# [Pdf] Data Structures and Algorithms with Python Lent d lee Best Book

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## Algorithms, 4th Edition

• This Book Includes broad coverage of both introductory and advanced data structures topics, supported by examples.
• Provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples
• Offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author
• Presents a primer on Python for those coming from a different language background

## Index of Data Structures and Algorithms with Python Lent d lee

• Python Programming 101
• 1.1. The Dog Class
• 1.2. The Variable Length Records Draw Program
• 1.3. The Final XML Draw Program
• 1.4. Figures from Text
• Computational Complexity
• 2.1. The PlotData Program
• 2.2. List Access Timing
• 2.3. The PyList Datatype
• 2.4. Figures from Text
• Recursion
• 3.1. Scope
• 3.2. Recursive Spiral
• 3.3. Sunflower Program
• 3.4. Figures from Text
• Sequences
• 4.1. The PyList Datatype
• 4.2. The Sort Animation
• 4.3. Tic Tac Toe
• 4.4. The Linked List Datatype
• 4.5. The Stack Datatype
• 4.6. The Queue Datatype
• 4.7. Figures from Text
• Sets and Maps
• 5.1. The HashSet Datatype
• 5.2. The HashMap Datatype
• 5.3. Sudoku Puzzles
• 5.4. Figures from Text
• Trees
• 6.1. Abstract Syntax Trees
• 6.2. Binary Search Trees
• 6.3. Sudoku Test Files
• 6.4. OrderedTreeSet
• 6.5. OrderedTreeSet Test Program
• 6.6. Figures from Text
• Graphs
• 7.1. Drawing Graphs
• 7.2. Figures from Text
• Membership Structures
• 8.1. An English Dictionary
• 8.2. Figures from Text
• Heaps
• 9.1. Heap Program
• 9.2. Figures from Text
• Balanced Binary Search Trees
• 10.1. AVL Tree Implementations
• 10.1.1. Iteratively Implemented AVL Tree
• 10.1.2. Recursively Implemented AVL Tree
• 10.2. Splay Tree Implementations
• 10.2.1. Iteratively Implemented Splay Tree
• 10.2.2. Recursively Implemented Splay Tree
• 10.3. Figures from Text
• B-Trees
• 11.1. Relational Database Tables
• 11.2. The Inefficient Join Program
• 11.3. B-Tree Implementations
• 11.3.1. Iterative B-Tree
• 11.3.2. Recursive B-Tree
• 11.4. Sample Output from Join
• 11.5. Figures from Text
• Heuristic Search
• 12.1. Searching Mazes
• 12.2. N-Queens Problem
• 12.3. Connect Four
• 12.4. Figures from Text
• Students of computer science will find this clear and concise textbook to be 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.

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