Introduction 1
About This Book 1
Foolish Assumptions 2
Icons Used in This Book 3
Beyond the Book 3
Where to Go from Here 4
Part 1: Getting Started with Python 5
Chapter 1: Talking to Your Computer 7
Understanding Why You Want to Talk to Your Computer 8
Knowing that an Application is a Form of Communication 9
Thinking about procedures you use daily 9
Writing procedures down 10
Seeing applications as being like any other procedure 11
Understanding that computers take things literally 11
Defining What an Application Is 11
Understanding that computers use a special language 12
Helping humans speak to the computer 12
Understanding Why Python Is So Cool 14
Unearthing the reasons for using Python 14
Deciding how you can personally benefit from Python 15
Discovering which organizations use Python 16
Finding useful Python applications 17
Comparing Python to other languages 18
Chapter 2: Getting Your Own Copy of Python 21
Downloading the Version You Need 21
Installing Python 24
Working with Windows 25
Working with the Mac 27
Working with Linux 28
Accessing Python on Your Machine 31
Using Windows 32
Using the Mac 34
Using Linux 35
Testing Your Installation 35
Chapter 3: Interacting with Python 37
Opening the Command Line 38
Starting Python 38
Using the command line to your advantage 39
Using Python environment variables to your advantage 41
Typing a Command 43
Telling the computer what to do 43
Telling the computer you're done 44
Seeing the result 44
Using Help 46
Getting into help mode 46
Asking for help 47
Leaving help mode 49
Obtaining help directly 50
Closing the Command Line 51
Chapter 4: Writing Your First Application 55
Understanding Why IDEs Are Important 56
Creating better code 56
Debugging functionality 56
Defining why notebooks are useful 57
Obtaining Your Copy of Anaconda 58
Obtaining Analytics Anaconda 58
Installing Anaconda on Linux 59
Installing Anaconda on MacOS 60
Installing Anaconda on Windows 61
Downloading the Datasets and Example Code 64
Using Jupyter Notebook 64
Defining the code repository 65
Creating the Application 71
Understanding cells 71
Adding documentation cells 74
Other cell content 75
Understanding the Use of Indentation 75
Adding Comments 77
Understanding comments 78
Using comments to leave yourself reminders 79
Using comments to keep code from executing 80
Closing Jupyter Notebook 80
Chapter 5: Working with Anaconda 83
Downloading Your Code 84
Working with Checkpoints 85
Defining the uses of checkpoints 85
Saving a checkpoint 86
Restoring a checkpoint 86
Manipulating Cells 86
Adding various cell types 87
Splitting and merging cells 87
Moving cells around 88
Running cells 88
Toggling outputs 90
Changing Jupyter Notebook's Appearance 90
Finding commands using the Command Palette 91
Working with line numbers 92
Using the Cell Toolbar features 93
Interacting with the Kernel 94
Obtaining Help 95
Using the Magic Functions 97
Viewing the Running Processes 99
Part 2: Talking the Talk 101
Chapter 6: Storing and Modifying Information 103
Storing Information 104
Seeing variables as storage boxes 104
Using the right box to store the data 104
Defining the Essential Python Data Types 105
Putting information into variables 105
Understanding the numeric types 106
Understanding Boolean values 110
Understanding strings 110
Working with Dates and Times 111
Chapter 7: Managing Information 113
Controlling How Python Views Data 114
Making comparisons 114
Understanding how computers make comparisons 115
Working with Operators 115
Defining the operators 116
Understanding operator precedence 122
Creating and Using Functions 123
Viewing functions as code packages 124
Understanding code reusability 124
Defining a function 125
Accessing functions 126
Sending information to functions 127
Returning information from functions 131
Comparing function output 132
Getting User Input 132
Chapter 8: Making Decisions 135
Making Simple Decisions by Using the if Statement 136
Understanding the if statement 136
Using the if statement in an application 137
Choosing Alternatives by Using the if. . .else Statement 141
Understanding the if. . .else statement 141
Using the if. . .else statement in an application 142
Using the if. . .elif statement in an application 143
Using Nested Decision Statements 146
Using multiple if or if. . .else statements 146
Combining other types of decisions 148
Chapter 9: Performing Repetitive Tasks 151
Processing Data Using the for Statement 152
Understanding the for statement 152
Creating a basic for loop 153
Controlling execution with the break statement 153
Controlling execution with the continue statement 156
Controlling execution with the pass clause 157
Controlling execution with the else statement 158
Processing Data by Using the while Statement 159
Understanding the while statement 160
Using the while statement in an application 161
Nesting Loop Statements 162
Chapter 10: Dealing with Errors 165
Knowing Why Python Doesn't Understand You 166
Considering the Sources of Errors 167
Classifying when errors occur 168
Distinguishing error types 169
Catching Exceptions 171
Basic exception handling 171
