Sold Out
Book Categories |
1 Introduction 1
1.1 Programs and Programming 3
1.2 A Few Definitions 4
1.3 What to Install 4
1.4 For Instructors 5
1.5 Summary 6
2 Hello, Python 7
2.1 The Big Picture 7
2.2 Expressions 9
2.3 What Is a Type? 12
2.4 Variables and the Assignment Statement 15
2.5 When Things Go Wrong 19
2.6 Function Basics 20
2.7 Built-in Functions 23
2.8 Style Notes 24
2.9 Summary 25
2.10 Exercises 26
3 Strings 29
3.1 Strings 29
3.2 Escape Characters 32
3.3 Multiline Strings 33
3.4 Print 34
3.5 Formatted Printing 35
3.6 User Input 36
3.7 Summary 37
3.8 Exercises 38
4 Modules 41
4.1 Importing Modules 41
4.2 Defining Your Own Modules 45
4.3 Objects and Methods 51
4.4 Pixels and Colors 59
4.5 Testing 61
4.6 Style Notes 67
4.7 Summary 68
4.8 Exercises 69
5 Lists 73
5.1 Lists and Indices 73
5.2 Modifying Lists 77
5.3 Built-in Functions on Lists 79
5.4 Processing List Items 81
5.5 Slicing 84
5.6 Aliasing 86
5.7 List Methods 87
5.8 Nested Lists 89
5.9 Other Kinds of Sequences 91
5.10 Files as Lists 92
5.11 Comments 95
5.12 Summary 97
5.13 Exercises 97
6 Making Choices 101
6.1 Boolean Logic 101
6.2 if Statements 111
6.3 Storing Conditionals 118
6.4 Summary 119
6.5 Exercises 120
7 Repetition 125
7.1 Counted Loops 125
7.2 while Loops 134
7.3 User Input Loops 142
7.4 Controlling Loops 143
7.5 Style Notes 147
7.6 Summary 148
7.7 Exercises 149
8 File Processing 153
8.1 One Record per Line 154
8.2 Records with Multiple Fields 164
8.3 Positional Data 167
8.4 Multiline Records 170
8.5 Looking Ahead 172
8.6 Writing to Files 174
8.7 Summary 176
8.8 Exercises 176
9 Sets andDictionaries 179
9.1 Sets 179
9.2 Dictionaries 184
9.3 Inverting a Dictionary 191
9.4 Summary 192
9.5 Exercises 193
10 Algorithms 197
10.1 Searching 198
10.2 Timing 205
10.3 Summary 205
10.4 Exercises 206
11 Searching and Sorting 209
11.1 Linear Search 209
11.2 Binary Search 213
11.3 Sorting 217
11.4 More Efficient Sorting Algorithms 223
11.5 Mergesort: An Nlog2N Algorithm 224
11.6 Summary 228
11.7 Exercises 229
12 Construction 233
12.1 More on Functions 233
12.2 Exceptions 238
12.3 Testing 245
12.4 Debugging 250
12.5 Patterns 252
12.6 Summary 256
12.7 Exercises 257
13 Object-Oriented Programming 267
13.1 Class Color 268
13.2 Special Methods 273
13.3 More About dir and help 275
13.4 A Little Bit of OO Theory 277
13.5 A Longer Example 285
13.6 Summary 290
13.7 Exercises 290
14 Graphical User Interfaces 291
14.1 The Tkinter Module 292
14.2 Basic GUI Construction 293
14.3 Models, Views, and Controllers 298
14.4 Style 304
14.5 A Few More Widgets 309
14.6 Object-Oriented GUIs 313
14.7 Summary 314
14.8 Exercises 315
15 Databases 319
15.1 The Big Picture 319
15.2 First Steps 321
15.3 Retrieving Data 325
15.4 Updating and Deleting 328
15.5 Transactions 329
15.6 Using NULL for Missing Data 331
15.7 Using Joins to Combine Tables 332
15.8 Keys and Constraints 337
15.9 Advanced Features 339
15.10 Summary 344
15.11 Exercises 345
A Bibliography 349
Index 351
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish ListX
This item is in your CollectionPractical Programming: An Introduction to Computer Science Using Python
X
This Item is in Your InventoryPractical Programming: An Introduction to Computer Science Using Python
X
You must be logged in to review the productsX
X
X
Add Practical Programming: An Introduction to Computer Science Using Python, Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, th, Practical Programming: An Introduction to Computer Science Using Python to the inventory that you are selling on WonderClubX
X
Add Practical Programming: An Introduction to Computer Science Using Python, Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, th, Practical Programming: An Introduction to Computer Science Using Python to your collection on WonderClub |