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Data structures and algorithms with Python. / Kent D Lee; Steve Hubbard
New York : Springer, 2015
369 pages : illustrations
Ký hiệu phân loại (DDC): 005.73
This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced
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Foundations of programming languages / Kent D Lee
Switzerland : Springer, 2017
382 pages. : illustrations
Ký hiệu phân loại (DDC): 005.13
This clearly written textbook provides an accessible introduction to the three programming paradigms of object-oriented/imperative, functional, and logic programming. Highly interactive in style, the text encourages learning through practice, offering test exercises for each topic covered. Review questions and programming projects are also presented, to help reinforce the concepts outside of the classroom. This updated and revised new edition features new material on the Java implementation of the JCoCo virtual machine. Topics and features: Includes review questions and solved practice exercises, with supplementary code and support files available from an associated website Presents an historical perspective on the models of computation used in implementing the programming languages used today Provides the foundations for understanding how the syntax of a language is formally defined by a grammar Illustrates how programs execute at the level of assembly language, through the implementation of a stack-based Python virtual machine called JCoCo and a Python disassembler Introduces object-oriented languages through examples in Java, functional programming with Standard ML, and programming using the logic language Prolog Describes a case study involving the development of a compiler for the high level functional language Small, a robust subset of Standard ML Undergraduate students of computer science will find this engaging textbook to be an invaluable guide to the skills and tools needed to become a better programmer. While the text assumes some background in an imperative language, and prior coverage of the basics of data structures, the hands-on approach and easy to follow writing style will enable the reader to quickly grasp the essentials of programming languages, frameworks, and architectures. Dr. Kent D. Lee is Professor of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer textbooks Python Programming Fundamentals and Data Structures and Algorithms with Python
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Python programming fundamentals / Kent D. Lee
New York, NY : Springer Berlin Heidelberg, 2014
241 pages. : illustrations
Ký hiệu phân loại (DDC): 005.133
This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. This revised and updated new edition will teach students how to recognize and apply abstract patterns in programming through the extensive use of illustrative examples and practical exercises. The book also demonstrates the benefit of
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