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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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Add 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 to the inventory that you are selling on WonderClubX
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Add 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 to your collection on WonderClub |