Fundamentals of Python: Data - Paperback, by Lambert Kenneth - Very Good

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Book Title
Fundamentals of Python: Data Structures (MindTap Course List)
ISBN
9780357122754
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Cengage Learning
ISBN-10
0357122755
ISBN-13
9780357122754
eBay Product ID (ePID)
12038248232

Product Key Features

Number of Pages
448 Pages
Language
English
Publication Name
Fundamentals of Python : Data Structures
Publication Year
2018
Subject
Programming / General, Computer Science, Programming / Object Oriented, Programming Languages / Python
Features
Revised
Type
Textbook
Subject Area
Computers
Author
Kenneth Lambert
Series
Mindtap Course List Ser.
Format
Trade Paperback

Dimensions

Item Height
9 in
Item Weight
24.9 Oz
Item Length
0.6 in
Item Width
7.4 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2018-956860
Dewey Edition
23
Reviews
The code segments are nicely written and commented, and the explanations are clear and simple. Excellent explanation of big-O, particularly O(n log n) for quicksort. Introduces the idea of an interface, with a simple but very suitable data structure, a bag. Walks through the creation of the interface, and then two implementations of it. This is a great way to emphasize the difference between interface and implementation, and to build on the previous chapter and explore how implementation affects running time. Very readable, the chapter provides clear, step-by-step tour of the topics., Coding examples are great with the explanations. Good exercises that are within the chapter. A good check on understanding the information.The exercises and programming projects are well thought out.
Illustrated
Yes
Dewey Decimal
005.13/3
Edition Description
Revised edition
Table Of Content
1. Basic Python Programming.2. An Overview of Collections.3. Searching, Sorting, and Complexity Analysis.4. Arrays and Linked Structures.5. Interfaces, Implementations, and Polymorphism.6. Inheritance and Abstract Classes.7. Stacks.8. Queues.9. Lists.10. Trees.11. Sets and Dictionaries.12. Graphs.
Synopsis
Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON(TM) DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python(TM) programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java(TM), C++ or Python(TM). Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also addresses the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations. You learn to work with collections, including sets, lists, stacks, queues, trees, dictionaries and graphs. Prepare for success with FUNDAMENTALS OF PYTHON(TM) DATA STRUCTURES, 2E., Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON(tm): DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python(tm) programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java(tm), C++ or Python(tm). Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also addresses the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations. You learn to work with collections, including sets, lists, stacks, queues, trees, dictionaries and graphs. Prepare for success with FUNDAMENTALS OF PYTHON(tm): DATA STRUCTURES, 2E.
LC Classification Number
QA76.73.P98

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