How to Think Like a Computer Scientist - Learning with Python, 2008a

More documents

Recommendations

Info

Contents Foreword v Preface vii Contributor List xiii 1 The way of the program 1 1.1 The Python programming language . . . . . . . . . . . . . . . . . 1 1.2 What is a program? . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 What is debugging? . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.4 Formal and natural languages . . . . . . . . . . . . . . . . . . . . 6 1.5 The first program . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.6 Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2 Variables, expressions and statements 11 2.1 Values and types . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2 Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.3 Variable names and keywords . . . . . . . . . . . . . . . . . . . . 13 2.4 Statements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.5 Evaluating expressions . . . . . . . . . . . . . . . . . . . . . . . . 16 2.6 Operators and operands . . . . . . . . . . . . . . . . . . . . . . . 17
xx Contents 2.7 Order of operations . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.8 Operations on strings . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.9 Composition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.10 Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.11 Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3 Functions 23 3.1 Function calls . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.2 Type conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 3.3 Type coercion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 3.4 Math functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.5 Composition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 3.6 Adding new functions . . . . . . . . . . . . . . . . . . . . . . . . 26 3.7 Definitions and use . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3.8 Flow of execution . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3.9 Parameters and arguments . . . . . . . . . . . . . . . . . . . . . . 30 3.10 Variables and parameters are local . . . . . . . . . . . . . . . . . 31 3.11 Stack diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 3.12 Functions with results . . . . . . . . . . . . . . . . . . . . . . . . 33 3.13 Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4 Conditionals and recursion 37 4.1 The modulus operator . . . . . . . . . . . . . . . . . . . . . . . . 37 4.2 Boolean expressions . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 Logical operators . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.4 Conditional execution . . . . . . . . . . . . . . . . . . . . . . . . 39 4.5 Alternative execution . . . . . . . . . . . . . . . . . . . . . . . . . 39 4.6 Chained conditionals . . . . . . . . . . . . . . . . . . . . . . . . . 40
Page 2 and 3: How to Think Like a Computer Scient
Page 4 and 5: How to Think Like a Computer Scient
Page 6 and 7: Foreword By David Beazley As an edu
Page 8 and 9: Preface By Jeff Elkner This book ow
Page 10 and 11: make instant changes whenever someo
Page 12 and 13: call (type) out its name.” Parame
Page 14 and 15: Contributor List To paraphrase the
Page 16 and 17: • Paul Sleigh found an error in C
Page 18 and 19: xvii • Roger Sperberg pointed out
Page 22 and 23: Contents xxi 4.7 Nested conditional
Page 24 and 25: Contents xxiii 8.15 Matrices . . .
