Think Python - Denison University

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$Math 232 syllabus - Denison University$

$Math 102 syllabus - Personal Pages - Denison University$

xChapter 0. Preface• Patryk Wolowiec helped mewith aproblem intheHTML version.• MarkChonofskytoldme about anew keyword in<strong>Python</strong> 3.0.• RussellColeman helped me withmygeometry.• Wei Huang spottedseveraltypographical errors.• Karen Barber spottedthe theoldest typointhe book.• Nam Nguyen found a typo and pointed out that I used the Decorator pattern but didn’t mention it byname.• Stéphane Morinsentin severalcorrections andsuggestions.• Paul Stoopcorrected a typoinuses_only.• EricBronner pointed outaconfusioninthediscussionof theorder ofoperations.• Alexandros Gezerlis setanewstandardforthenumber andqualityofsuggestionshesubmitted. We aredeeply grateful!• Gray Thomas knows his rightfromhis left.• Giovanni Escobar Sosasentalong listof corrections and suggestions.• Alix Etiennefixed one of theURLs.• Kuang Hefound atypo.• Daniel Neilson corrected an errorabout the order of operations.• Will McGinnis pointed outthatpolylinewas defined differentlyintwo places.• Swarup Sahoo spottedamissingsemi-colon.
ContentsPrefacev1 The way of the program 11.1 The <strong>Python</strong> programming language . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 What isaprogram? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 What isdebugging? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.4 Formal and natural languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 The first program . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 Debugging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.8 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Variables, expressions and statements 92.1 Values and types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.2 Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.3 Variable names and keywords . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 Statements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.5 Operators and operands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.6 Expressions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.7 Order of operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.8 String operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.9 Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.10 Debugging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.11 Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.12 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Page 1: Think PythonHowto Think LikeaComput
Page 4 and 5: Copyright©2008 AllenDowney.Printin
Page 6 and 7: viChapter 0. PrefaceIn 2003 I start
Page 8 and 9: viiiChapter 0. Preface• Keith Ver
Page 12 and 13: xiiContents3 Functions 173.1 Functi
Page 14 and 15: xivContents7 Iteration 637.1 Multip
Page 16 and 17: xviContents12 Tuples 11512.1 Tuples
Page 18 and 19: xviiiContents17 Classes and methods
Page 20 and 21: xxContents
Page 22: 2 Chapter 1. The way of theprogramp
Page 25 and 26: 1.4. Formal and natural languages 5
Page 27 and 28: 1.7. Glossary 7Your job is to be a
Page 29 and 30: Chapter 2Variables,expressions ands
Page 31 and 32: 2.3. Variable names and keywords 11
Page 33 and 34: 2.6. Expressions 132.6 ExpressionsA
Page 35 and 36: 2.10. Debugging 152.10 DebuggingAtt
Page 37 and 38: Chapter 3Functions3.1 Functioncalls
Page 39 and 40: 3.4. Composition 19>>> math.sqrt(2)
Page 41 and 42: 3.7. Flow of execution 21def repeat
Page 43 and 44: 3.10. Stack diagrams 23Thisfunction
Page 45 and 46: 3.12. Why functions? 253.12 Whyfunc
Page 47 and 48: 3.15. Exercises 27Here’s an examp
Page 49 and 50: Chapter 4Case study: interfacedesig
Page 51 and 52: 4.3. Exercises 31The syntax of a fo
Page 53 and 54: 4.6. Interface design 33This draws
Page 55 and 56: 4.8. A development plan 354.8 Adeve
Page 57 and 58: 4.12. Exercises 37Exercise 4.2 Writ
Page 59 and 60: Chapter 5Conditionals and recursion
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5.5. Alternative execution 41if sta
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5.9. Stack diagrams for recursive f
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5.11. Keyboard input 455.11 Keyboar
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5.14. Exercises 47relational operat
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5.14. Exercises 492. Write a functi
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Chapter 6Fruitfulfunctions6.1 Retur
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6.2. Incremental development 53>>>
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6.5. More recursion 55It is common
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6.6. Leap of faith 57__main__factor
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6.9. Debugging 59The first base cas
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6.11. Exercises 61sum = x + y + zpo
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Chapter 7Iteration7.1 Multipleassig
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7.4. break 652. Iftheconditionisfal
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7.6. Algorithms 672.00001024003>>>
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7.9. Exercises 69decrement: An upda
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Chapter 8Strings8.1 Astringis a seq
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8.4. String slices 73Thefollowingex
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8.7. Looping and counting 75This is
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8.10. String comparison 778.10 Stri
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8.12. Glossary 798.12 Glossaryobjec
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Chapter 9Case study: word play9.1 R
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9.3. Search 83Exercise 9.6 Write a
