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Object-Oriented Programming in Python Book

Object-Oriented Programming in Python
Object-Oriented Programming in Python, Object-Oriented Programming in PYTHON
Goldwasser
Letscher
Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie, Object-Oriented Programming in Python has a rating of 3.5 stars
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Object-Oriented Programming in Python, Object-Oriented Programming in PYTHON Goldwasser Letscher Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie, Object-Oriented Programming in Python
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  • Object-Oriented Programming in Python
  • Written by author Michael H Goldwasser
  • Published by Prentice Hall, November 2007
  • Object-Oriented Programming in PYTHON Goldwasser Letscher Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie
  • This book presents a balanced and flexible approach to the incorporation of object-oriented principles in introductory courses using Python.Familiarizes readers with the terminology of object-oriented programming, the concept of an object's underly
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Preface vii
I Fundamental Topics 3
1 Cornerstones of Computing 5
1.1 Data and Types 5
1.2 Operations, Functions, and Algorithms 6
1.3 High-Level Programming Languages 10
1.4 The Object-Oriented Paradigm 12
1.5 Design and Modeling 23
1.6 Chapter Review 25
2 Getting Started in Python 31
2.1 The Python Interpreter 31
2.2 Using Objects: the list Class 32
2.3 Other Sequence Classes: str and tuple 49
2.4 Numeric Types: int, long, and float 58
2.5 Type Conversions 60
2.6 Calling Functions 61
2.7 Python Modules 62
2.8 Expressions 64
2.9 Using a File for Source Code 69
2.10 Case Study: Strings and Lists 75
2.11 Chapter Review 76
3 Getting Started with Graphics 89
3.1 The Canvas 90
3.2 Drawable Objects 93
3.3 Rotating, Scaling, and Flipping 103
3.4 Cloning 106
3.5 Case Study: Smiley Face 106
3.6 Layers 108
3.7 Animation 111
3.8 Graphical User Interfaces 113
3.9 Case Study: Flying Arrows 116
3.10 Chapter Review 120
4 Elementary Control Structures 125
4.1 For Loops 125
4.2 Case Study: DNA to RNA Transcription 135
4.3 Case Study: Drawing a Pyramid 136
4.4 Conditional Statements 140
4.5 List Comprehension 148
4.6 Chapter Review 149
5 Additional Control Structures 159
5.1 While Loops 160
5.2 Functions 166
5.3 Avoiding Duplicate Code 172
5.4 Case Study: Computing the Square Root 175
5.5 Error Checking and Exceptions 179
5.6 Case Study: Simulating a Chain under the Force of Gravity 185
5.7 Chapter Review 192
6 Defining Our Own Classes 203
6.1 A Simple Point Class 203
6.2 A Robust Point Class 207
6.3 A Television Class 214
6.4 A Fraction Class 222
6.5 Advanced Lessons 226
6.6 Chapter Review 229
7 Good Software Practices 237
7.1 Overview of Mastermind 237
7.2 Top-Down Design and Bottom-Up Implementation 238
7.3 Our Mastermind Design 239
7.4 Naming Conventions 244
7.5 Formal Documentation: Python Docstrings 246
7.6 Encapsulation of Implementation Details 250
7.7 Modules and Unit Testing 252
7.8 Error Checking 258
7.9 Mastermind: Pulling It Together 260
7.10 Flexibility in Design: Graphical Output 263
7.11 Chapter Review 266
8 Input, Output, and Files 271
8.1 Standard Input and Output 271
8.2 Formatted Strings 273
8.3 Working with Files 275
8.4 Handling Newline Characters 279
8.5 Case Studies 281
8.6 Chapter Review 292
9 Inheritance 299
9.1 Augmentation 300
9.2 Specialization 303
9.3 When Should Inheritance (Not) Be Used 308
9.4 Class Hierarchies and cs1graphics 310
9.5 Multiple Inheritance 318
9.6 Case Study: a Mailbox Class 321
9.7 Chapter Review 326
II Advanced Topics 331
10 Deeper Understanding of the Management of Objects 333
10.1 Understanding Objects and References 334
10.2 Objects that Reference Other Objects 341
10.3 Objects in the Context of a Function 348
10.4 Case Study: Subtleties in the cs1graphics Module 353
10.5 Chapter Review 356
11 Recursion 361
11.1 A Bullseye Class 362
11.2 Our Own List Implementation 368
11.3 Functional Recursion 374
11.4 Binary Search 376
11.5 Case Study: Solving a Puzzle 383
11.6 Chapter Review 388
12 More Python Containers 397
12.1 Two Familiar Containers: list and tuple 399
12.2 Dictionaries 401
12.3 Containers of Containers 406
12.4 Sets 409
12.5 Arrays 414
12.6 Python's Internal Use of Dictionaries 416
12.7 Case Study: a Simple Search Engine 422
12.8 Chapter Review 430
13 Implementing Data Structures 435
13.1 Measuring Efficiency 436
13.2 Python's list Class 438
13.3 Our Own Dictionary Implementation 441
13.4 Binary Search Trees 451
13.5 Chapter Review 461
14 Sorting Algorithms 467
14.1 Customizing Use of Python's Sort 467
14.2 Selection Sort 471
14.3 Insertion Sort 473
14.4 Merge Sort 475
14.5 Quicksort 482
14.6 Which Algorithm Does Python Use? 487
14.7 Chapter Review 488
15 Event-Driven Programming 493
15.1 Basics of Event-Driven Programming 494
15.2 Event Handling in Our Graphics Module 496
15.3 The Event Class 499
15.4 Programming Using Events 505
15.5 Case Study: a Full GUI for Mastermind 512
15.6 Chapter Review 519
16 Network Programming 521
16.1 A Network Primer 521
16.2 Writing a Basic Client 524
16.3 Basic Network Servers 529
16.4 Case Study: Network Chat Room 532
16.5 Peer-to-Peer: Instant Messenger 540
16.6 Server-Side Scripting and CGI 543
16.7 Case Study: Searching the Web 546
16.8 Chapter Review 553
Appendices 559
A Using IDLE 561
A.1 Using the Python Interpreter within IDLE 561
A.2 Working with Files 562
B Python, Java, and C++: a Transition Guide 565
B.1 The Purpose of This Guide 565
B.2 High-Level Programming Languages 566
B.3 A First Glance at Java and C++ 569
B.4 Java Guide 572
B.5 C++ Guide 599
C Solutions to Practice Exercises 625
D Glossary 649
Index 659


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Object-Oriented Programming in Python, Object-Oriented Programming in PYTHON
Goldwasser
Letscher
Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie, Object-Oriented Programming in Python

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Object-Oriented Programming in Python, Object-Oriented Programming in PYTHON
Goldwasser
Letscher
Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie, Object-Oriented Programming in Python

Object-Oriented Programming in Python

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Object-Oriented Programming in Python, Object-Oriented Programming in PYTHON
Goldwasser
Letscher
Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-orie, Object-Oriented Programming in Python

Object-Oriented Programming in Python

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