Explorations in Computing: An Introduction to Computer Science and Python Programming (Chapman & Hall/CRC Textbooks in Computing, nr. 13)

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en Limba Engleză Hardback – 30 Sep 2014
This text helps beginners develop their own Python programs. Experiments with fully completed programs are provided at the beginning of each chapter, allowing instructors to use the text in CS0 courses where students do not learn programming. Programming projects appear later in each chapter. Students are encouraged either to write the code that implements the functions introduced earlier or extend the existing programs. All the projects push students to explore further on their own.
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ISBN-13: 9781466572447
ISBN-10: 1466572442
Pagini: 423
Ilustrații: 152 black & white illustrations, 4 black & white tables
Dimensiuni: 178 x 254 x 30 mm
Greutate: 1.09 kg
Editura: CRC Press
Seria Chapman & Hall/CRC Textbooks in Computing

Public țintă

Undergraduate students in CS0 and CS1 courses; researchers interested in Python programming.


The Limits of Computation
A Laboratory for Computational Experiments
The Ruby Workbench
Introducing Ruby and the RubyLabs environment for computational experiments
Interactive Ruby
The Sieve of Eratosthenes
An algorithm for finding prime numbers
The Sieve Algorithm
The mod Operator
Boolean Values and the delete if Method
Exploring the Algorithm
The sieve Method
A Better Sieve
Experiments with the Sieve
A Journey of a Thousand Miles
Iteration as a strategy for solving computational problems
Searching and Sorting
The Linear Search Algorithm
The Insertion Sort Algorithm
Best Case, Worst Case
Divide and Conquer
A new strategy: breaking large problems into smaller subproblems
Binary Search
Binary Search Experiments
Merge Sort
Merge Sort Experiments
Recursive Methods
When Words Collide
Organizing data for more efficient problem solving
Word Lists
Hash Tables
The mod Function Again
Hash Table Experiments
Bit by Bit
Binary codes and algorithms for text compression and error correction
Binary Codes
Codes for Characters
Parity Bits
Huffman Trees
Huffman Codes
The War of the Words
An introduction to computer architecture and assembly language programming
Hello, MARS
The Temperature on MARS
Self-Referential Code
Now for Something Completely Different
An algorithm for generating random numbers
Pseudorandom Numbers
Numbers on Demand
Games with Random Numbers
Random Shuffles
Tests of Randomness
Ask Dr. Ruby
A program that understands English (or does it?)
Overview of ELIZA
Sentence Patterns
Building Responses from Parts of Sentences
An Algorithm for Having a Conversation
Writing Scripts for ELIZA
ELIZA and the Turing Test
The Music of the Spheres
Computer simulation and the N-body problem
Running around in Circles
The Force of Gravity
Force Vectors
N-Body Simulation of the Solar System
The Traveling Salesman
A genetic algorithm for a computationally demanding problem
Maps and Tours
Exhaustive Search
Random Search
Point Mutations
The Genetic Algorithm
Appendix A: Answers to Selected Exercises
Appendix B: Ruby Reference


This entry-level computer science textbook is intended for use in an introductory course for computer science majors or non-majors desiring an overview of the basic concepts and processes of computer programming. … Each chapter contains illustrations and code examples as well as a tutorial project that walks the student step-by-step through a task-related programming activity. Access to online resources, including a lab manual and links to the latest version of the open source Ruby software, is provided.
SciTech Book News, February 2011

Notă biografică

John S. Conery is a professor in the Department of Computer and Information Science at the University of Oregon. With over 30 years of teaching experience, he has taught courses on high performance computing and scientific computing in addition to introductory computer science courses. A member of the University's Center for Ecology and Evolutionary Biology, Dr. Conery has worked with biologists on a variety of problems related to gene and genome duplication, artificial neural networks, and population modeling. His current research interests are computational biology and bioinformatics.