background.
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This essentially dependent and straightforward to learn textbook explains the recommendations and strategies required to put in writing courses which could deal with quite a lot of information efficiently.
Project-oriented and classroom-tested, the ebook provides a few very important algorithms supported by way of motivating examples that convey aspiring to the issues confronted via laptop programmers. the assumption of computational complexity is usually 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 easy event in computing device programming and familiarity in an object-oriented language, yet no longer inevitably with Python.
Topics and features:
Includes either introductory and complicated information constructions and algorithms themes, with steered bankruptcy sequences for these respective classes supplied within the preface
Provides studying objectives, overview questions and programming routines in every one bankruptcy, in addition to a number of illustrative examples
Offers downloadable courses and supplementary documents at an linked site, with teacher fabrics on hand from the author
Presents a primer on Python for these coming from a distinct language background
Reviews using hashing in units and maps, in addition to an exam of binary seek bushes and tree traversals, and fabric on intensity first seek of graphs
Discusses subject matters compatible for a sophisticated path, resembling club constructions, tons, balanced binary seek timber, B-trees and heuristic search
Students of machine technological know-how will locate this transparent and concise textbook to be worthy for undergraduate classes on info buildings and algorithms, at either introductory and complicated degrees. The e-book can be compatible as a refresher advisor for laptop programmers beginning new jobs operating with Python.
About the Author
Dr. Kent D. Lee is Professor of laptop technological know-how at Luther university, Decorah, Iowa, united states. he's the writer of the profitable Springer textbook Python Programming basics and the drawing close Foundations of Programming Languages.
Dr. Steve Hubbard is Professor of arithmetic and desktop technology at Luther collage.
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Additional resources for Data Structures and Algorithms With Python
And finally you should know how to read and write XML files in your programs. There is a lot of example code in this chapter and the final version of the Draw program is provided on the text’s website or in Sect. 1. While it is doubtful you will be able to memorize each line of the code you found in this chapter, you should make sure you know how things work when you look at it and you should remember that you can use this chapter as a resource. Come back to it often when you need to see how to do something in later chapters.
The title is set as below. title("Draw") 18 19 20 21 22 # Here is how to create a menu bar. The tearoff=0 means that menus # can’t be separated from the window which is a feature of tkinter. Menu(bar,tearoff=0) 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 # This code is called by the "New" menu item below when it is selected. # The same applies for loadFile, addToFile, and saveFile below. The # "Exit" menu item below calls quit on the "master" or root window. def newWindow(): # This sets up the turtle to be ready for a new picture to be # drawn.
14 Implementing a GUI with Tkinter 27 In addition to the event handlers for the widgets, there are three other event handlers. 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.