Handling more specific to less specific exceptions 183
Nested exception handling 185
Raising Exceptions 189
Raising exceptions during exceptional conditions 189
Passing error information to the caller 190
Creating and Using Custom Exceptions 191
Using the finally Clause 192
Part 3: Performing Common Tasks 195
Chapter 11: Interacting with Packages 197
Creating Code Groupings 198
Understanding the package types 200
Considering the package cache 201
Importing Packages 202
Using the import statement 203
Using the from. . .import statement 205
Finding Packages on Disk 207
Downloading Packages from Other Sources 209
Opening the Anaconda Prompt 210
Working with conda packages 210
Installing packages by using pip 215
Viewing the Package Content 216
Viewing Package Documentation 219
Opening the Pydoc application 219
Using the quick-access links 220
Typing a search term 221
Viewing the results 222
Chapter 12: Working with Strings 225
Understanding That Strings Are Different 226
Defining a character by using numbers 226
Using characters to create strings 227
Creating Stings with Special Characters 229
Selecting Individual Characters 231
Slicing and Dicing Strings 233
Locating a Value in a String 236
Formatting Strings 238
Chapter 13: Managing Lists 243
Organizing Information in an Application 244
Defining organization using lists 244
Understanding how computers view lists 245
Creating Lists 246
Accessing Lists 248
Looping through Lists 249
Modifying Lists 250
Searching Lists 254
Sorting Lists 255
Printing Lists 257
Working with the Counter Object 259
Chapter 14: Collecting All Sorts of Data 261
Understanding Collections 262
Working with Tuples 263
Working with Dictionaries 266
Creating and using a dictionary 267
Replacing the switch statement with a dictionary 270
Creating Stacks Using Lists 273
Working with queues 275
Working with deques 278
Chapter 15: Creating and Using Classes 281
Understanding the Class as a Packaging Method 282
Considering the Parts of a Class 284
Creating the class definition 284
Considering the built-in class attributes 285
Working with methods 286
Working with constructors 288
Working with variables 290
Using methods with variable argument lists 293
Overloading operators 294
Creating a Class 296
Defining the MyClass class 296
Saving a class to disk 297
Using the Class in an Application 298
Extending Classes to Make New Classes 299
Building the child class 299
Testing the class in an application 301
Part 4: Performing Advanced Tasks 303
Chapter 16: Storing Data in Files 305
Understanding How Permanent Storage Works 306
Creating Content for Permanent Storage 308
Creating a File 311
Reading File Content 314
Updating File Content 317
Deleting a File 321
Chapter 17: Sending an Email 323
Understanding What Happens When You Send Email 324
Viewing email as you do a letter 325
Defining the parts of the envelope 326
Defining the parts of the letter 331
Creating the Email Message 335
Working with a text message 335
Working with an HTML message 337
Seeing the Email Output 338
Part 5: The Part of Tens 341
Chapter 18: Ten Amazing Programming Resources 343
Working with the Python Documentation Online 344
Using the LearnPython.org Tutorial 345
Performing Web Programming by Using Python 346
Getting Additional Libraries 346
Creating Applications Faster by Using an IDE 348
Checking Your Syntax with Greater Ease 348
Using XML to Your Advantage 349
Getting Past the Common Python Newbie Errors 350
Understanding Unicode 351
Making Your Python Application Fast 352
Chapter 19: Ten Ways to Make a Living with Python 353
Working in QA 354
Becoming the IT Staff for a Smaller Organization 355
Performing Specialty Scripting for Applications 355
Administering a Network 356
Teaching Programming Skills 357
Helping People Decide on Location 357
Performing Data Mining 358
Interacting with Embedded Systems 358
Carrying Out Scientific Tasks 359
Performing Real-Time Analysis of Data 359
Chapter 20: Ten Tools That Enhance Your Python Experience 361
Tracking Bugs with Roundup Issue Tracker 362
Creating a Virtual Environment by Using VirtualEnv 363
Installing Your Application by Using PyInstaller 364
Building Developer Documentation by Using pdoc 365
Developing Application Code by Using Komodo Edit 366
Debugging Your Application by Using pydbgr 367
Entering an Interactive Environment by Using IPython 368
Testing Python Applications by Using PyUnit 368
Tidying Your Code by Using Isort 369
Providing Version Control by Using Mercurial 370
Chapter 21: Ten (Plus) Libraries You Need to Know About 371
Developing a Secure Environment by Using PyCrypto 372
Interacting with Databases by Using SQLAlchemy 372
Seeing the World by Using Google Maps 373
Adding a Graphical User Interface by Using TkInter 373
Providing a Nice Tabular Data Presentation by Using PrettyTable 374
Enhancing Your Application with Sound by Using PyAudio 374
Manipulating Images by Using PyQtGraph 375
Locating Your Information by Using IRLib 376
Creating an Interoperable Java Environment by Using JPype 377
Accessing Local Network Resources by Using Twisted Matrix 378
Accessing Internet Resources by Using Libraries 378
Index 379
