Python Automation For Dummies

Streamline Your Workflow and Boost Productivity with Python Automation

In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter.

  • Review the basics of Python coding and follow steps for automating all sorts of tasks
  • Manage large file sets, organize and analyze data, and speed up research processes
  • Automate scheduling and other time-consuming tasks—and optimize work with AI
  • Free up time and resources by automating routine work, so you can foucs on more important issues

This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.

1147320363
Python Automation For Dummies

Streamline Your Workflow and Boost Productivity with Python Automation

In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter.

  • Review the basics of Python coding and follow steps for automating all sorts of tasks
  • Manage large file sets, organize and analyze data, and speed up research processes
  • Automate scheduling and other time-consuming tasks—and optimize work with AI
  • Free up time and resources by automating routine work, so you can foucs on more important issues

This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.

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Python Automation For Dummies

Python Automation For Dummies

by Alan Simpson
Python Automation For Dummies

Python Automation For Dummies

by Alan Simpson

eBook

$21.00 

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Overview

Streamline Your Workflow and Boost Productivity with Python Automation

In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter.

  • Review the basics of Python coding and follow steps for automating all sorts of tasks
  • Manage large file sets, organize and analyze data, and speed up research processes
  • Automate scheduling and other time-consuming tasks—and optimize work with AI
  • Free up time and resources by automating routine work, so you can foucs on more important issues

This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.


Product Details

ISBN-13: 9781394371433
Publisher: Wiley
Publication date: 10/31/2025
Sold by: JOHN WILEY & SONS
Format: eBook
Pages: 368
File size: 4 MB

About the Author

Alan Simpson is a veteran technology writer and educator with extensive experience covering topics from programming languages to the Windows operating system. He’s the author of Windows 11 For Dummies, 2nd Edition, and a co-author of Python All-in-One For Dummies.

