01Chapter 1: Introduction to Automation with Python

02Chapter 2: Files, Paths, and Safe Script Design

03Chapter 3: Working with JSON, CSV, and Excel Data

04Chapter 4: Calling APIs and Handling Authentication

05Chapter 5: CLI Tools and Argument Parsing

06Chapter 6: Scheduling Jobs and Background Automation

07Chapter 7: Web Scraping and Data Collection Basics

08Chapter 8: Database Automation and Reporting

09Chapter 9: Email, Messaging, and Notification Bots

10Chapter 10: Infrastructure and DevOps Automation

11Chapter 11: Error Handling, Logging, and Retries

12Chapter 12: Testing and Packaging Automation Scripts

13Chapter 13: Building Small Internal Admin Utilities

14Chapter 14: Using Python for Data Cleanup and Backfills

15Chapter 15: Capstone: Build a Practical Automation Toolkit

16Chapter 16: Capstone: Schedule, Monitor, and Maintain It

17Appendix A: Commands and Workflow Cheat Sheet

18Appendix B: Reference Architectures and Patterns

19Appendix C: Common Mistakes and Fixes

20Appendix D: Best Practices Summary

Automatización con Python

Book contents