How to Think Like a Computer Scientist: C Version

Medientyp: E-Book

Titel: How to Think Like a Computer Scientist : C Version

Enthält: Chapter 1: The way of the program -- 1.1 What is a programming language? -- 1.2 What is a program? -- 1.3 What is debugging? -- 1.4 Formal and natural language -- 1.5 The first program -- 1.6 Glossary -- 1.7 Exercises -- Chapter 2: Variables and types -- 2.1 More output -- 2.2 Values -- 2.3 Variables -- 2.4 Assignment -- 2.5 Outputting variables -- 2.6 Keywords -- 2.7 Operators -- 2.8 Order of operations -- 2.9 Operators for characters -- 2.10 Composition -- 2.11 Glossary -- 2.12 Exercises -- Chapter 3: Function -- 3.1 Floating-point -- 3.2 Constants -- 3.3 Converting from double to int -- 3.4 Math functions -- 3.5 Composition -- 3.6 Adding new functions -- 3.7 Definitions and uses -- 3.8 Programs with multiple functions -- 3.9 Parameters and arguments -- 3.10 Parameters and variables are local -- 3.11 Functions with multiple parameters -- 3.12 Functions with results -- 3.13 Glossary -- 3.14 Exercises -- Chapter 4: Conditionals and recursion -- 4.1 Conditional execution -- 4.2 The modulus operator -- 4.3 Alternative execution -- 4.4 Chained conditionals -- 4.5 Nested conditionals -- 4.6 The return statement -- 4.7 Recursion -- 4.8 Infinite recursion -- 4.9 Stack diagrams for recursive functions -- 4.10 Glossary -- 4.11 Exercises -- Chapter 5: Fruitful functions -- 5.1 Return values -- 5.2 Program development -- 5.3 Composition -- 5.4 Boolean values -- 5.5 Boolean varaiables -- 5.6 Logical operators -- 5.7 Bool functions -- 5.8 Returning from main() -- 5.9 Glossary -- 5.10 Exercises -- Chapter 6: Iteration -- 6.1 Multiple assignment -- 6.2 Iteration -- 6.3 The while statement -- 6.4 Tables -- 6.5 Two-dimensional tables -- 6.6 Encapsulation and generalization -- 6.7 Functions -- 6.8 More encapsulation -- 6.9 Local varaiables -- 6.10 More generalization -- 6.11 Glossary -- 6.12 Exercises -- Chapter 7: Arrays -- 7.1 Increment and decrement operators -- 7.2 Accessing elements -- 7.3 Copying arrays -- 7.4 for loops -- 7.5 Array length -- 7.6 Random numbers -- 7.7 Statistics -- 7.8 Array of random numbers -- 7.9 Passing an array to a function -- 7.10 Counting -- 7.11 Checking the other values -- 7.12 A histogram -- 7.13 A single-pass solution -- 7.14 Random seeds -- 7.15 Glossary -- 7.16 Exercises -- Chapter 8: Strings and things -- 8.1 Containers for strings -- 8.2 String variables -- 8.3 Extracting characters from a string -- 8.4 Length -- 8.5 Traversal -- 8.6 Finding a character in a string -- 8.7 Pointers and Addresses -- 8.8 String concatenation -- 8.9 Assigning new values to string variables -- 8.10 strings are not comparable -- 8.11 Character classification -- 8.12 Getting user input -- 8.13 Glossary -- 8.14 Exercises -- Chapter 9: Structures -- 9.1 Compound values -- 9.2 Point objects -- 9.3 Accessing member variables -- 9.4 Operations on structures -- 9.5 Structures as parameters -- 9.6 Call by value -- 9.7 Call by reference -- 9.8 Rectangles -- 9.9 Structures as return types -- 9.10 Passing other types by reference -- 9.11 Glossary -- 9.12 Exercises

Beteiligte: Downey, Allen B. [VerfasserIn]; Scheffler, Thomas [ÜbersetzerIn]

Körperschaft: Open Textbook Library

Erschienen: [Place of publication not identified]: Green Tea Press, [1999]

Umfang: 1 Online-Ressource

Sprache: Englisch

Schlagwörter: Computer Science Textbooks ; Programming Languages Textbooks

Entstehung:

Anmerkungen: In English

Beschreibung: The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating trade offs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.The single most important skill for a computer scientist is problem-solving. By that I mean the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called "The way of the program."

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