Beginning Programming with Python For Dummies, 2nd Edition

by John Paul Mueller

at a Glace

Part 1: Getting Started with Python

Talking to Your Computer.

Getting Your Own Copy of Python

Interacting with Python

Writing Your First Application

Working with Anaconda

Part 2: Talking the Talk

Storing and Modifying Information

Managing Information

Making Decisions

Performing Repetitive Tasks

Dealing with Errors

Part 3: Performing Common Tasks

Interacting with Packages

Working with Strings

Managing Lists

Collecting All Sorts of Data

Creating and Using Classes

Part 4: Performing Advanced Tasks

Storing Data in Files

Sending an Email

Part 5: The Part of Tens

Ten Amazing Programming Resources

Ten Ways to Make a Living with Python

Ten Tools That Enhance Your Python Experience

Ten (Plus) Libraries You Need to Know About

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Book Details

Price	4.00 USD
Pages	411 p
File Size	8,815 KB
File Type	PDF format
ISBN	978-1-119-45789-3  978-1-119-45787-9 (ebk)  978-1-119-45790-9 (ebk)
Copyright	2018 by John Wiley & Sons, Inc

Introduction

Python is an example of a language that does everything right within the

domain of things that it’s designed to do. This isn’t just me saying it, either:

Programmers have voted by using Python enough that it’s now the

fifth-ranked language in the world (see https://www.tiobe.com/tiobe-index/ for details). 

The amazing thing about Python is that you really can write an application

on one platform and use it on every other platform that you need to

support. In contrast to other programming languages that promised to provide

platform independence, Python really does make that independence possible. In

this case, the promise is as good as the result you get.

Python emphasizes code readability and a concise syntax that lets you write applications

using fewer lines of code than other programming languages require.

You can also use a coding style that meets your needs, given that Python supports

the functional, imperative, object-oriented, and procedural coding styles (see

Chapter 3 for details). In addition, because of the way Python works, you find it

used in all sorts of fields that are filled with nonprogrammers. Beginning

Programming with Python for Dummies, 2nd Edition is designed to help everyone,

including nonprogrammers, get up and running with Python quickly.

Some people view Python as a scripted language, but it really is so much more.

(Chapter 18 gives you just an inkling of the occupations that rely on Python to

make things work.) However, Python it does lend itself to educational and other

uses for which other programming languages can fall short. In fact, this book uses

Jupypter Notebook for examples, which relies on the highly readable literate programming

paradigm advanced by Stanford computer scientist Donald Knuth (see

Chapter 4 for details). Your examples end up looking like highly readable reports

that almost anyone can understand with ease.

About This Book

Beginning Programming with Python For Dummies, 2nd Edition is all about getting up

and running with Python quickly. You want to learn the language fast so that you

can become productive in using it to perform your real job, which could be anything.

Unlike most books on the topic, this one starts you right at the beginning

by showing you what makes Python different from other languages and how it can

help you perform useful work in a job other than programming. As a result, you

gain an understanding of what you need to do from the start, using hands-on

examples and spending a good deal of time performing actually useful tasks. You

even get help with installing Python on your particular system.

When you have a good installation on whatever platform you’re using, you start

with the basics and work your way up. By the time you finish working through the

examples in this book, you’ll be writing simple programs and performing tasks

such as sending an email using Python. No, you won’t be an expert, but you will

be able to use Python to meet specific needs in the job environment. To make

absorbing the concepts even easier, this book uses the following conventions:

»»Text that you’re meant to type just as it appears in the book is bold. The

exception is when you’re working through a step list: Because each step is

bold, the text to type is not bold.

»»When you see words in italics as part of a typing sequence, you need to replace

that value with something that works for you. For example, if you see “Type Your

Name and press Enter,” you need to replace Your Name with your actual name.

»»Web addresses and programming code appear in monofont. If you’re reading

a digital version of this book on a device connected to the Internet, note that

you can click the web address to visit that website, like this: www.dummies.com.

»»When you need to type command sequences, you see them separated by a

special arrow, like this: File ➪ New File. In this case, you go to the File menu

first and then select the New File entry on that menu. The result is that you

see a new file created.

Table of Contents

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

Bookscreen

Beyond the Book

This book isn’t the end of your Python programming experience — it’s really just

the beginning. I provide online content to make this book more flexible and better

able to meet your needs. That way, as I receive email from you, I can do things like

address questions and tell you how updates to either Python or its associated

libraries affect book content. In fact, you gain access to all these cool additions:

»»Cheat sheet: You remember using crib notes in school to make a better mark

on a test, don’t you? You do? Well, a cheat sheet is sort of like that. It provides

you with some special notes about tasks that you can do with Python that not

every other developer knows. You can find the cheat sheet for this book by

going to www.dummies.com and searching Beginning Programming For

Dummies, 2nd Edition Cheat Sheet. It contains really neat information like the

top ten mistakes developers make when working with Python and some of

the Python syntax that gives most developers problems.

»»Updates: Sometimes changes happen. For example, I might not have seen

an upcoming change when I looked into my crystal ball during the writing of

this book. In the past, that simply meant the book would become outdated

and less useful, but you can now find updates to the book at by going to

www.dummies.com and searching this book’s title.

In addition to these updates, check out the blog posts with answers to reader

questions and demonstrations of 

useful book-related techniques at http://blog.johnmuellerbooks.com/.

»»Companion files: Hey! Who really wants to type all the code in the book? Most

readers would prefer to spend their time actually working through coding

examples, rather than typing. Fortunately for you, the source code is available for

download, so all you need to do is read the book to learn Python coding techniques.

Each of the book examples even tells you precisely which example project

to use. You can find these files at going to www.dummies.com and searching this

book’s title. On the page that appears, scroll down to the graphic of the book’s

cover and click it; then click More About This Book. 

Click the Downloads tab on the page that appears.