Page 26 and 27: Contents xxv 14.4 A more complicate
Page 28 and 29: Contents xxvii 19.4 Improved Linked
Page 30 and 31: Chapter 1 The way of the program Th
Page 32 and 33: 1.2 What is a program? 3 $ python P
Page 34 and 35: 1.3 What is debugging? 5 1.3.2 Runt
Page 36 and 37: 1.4 Formal and natural languages 7
Page 38 and 39: 1.6 Glossary 9 source code: A progr
Page 40 and 41: Chapter 2 Variables, expressions an
Page 42 and 43: 2.3 Variable names and keywords 13
Page 44 and 45: 2.4 Statements 15 >>> 76trombones =
Page 46 and 47: 2.6 Operators and operands 17 2.6 O
Page 48 and 49: 2.9 Composition 19 On one hand, thi
Page 50 and 51: 2.11 Glossary 21 state diagram: A g
Page 52 and 53: Chapter 3 Functions 3.1 Function ca
Page 54 and 55: 3.4 Math functions 25 >>> minute =
Page 56 and 57: 3.6 Adding new functions 27 problem
Page 58 and 59: 3.7 Definitions and use 29 3.7 Defi
Page 60 and 61: 3.10 Variables and parameters are l
Page 62 and 63: 3.12 Functions with results 33 The
Page 64 and 65: 3.13 Glossary 35 local variable: A
Page 66 and 67: Chapter 4 Conditionals and recursio
Page 68 and 69: 4.4 Conditional execution 39 In gen
Page 70 and 71:
4.7 Nested conditionals 41 Each con
Page 72 and 73:
4.9 Recursion 43 countdown expects
Page 74 and 75:
4.11 Infinite recursion 45 4.11 Inf
Page 76 and 77:
4.13 Glossary 47 block: A group of
Page 78 and 79:
Chapter 5 Fruitful functions 5.1 Re
Page 80 and 81:
5.2 Program development 51 avoid lo
Page 82 and 83:
5.3 Composition 53 3. Once the prog
Page 84 and 85:
5.5 More recursion 55 But the extra
Page 86 and 87:
5.6 Leap of faith 57 __main__ facto
Page 88 and 89:
5.8 Checking types 59 >>> factorial
Page 90 and 91:
Chapter 6 Iteration 6.1 Multiple as
Page 92 and 93:
6.2 The while statement 63 1. Evalu
Page 94 and 95:
6.3 Tables 65 1.0 0.0 2.0 0.6931471
Page 96 and 97:
6.5 Encapsulation and generalizatio
Page 98 and 99:
6.7 Local variables 69 6.7 Local va
Page 100 and 101:
6.9 Functions 71 the function is ca
Page 102 and 103:
Chapter 7 Strings 7.1 A compound da
Page 104 and 105:
7.3 Traversal and the for loop 75 T
Page 106 and 107:
7.6 Strings are immutable 77 Other
Page 108 and 109:
7.9 The string module 79 As an exer
Page 110 and 111:
7.11 Glossary 81 There are other us
Page 112 and 113:
Chapter 8 Lists A list is an ordere
Page 114 and 115:
8.3 List length 85 If you try to re
Page 116 and 117:
8.6 List operations 87 for VARIABLE
Page 118 and 119:
8.9 List deletion 89 >>> list = [
Page 120 and 121:
8.10 Objects and values 91 8.10 Obj
Page 122 and 123:
8.13 List parameters 93 >>> b[0] =
Page 124 and 125:
8.16 Strings and lists 95 might be
Page 126 and 127:
Chapter 9 Tuples 9.1 Mutability and
Page 128 and 129:
9.3 Tuples as return values 99 9.3
Page 130 and 131:
9.6 Counting 101 >>> randomList(8)
Page 132 and 133:
9.7 Many buckets 103 bucketWidth =
Page 134 and 135:
9.9 Glossary 105 9.9 Glossary Assig
Page 136 and 137:
Chapter 10 Dictionaries The compoun
Page 138 and 139:
10.2 Dictionary methods 109 10.2 Di
Page 140 and 141:
10.5 Hints 111 An alternative is to
Page 142 and 143:
10.6 Long integers 113 Using this v
Page 144 and 145:
10.8 Glossary 115 overflow: A numer
Page 146 and 147:
Chapter 11 Files and exceptions Whi
Page 148 and 149:
11.1 Text files 119 The following f
Page 150 and 151:
11.2 Writing variables 121 the str
Page 152 and 153:
11.3 Directories 123 11.3 Directori
Page 154 and 155:
11.5 Exceptions 125 Or trying to op
Page 156 and 157:
