- Python Crash Debugging
This document demonstrates debugging Python exceptions using PDB debugger covering traceback analysis, KeyError investigation, and fixing UTF-8 BOM encoding issues in CSV files.
Practical case study of database import script debugging.
- Debug With Print
This document covers debugging Python programs using print statements including strategies for variable inspection, execution flow tracking formatted output techniques, and best practices for effective printf debugging.
Simple yet powerful debugging technique.
- Debug With Assert
This document covers debugging Python programs using assert statements including assertion syntax, sanity checks, precondition validation, and best practices for catching bugs early in development.
Proactive bug detection technique.
- Debug With Try-Except
This document covers debugging Python programs using try-except blocks for exception handling, including catching specific exceptions, custom exceptions finally clauses, and best practices for graceful error handling.
Essential exception handling technique.
- Debug With Logging Module
This document covers debugging Python programs using the logging module including log levels, configuration, file output, custom formatters, and best practices for production-grade logging.
Professional debugging and monitoring technique.
- Debug With PDB
This document covers debugging Python programs using PDB interactive debugger including setting breakpoints, stepping through code, inspecting and modifying variables, and post-mortem debugging.
Python's built-in interactive debugger.
- Other Debugging Techniques
This document covers additional debugging techniques including IDE breakpoints, Visual Studio Code debugger features, conditional breakpoints variable inspection, and comparing IDE debugging with command-line approaches.
IDE-based debugging strategies.
- AI-Infused Debugging
This document covers AI-infused debugging and paired programming techniques including AI copilot tools like Google Gemini, GitHub Copilot, ChatGPT collaborative debugging workflows, paired programming practices, and best practices for using AI assistants.
AI-powered development assistance.
- Debugging Complex Systems
This document covers debugging techniques for complex multi-service systems including log analysis across distributed services, identifying service dependencies, rollback strategies, load balancer troubleshooting, and infrastructure management for cloud-based applications.
Distributed system debugging strategies.
- Communication and Documentation
This document covers communication and documentation strategies during incident response, including tracking troubleshooting activities communicating with affected users, coordinating team roles like incident commander and communications lead, and creating effective post-incident summaries.
Incident management best practices.
- Postmortems
This document covers postmortem documentation for incident response, including purpose, structure, essential components like root cause and prevention measures, focusing on learning rather than blame, and practicing postmortem writing for continuous improvement.
Learning from incidents through documentation.