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9.5. Debugging 85Here is a version
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9.7. Exercises 87Write a Python pro
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Chapter 10Lists10.1 Alist isasequen
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10.3. Traversing alist 9110.3 Trave
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10.7. Map, filter and reduce 93List
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10.9. Listsand strings 95>>> t = ['
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10.12. Listarguments 97The statedia
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10.14. Glossary 99word = word.strip
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10.15. Exercises 101Exercise 10.6 W
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Chapter 11DictionariesAdictionaryis
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11.1. Dictionary as asetof counters
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11.4. Dictionaries and lists 107Thi
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11.5. Memos 109corresponding locati
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11.7. Long integers 111count = 0def
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11.10. Exercises 113implementation:
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Chapter 12Tuples12.1 Tuples areimmu
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12.3. Tuples as return values 117>>
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12.6. Dictionaries and tuples 119If
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12.7. Comparing tuples 12112.7 Comp
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12.10. Glossary 123>>> t3 = [1, 2,
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Chapter 13Case study: data structur
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13.3. Word histogram 12713.3 Word h
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13.6. Dictionary subtraction 129num
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13.9. Datastructures 131In this tex
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13.11. Glossary 133reading: Examine
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Chapter 14Files14.1 PersistenceMost
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14.4. Filenames and paths 137>>> '%
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14.6. Databases 139Python starts by
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14.9. Writingmodules 141The argumen
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14.11. Glossary 14314.11 Glossarype
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Chapter 15Classes and objects15.1 U
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15.3. Rectangles 147>>> print '(%g,
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15.6. Copying 149>>> print box.widt
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15.8. Glossary 151>>> hasattr(p, 'x
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Chapter 16Classes and functions16.1
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16.3. Modifiers 155if sum.second >=
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16.5. Debugging 157But if we have t
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Chapter 17Classes and methods17.1 O
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17.3. Another example 161Inside the
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17.6. The str method 163>>> time =
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17.9. Polymorphism 165Unfortunately
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17.12. Exercises 167object-oriented
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Chapter 18InheritanceIn this chapte
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18.3. Comparing cards 171Thefirstel
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18.6. Add, remove, shuffle and sort
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18.8. Classdiagrams 175So when you
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18.10. Glossary 177might get the on
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18.11. Exercises 1796. Print a tabl
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Chapter 19Case study: Tkinter19.1 G
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19.3. Canvas widgets 183Exercise 19
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19.6. Packing widgets 185>>> text.i
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19.6. Packing widgets 187self.bu(te
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19.8. Binding 18919.8 BindingAbindi
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19.9. Debugging 19119.9 DebuggingOn
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19.11. Exercises 193image = PIL.ope
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Appendix ADebuggingDifferentkindsof
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A.2. Runtime errors 197A.2 Runtime
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A.3. Semantic errors 199• You are
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A.3. Semantic errors 201The explici
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Indexabecedarian, 72, 83abs functio
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Index 205experimental, 4superstitio
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Index 207raw input, 45recursive, 43
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Index 209map pattern, 93, 100map to
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Index 211poker, 169, 178polygon fun
Page 233 and 234:
Index 213knowing the answer, 53leap
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Think Python - Denison University

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