Discovering computer science : interdisciplinary problems, principles, and Python programming
Author(s)
Bibliographic Information
Discovering computer science : interdisciplinary problems, principles, and Python programming
（Chapman & Hall/CRC textbooks in computing / Series editor, John Impagliazzo, Andrew McGetterick）
CRC Press, 2021
2nd ed
- : hbk
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Note
"A Chapman & Hall book"
Includes bibliographical references (p. 501-504) and index
Description and Table of Contents
Description
Provides complete update and organization of the previous books, with some material moving online; Includes new problems, projects, and exercises; Includes interactive coding resources to accompany the book, including examples in the text, exercises, projects, and refection questions.
Table of Contents
Preface
Acknowledgments
About the author
How to Solve It
UNDERSTAND THE PROBLEM
DESIGN AN ALGORITHM
WRITE A PROGRAM
LOOK BACK
SUMMARY AND FURTHER DISCOVERY
Visualizing Abstraction
DATA ABSTRACTION
DRAWING FLOWERS AND PLOTTING EARTHQUAKES
FUNCTIONAL ABSTRACTION
PROGRAMMING IN STYLE
A RETURN TO FUNCTIONS
SCOPE AND NAMESPACES
SUMMARY AND FURTHER DISCOVERY
Inside a Computer
COMPUTERS ARE DUMB
EVERYTHING IS BITS
COMPUTER ARITHMETIC
BINARY ARITHMETIC
THE UNIVERSAL MACHINE
Growth and Decay
ACCUMULATORS
DATA VISUALIZATION
CONDITIONAL ITERATION
CONTINUOUS MODELS
NUMERICAL ANALYSIS
SUMMING UP
FURTHER DISCOVERY
PROJECTS
Forks in the Road
RANDOM WALKS
PSEUDORANDOM NUMBER GENERATORS
SIMULATING PROBABILITY DISTRIBUTIONS
BACK TO BOOLEANS
DEFENSIVE PROGRAMMING
GUESS MY NUMBER
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Text, Documents, and DNA
FIRST STEPS
TEXT DOCUMENTS
A CONCORDANCE
WORD FREQUENCY TRENDS
COMPARING TEXTS
TIME COMPLEXITY
COMPUTATIONAL GENOMICS
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Data Analysis
SUMMARY STATISTICS
WRANGLING DATA
TALLYING FREQUENCIES
READING TABULAR DATA
DESIGNING EFFICIENT ALGORITHMS
LINEAR REGRESSION
DATA CLUSTERING
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Flatland
TABULAR DATA
THE GAME OF LIFE
DIGITAL IMAGES
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Self-similarity and Recursion
FRACTALS
RECURSION AND ITERATION
THE MYTHICAL TOWER OF HANOI
RECURSIVE LINEAR SEARCH
DIVIDE AND CONQUER
LINDENMAYER SYSTEMS
9SUMMARY AND FURTHER DISCOVERY
PROJECTS
Organizing Data
BINARY SEARCH
SELECTION SORT
INSERTION SORT
EFFICIENT SORTING
TRACTABLE AND INTRACTABLE ALGORITHMS
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Networks
MODELING WITH GRAPHS
SHORTEST PATHS
IT'S A SMALL WORLD
RANDOM GRAPHS
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Object-oriented Design
SIMULATING AN EPIDEMIC
OPERATORS AND POLYMORPHISM
A FLOCKING SIMULATION
A STACK ADT
A DICTIONARY ADT
SUMMARY AND FURTHER DISCOVERY
PROJECTS
Bibliography
Appendix A Python Library
Appendix B Selected Exercise
Index
by "Nielsen BookData"