11.6 Glossary 127 format sequence:
Page 158 and 159:
Chapter 12 Classes and objects 12.1
Page 160 and 161:
12.3 Instances as arguments 131 con
Page 162 and 163:
12.5 Rectangles 133 >>> p1 = Point(
Page 164 and 165:
12.8 Copying 135 The variables dwid
Page 166 and 167:
12.9 Glossary 137 12.9 Glossary cla
Page 168 and 169:
Chapter 13 Classes and functions 13
Page 170 and 171:
13.3 Modifiers 141 The output of th
Page 172 and 173:
13.5 Prototype development versus p
Page 174 and 175:
13.8 Glossary 145 Similarly, the te
Page 176 and 177:
Chapter 14 Classes and methods 14.1
Page 178 and 179:
14.3 Another example 149 class Time
Page 180 and 181:
14.5 Optional arguments 151 if done
Page 182 and 183:
14.7 Points revisited 153 >>> curre
Page 184 and 185:
14.9 Polymorphism 155 def __mul__(s
Page 186 and 187:
14.10 Glossary 157 Of course, we in
Page 188 and 189:
Chapter 15 Sets of objects 15.1 Com
Page 190 and 191:
15.3 Class attributes and the str m
Page 192 and 193:
15.5 Decks 163 def __cmp__(self, ot
Page 194 and 195:
15.7 Shuffling the deck 165 >>> dec
Page 196 and 197:
15.9 Glossary 167 class Deck: ... d
Page 198 and 199:
Chapter 16 Inheritance 16.1 Inherit
Page 200 and 201:
16.3 Dealing cards 171 16.3 Dealing
Page 202 and 203:
16.6 OldMaidHand class 173 class Ca
Page 204 and 205:
16.7 OldMaidGame class 175 Hand fra
Page 206 and 207:
16.7 OldMaidGame class 177 class Ol
Page 208 and 209:
16.8 Glossary 179 Hand Allen picked
Page 210 and 211:
Chapter 17 Linked lists 17.1 Embedd
Page 212 and 213:
17.3 Lists as collections 183 node1
Page 214 and 215:
17.5 Infinite lists 185 We invoke t
Page 216 and 217:
17.8 Wrappers and helpers 187 def r
Page 218 and 219:
17.10 Invariants 189 tail = self.ne
Page 220 and 221:
Chapter 18 Stacks 18.1 Abstract dat
Page 222 and 223:
18.4 Pushing and popping 193 def po
Page 224 and 225:
18.7 Evaluating postfix 195 Python
Page 226 and 227:
18.9 Glossary 197 18.9 Glossary abs
Page 228 and 229:
Chapter 19 Queues This chapter pres
Page 230 and 231:
19.3 Performance characteristics 20
Page 232 and 233:
19.5 Priority queue 203 and it is m
Page 234 and 235:
19.6 The Golfer class 205 19.6 The
Page 236 and 237:
Chapter 20 Trees Like linked lists,
Page 238 and 239:
20.2 Traversing trees 209 20.2 Trav
Page 240 and 241:
20.4 Tree traversal 211 def printTr
Page 242 and 243:
20.5 Building an expression tree 21
Page 244 and 245:
20.5 Building an expression tree 21
Page 246 and 247:
20.7 The animal tree 217 Are you th
Page 248 and 249:
20.8 Glossary 219 def yes(ques): fr
Page 250 and 251:
Appendix A Debugging Different kind
Page 252 and 253:
A.2 Runtime errors 223 A.1.1 I can
Page 254 and 255:
A.2 Runtime errors 225 If there is
Page 256 and 257:
A.3 Semantic errors 227 A.3 Semanti
Page 258 and 259:
A.3 Semantic errors 229 return self
Page 260 and 261:
Appendix B Creating a new data type
Page 262 and 263:
B.1 Fraction multiplication 233 >>>
Page 264 and 265:
B.4 Comparing fractions 235 This re
Page 266 and 267:
B.6 Glossary 237 reduce: To change
Page 268 and 269:
Appendix C Recommendations for furt
Page 270 and 271:
C.2 Recommended general computer sc
Page 272 and 273:
Index Make Way for Ducklings, 75 Py
Page 274 and 275:
Index 245 element, 83, 96 embedded
Page 276 and 277:
Index 247 well-formed, 189 list del
Page 278 and 279:
Index 249 redundancy, 7 reference,
show all

How to Think Like a Computer Scientist - Learning with Python, 2008a

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?