Introduction to Programming in Python: An Interdisciplinary Approach, 1e
Introduction to Programming in Python: An Interdisciplinary Approach emphasizes interesting and important problems, not toy applications. The authors focus on Python's most useful and significant features, rather than aiming for exhaustive coverage that bores novices. All of this book's code has been crafted and tested for compatibility with both Python 2 and Python 3, making it relevant to every programmer and any course, now and for many years to come.
Features:
- A broad-based, applications-based approach: teaches Python through examples from science, mathematics, engineering and commercial computing
- Focuses on what matters most: the most useful and important Python language features
- Teaches through code tested for compatibility with Python 2. x and Python 3. x Includes question-and-answer sections, exercises and creative exercises throughout
Contents:
Chapter 1: Elements of Programming 1
1. 1 Your First Program 2
1. 2 Built-in Types of Data 14
1. 3 Conditionals and Loops 56
1. 4 Arrays 100
1. 5 Input and Output 140
1. 6 Case Study: Random Web Surfer 188
Chapter 2: Functions and Modules 209
2. 1 Defining Functions 210
2. 2 Modules and Clients 248
2. 3 Recursion 290
2. 4 Case Study: Percolation 322
Chapter 3: Object-Oriented Programming 351
3. 1 Using Data Types 352
3. 2 Creating Data Types 402
3. 3 Designing Data Types 450
3. 4 Case Study: N-Body Simulation 496
Chapter 4: Algorithms and Data Structures 511
4. 1 Performance 512
4. 2 Sorting and Searching 556
4. 3 Stacks and Queues 590
4. 4 Symbol Tables 634
4. 5 Case Study: Small-World Phenomenon 684
| Book | |
|---|---|
| Author | Sedgewick |
| Pages | 792 |
| Year | 2016 |
| ISBN | 9789332577435 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 1/e |
| Weight | 939 g |
| Dimensions | 24.4 x 20.3 x 3.7 cm |
| Binding | Paperback |