Table of Contents

Introduction 1

About This Book 1

Foolish Assumptions 2

Icons Used in This Book 2

Beyond the Book 2

Where to Go from Here 3

Part 1: Getting Started with Python Automation 5

Chapter 1: Automating with Python 7

Choosing a Programming Language 8

Understanding Python Syntax 10

Getting Python 11

Identifying the hardware requirements 11

Installing Python 12

Chapter 2: Choosing a Code Editor 15

Installing VS Code 16

Installing Python Extensions 18

Creating a Folder for a New Project 19

Opening a project’s folder in VS Code 20

Selecting your Python version 21

Opening the Terminal in VS Code 22

Checking your Python version 23

Using Virtual Environments 24

Creating a virtual environment 25

Activating a virtual environment 26

Installing Modules 28

Writing and Running Python Scripts 30

Writing a Python script 30

Running a Python script 32

Chapter 3: Python Basics for Automation 35

Understanding Python Comments 35

Mastering Variables and Data Types 36

Working with numbers 37

Working with text (strings) 38

Deciding true or false with Booleans 39

Using lists 39

Making immutable lists with tuples 40

Defining key–value pairs in dictionaries 40

Leaving things hanging with None 41

Formatting Output 42

Dealing with Dates and Times 45

Manipulating Data with Operators 47

Using arithmetic and string operators 47

Using assignment operators 48

Recognizing other operators 49

Getting Loopy with Loops 51

Looping with for 51

Looping for a while 52

Bailing out of loops 53

Making Decisions 55

Deciding with if else 55

Compacting decisions with a ternary operator 56

Deciding with match 57

Defining Python Functions 58

Defining default values for parameters 60

Using type hints in Python functions 60

Creating Classes and Objects 61

Handling Exceptions 63

Part 2: Automating Common Computer Tasks 67

Chapter 4: Automating Files and Folders 69

Demystifying the Buzzwords 70

Drives, directories, folders, and files 71

Absolute versus relative paths 72

Backslashes in Windows paths 73

Playing It Safe 74

Navigating Folders and Files 74

Organizing Files by Type 81

Using mkdir for subfolders 86

Moving files with shutil 86

Making the script your own 87

Renaming Files in Bulk 87

Renaming files with Python 90

Using the bulk renaming script 91

Chapter 5: Automating File Management 93

Deleting Old and Temporary Files 93

Identifying old files 96

Matching the file pattern 96

Sending files to the trash 97

Using the deletion script safely 97

Backing Up Files 98

Creating folders from Python 101

Copying files with Python 101

Personalizing the backup script 102

Finding and Removing Duplicate Files 103

Calculating a file hash 106

Finding duplicate files 107

Deleting duplicate files 108

Tweaking the find duplicates script 108

Compressing Files 109

Compressing files with Python 112

Setting your compression parameters 113

Decompressing Files 114

Unzipping files with Python 116

Using the decompression script 117

Chapter 6: Automating Image and Video Files 119

Resizing, Rotating, Flipping, and Cropping Images 120

Resizing images 125

Rotating images 126

Flipping images 126

Cropping images 127

Customizing the image processor 128

Converting Image File Types 129

Converting files with Python 131

Personalizing the conversion script 132

Extracting Frames from Video Files 133

Importing modules for video extraction 135

Looping through a video 136

Tweaking the video conversion script 138

Chapter 7: Automating Mouse and Keyboard 139

Granting Permissions on a Mac 140

Moving the Mouse, Clicking, Dragging, and Scrolling 141

Understanding screen coordinates 141

Controlling the mouse speed 141

Stopping a wild mouse 142

Finding the screen locations of things 142

Using mouse control with a specific app 144

Trying out mouse control 144

Typing Text with Python 146

Controlling the typing speed 147

Typing long passages of text 147

Pressing special keys 148

Pressing hotkeys 148

Detecting the operating system 149

Detecting Keystrokes 150

Creating Your Own Keyboard Shortcuts 151

Automating Screenshots 155

Taking screenshots with Python 157

Personalizing the auto screenshot script 158

Chapter 8: Automating the Office 159

Automating Microsoft Word 159

Naming your Word document 162

Defining your Word content 163

Automating Microsoft Excel 164

Specifying your workbook 167

Defining content for your workbook 167

Creating and Opening PDFs 168

Defining content for your PDF 172

Identifying your PDF 172

Watermarking PDFs 173

Creating your watermark image 176

Adapting the script to your needs 177

Part 3: Automating the Internet 179

Chapter 9: Interacting with APIs 181

Obtaining API Keys 181

Safely Storing API Keys 182

Creating a .gitignore file 184

Using an API key in your script 185

Handling JSON Data 185

Parsing and serializing JSON data 187

Reading and writing JSON files 188

Understanding REST APIs 190

Making API requests 191

Parsing API responses 193

Reviewing a Complete REST API Script 194

Chapter 10: Automating the Web 197

Automating Web Browsers 197

Loading drivers for your browser 198

Finding text boxes to fill 200

Automating Filling Forms Online 201

Finding a control 203

Submitting a form with Enter 204

Filling Multiple Text Boxes 204

Clicking a form’s Submit button 207

Adapting the script to your needs 207

Filling Text Boxes from a File 208

Chapter 11: Scraping Web Pages 213

Picking the Right Tools for Web Scraping 213

Scraping Links from a Web Page 214

Sending a browser header 215

Parsing a web page 216

Extracting Data from a Web Page 217

Finding elements to scrape 218

Scraping data from the page 221

Automating Data Extraction 222

Determining whether a business is open 225

Scraping stock market data 227

Chapter 12: Automating Email and Text Messages 229

Sending Bulk Email Automatically 229

Collecting account information 230

Creating a .env file 230

Creating your email-sending script 231

Sending HTML mail 234

Putting email recipient addresses in a file 235

Automatically Sending Text Messages 236

Storing SMS account information 237

Defining your recipient list and message 239

Storing recipient numbers 239

Chapter 13: Automating Social Media 243

Acquiring API Keys and Modules 243

Automating Posting 244

Setting up your project 245

Making the script your own 249

Creating Content for Your Posts 249

Tracking Performance Metrics 251

Getting Instagram API access 251

Setting up your script 251

Defining your metrics and timeframe 254

Analyzing Trends 255

Viewing the trends 257

Setting your own keywords and timeframe 257

Part 4: Automating More Advanced Stuff 259

Chapter 14: Scheduling Tasks. 261

Using the Schedule Module 261

Understanding how the schedule module works 263

Scheduling tasks for intervals 264

Using the APScheduler Module 265

Using APScheduler with intervals 267

Using APScheduler with dates and times 268

Automating Python Scripts 271

Running scripts as subprocesses 271

Running scripts as imports 274

Chapter 15: Integrating with Artificial Intelligence 277

Accessing Free AI through an API 277

Warming Up to a Local Chatbot 282

Installing and running Ollama 283

Downloading AI models with Ollama 283

Building a simple local chatbot 284

Creating a Conversational Chatbot 287

Developing an AI Image Generator 290

Showing the generated image onscreen 295

Hitting up Hugging Face 301

Part 5: the Part of Tens 309

Chapter 16: Top Ten Zen of Python Guidelines 311

Beautiful Is Better than Ugly 311

Explicit Is Better than Implicit 314

Using type hints 315

Using comments 316

Handling errors 316

Simple Is Better than Complex 317

Complex Is Better than Complicated 320

Flat Is Better than Nested 321

Flattening nested conditionals 321

Using list comprehension 322

Sparse Is Better than Dense 324

Readability Counts 325

Special Cases Aren’t Special Enough to Break the Rule 326

Practicality Beats Purity 328

Errors Should Never Pass Silently 329

Chapter 17: Top Ten Python Error Messages 331

Command Not Found 331

No Module Named 333

SyntaxError 334

NameError 335

TypeError 336

IndexError 337

KeyError 339

AttributeError 340

ModuleNotFoundError 342

FileNotFoundError 343

IndentationError 345

Index 347

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