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Shared on 2025-11-29
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AuthorAdrian Westbrook

What if you could finish your work by 5 PM every day? Stop drowning in repetitive tasks. "Python at Work" transforms exhausted office workers into automation wizards—no coding experience required. In just 30 days, you'll master: Email automation that sorts your inbox while you sleep Excel magic that processes thousands of rows in seconds PDF wizardry that merges, splits, and extracts data instantly File organization that never lets you lose another document Web scraping that gathers data faster than any intern Real results from real people: "I used to stay until 8 PM handling reports. Now I'm done by 4:30 and the reports are better than ever." — Sarah M., Marketing Manager "This book saved my sanity. What took me 3 hours now takes 3 minutes." — David L., Financial Analyst Why this book works: ✓ Zero to hero approach — starts with complete basics ✓ Copy-paste solutions — working code you can use immediately ✓ Real office scenarios — email chaos, spreadsheet hell, PDF nightmares ✓ Safety first — error handling that won't crash your computer ✓ Boss-friendly — professional automation that impresses management Stop working weekends. Stop staying late. Stop doing what a computer should do. Your future self will thank you. Your family will thank you. Even your boss will thank you. Click "Buy Now" and automate your way to freedom.

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Publisher: Adrian Westbrook
Publish Year: 2025
Language: 英文
File Format: PDF
File Size: 3.2 MB
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Python at Work: Automate Your Way to 5 PM Adrian Westbrook Published by Adrian Westbrook, 2025. OceanofPDF.com
While every precaution has been taken in the preparation of this book, the publisher assumes no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. PYTHON AT WORK: AUTOMATE YOUR WAY TO 5 PM First edition. July 1, 2025. Copyright © 2025 Adrian Westbrook. Written by Adrian Westbrook. OceanofPDF.com
TABLE OF CONTENTS Title Page Copyright Page Python at Work: Automate Your Way to 5 PM Part 1: Getting Started with Python for Automation | Chapter 1: Welcome to the World of Automation Chapter 2: First Steps in Python: The Basics You Need Chapter 3: Mastering Essential Data Structures Part 2: Automating Common Office Tasks | Chapter 4: Working with Files and Folders Chapter 5: Manipulating Spreadsheets (Excel) Chapter 6: Working with PDFs Chapter 7: Working with Word Documents Chapter 8: Sending and Receiving Emails Part 3: Advanced Automation Techniques | Chapter 9: Web Scraping with Python Chapter 10: Automating GUI Interactions (Mouse and Keyboard) Chapter 11: Working with APIs Chapter 12: Scheduling Your Automations Part 4: Building Your Automation Toolkit | Chapter 13: Error Handling and Debugging Chapter 14: Creating Reusable Code: Functions and Modules Chapter 15: Best Practices for Robust Automation
Appendix Appendix A: Useful Python Libraries for Automation Appendix B: Common Error Messages and How to Fix Them Appendix C: Resources for Further Learning About the Author OceanofPDF.com
Python at Work: Automate Your Way to 5 PM Adrian Westbrook 2025-07-01T23:02:24Z
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PYTHON AT WORK: AUTOMATE YOUR WAY TO 5 PM OceanofPDF.com
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PART 1: GETTING STARTED WITH PYTHON FOR AUTOMATION
CHAPTER 1: WELCOME TO THE WORLD OF AUTOMATION • 1.1. Why Automate? The Power of Efficiency – 1.1.1. Reclaiming Your Time – 1.1.2. Reducing Errors and Tedium – 1.1.3. Focusing on More Important Tasks • 1.2. Your New Superpower: Python – 1.2.1. What is Python and Why is it Great for Automation? – 1.2.2. A Glimpse into Python’s Versatility • 1.3. Setting Up Your Python Environment – 1.3.1. Installing Python – 1.3.2. Choosing and Using a Code Editor (VS Code, PyCharm, Sublime Text) – 1.3.3. Understanding the Command Line Interface (CLI) – 1.3.4. Installing Packages with pip OceanofPDF.com
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CHAPTER 2: FIRST STEPS IN PYTHON: THE BASICS YOU NEED • 2.1. Your First Python Program: “Hello, World!” • 2.2. Variables and Data Types – 2.2.1. Numbers (Integers and Floats) – 2.2.2. Strings (Text) – 2.2.3. Booleans (True/False) • 2.3. Basic Operations – 2.3.1. Arithmetic Operators – 2.3.2. String Concatenation and Repetition • 2.4. Input and Output – 2.4.1. Getting User Input (input()) – 2.4.2. Displaying Output (print()) • 2.5. Control Flow: Making Decisions – 2.5.1. Conditional Statements (if, elif, else) – 2.5.2. Comparison and Logical Operators • 2.6. Loops: Repeating Actions – 2.6.1. for Loops – 2.6.2. while Loops – 2.6.3. break and continue OceanofPDF.com
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CHAPTER 3: MASTERING ESSENTIAL DATA STRUCTURES • 3.1. Lists: Ordered Collections – 3.1.1. Creating, Accessing, and Modifying Lists – 3.1.2. List Methods (append, insert, remove, sort, etc.) – 3.1.3. Slicing Lists • 3.2. Tuples: Immutable Sequences – 3.2.1. When to Use Tuples • 3.3. Dictionaries: Key-Value Pairs – 3.3.1. Creating, Accessing, and Modifying Dictionaries – 3.3.2. Dictionary Methods (keys, values, items) • 3.4. Sets: Unique Collections – 3.4.1. Set Operations OceanofPDF.com
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PART 2: AUTOMATING COMMON OFFICE TASKS
CHAPTER 4: WORKING WITH FILES AND FOLDERS • 4.1. Navigating Your File System with Python – 4.1.1. The os Module: Core File Operations – 4.1.2. Current Working Directory – 4.1.3. Listing Files and Directories – 4.1.4. Creating, Renaming, and Deleting Files/Folders • 4.2. Organizing Your Digital Life – 4.2.1. Batch Renaming Files – 4.2.2. Moving and Copying Files – 4.2.3. Deleting Empty Folders – 4.2.4. Creating Folder Structures • 4.3. Walking Through Directory Trees (os.walk()) • 4.4. Paths and File Names: The pathlib Module – 4.4.1. A Modern Approach to File Paths OceanofPDF.com
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CHAPTER 5: MANIPULATING SPREADSHEETS (EXCEL) • 5.1. Introduction to Spreadsheet Automation • 5.2. Reading Excel Files with pandas – 5.2.1. Installing pandas – 5.2.2. Loading Workbooks and Sheets – 5.2.3. Selecting and Filtering Data – 5.2.4. Basic Data Analysis • 5.3. Writing to Excel Files with pandas – 5.3.1. Creating New Spreadsheets – 5.3.2. Exporting DataFrames – 5.3.3. Adding Multiple Sheets • 5.4. Advanced Excel Tasks – 5.4.1. Formatting Cells – 5.4.2. Working with Formulas – 5.4.3. Merging and Appending DataFrames OceanofPDF.com
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