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debugging

Python debugging techniques, pdb, and IDE debugging tools

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업데이트2025년 12월 30일 12:44

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pluginagentmarketplace/custom-plugin-python

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소프트웨어 개발자컴퓨터 및 수학직15-1252L4

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SKILL.md

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name	Debugging
description	Python debugging techniques, pdb, and IDE debugging tools
version	2.1.0
sasmp_version	1.3.0
bonded_agent	04-testing-quality
bond_type	PRIMARY_BOND
retry_strategy	exponential_backoff
observability	{"logging":true,"metrics":"issue_resolution_time"}

Python Debugging Skill

Overview

Master Python debugging using pdb, IDE debuggers, and advanced troubleshooting techniques.

Topics Covered

pdb Debugger

Basic pdb commands
Breakpoint() function
Post-mortem debugging
Remote debugging
pdb++ enhancements

IDE Debugging

VS Code debugger
PyCharm debugging
Breakpoint conditions
Watch expressions
Call stack navigation

Logging

logging module setup
Log levels and handlers
Structured logging
Log aggregation
Debug logging strategies

Profiling

cProfile usage
line_profiler
memory_profiler
py-spy for production
Flame graphs

Error Analysis

Traceback analysis
Exception chaining
Context managers for debugging
Sentry integration
Error monitoring

Prerequisites

Python fundamentals
Exception handling

Learning Outcomes

Debug effectively with pdb
Profile performance issues
Set up proper logging
Analyze production errors

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name	Debugging
description	Python debugging techniques, pdb, and IDE debugging tools
version	2.1.0
sasmp_version	1.3.0
bonded_agent	04-testing-quality
bond_type	PRIMARY_BOND
retry_strategy	exponential_backoff
observability	{"logging":true,"metrics":"issue_resolution_time"}

Python Debugging Skill

Overview

Master Python debugging using pdb, IDE debuggers, and advanced troubleshooting techniques.

Topics Covered

pdb Debugger

Basic pdb commands
Breakpoint() function
Post-mortem debugging
Remote debugging
pdb++ enhancements

IDE Debugging

VS Code debugger
PyCharm debugging
Breakpoint conditions
Watch expressions
Call stack navigation

Logging

logging module setup
Log levels and handlers
Structured logging
Log aggregation
Debug logging strategies

Profiling

cProfile usage
line_profiler
memory_profiler
py-spy for production
Flame graphs

Error Analysis

Traceback analysis
Exception chaining
Context managers for debugging
Sentry integration
Error monitoring

Prerequisites

Python fundamentals
Exception handling

Learning Outcomes

Debug effectively with pdb
Profile performance issues
Set up proper logging
Analyze production errors