Python Debugging
Published on: September 20, 2025
Tags: #python #debugging
General Python Debugging Workflow
graph TD %% Define Nodes with descriptive IDs bugIdentified["Bug Identified: Application behaves unexpectedly"] reproduceBug{"Reproduce the bug consistently"} analyzeTraceback["Analyze Traceback & Error Messages"] isObvious{"Is the cause obvious?"} fixBug["Fix the bug"] testFix["Test the fix"] resolution["Resolution: Bug Fixed"] gatherInfo["Gather more information"] chooseStrategy{"Choose a debugging strategy"} addLogging["Add Logging / Print Statements"] useAssertions["Use Assertions to check assumptions"] startDebugger["Start an Interactive Debugger (PDB, IDE)"] analyzeOutput["Run code & analyze output"] stepThroughCode["Step through code & inspect state"] isClear{"Is the cause clear now?"} %% Define Connections bugIdentified --> reproduceBug reproduceBug --> analyzeTraceback analyzeTraceback --> isObvious isObvious -- Yes --> fixBug isObvious -- No --> gatherInfo fixBug --> testFix testFix -- Pass --> resolution testFix -- Fail --> gatherInfo gatherInfo --> chooseStrategy chooseStrategy --> addLogging chooseStrategy --> useAssertions chooseStrategy --> startDebugger addLogging --> analyzeOutput useAssertions --> analyzeOutput startDebugger --> stepThroughCode analyzeOutput --> isClear stepThroughCode --> isClear isClear -- Yes --> fixBug isClear -- No --> gatherInfo %% Apply Styling style bugIdentified fill:#ffcccc,stroke:#333,stroke-width:2px style resolution fill:#ccffcc,stroke:#333,stroke-width:2px
Interactive Debugging Session with PDB
graph TD A[Start Debugging] --> B{How to start?}; B -- In Code --> C["Insert import pdb; pdb.set_trace()"]; B -- From CLI --> D["Run python -m pdb your_script.py"]; C --> E[Execution pauses at the breakpoint]; D --> E; E --> F{"What to do next?"}; F -- "Examine variables" --> G["Use p variable"]; F -- "Step through code" --> H{Choose step type}; F -- "Check source code" --> I["Use l (list)"]; F -- "Continue to next breakpoint" --> J["Use c (continue)"]; F -- "Exit" --> K["Use q (quit)"]; G --> F; I --> F; H -- "Next line (don't enter functions)" --> L["Use n (next)"]; H -- "Step into function" --> M["Use s (step)"]; H -- "Finish current function" --> N["Use r (return)"]; L --> O{Found the issue?}; M --> O; N --> O; O -- No --> F; O -- Yes --> K; J --> P[Execution continues or ends]; K --> Q[End Debug Session]; P --> Q;
Performance Issue Debugging (Profiling)
graph TD A[Application is running slow] --> B[Choose a Profiling Tool]; B --> B1[cProfile]; B --> B2[py-spy]; B --> B3[Scalene]; B1 --> C[Run application with profiler enabled]; B2 --> C; B3 --> C; C --> D[Generate Profiling Report / Data]; D --> E{Analyze the results}; E --> F[Identify 'hot spots': functions with high execution time or frequent calls]; F --> G[Optimize the identified code]; G --> H[Re-run the profiler]; H --> I{Is performance acceptable?}; I -- Yes --> J[Resolution: Performance Improved]; I -- No --> E; style A fill:#ffebcc,stroke:#333,stroke-width:2px style J fill:#ccffcc,stroke:#333,stroke-width:2px
Memory Leak Debugging Process
graph TD A[Observe increasing memory usage over time] --> B[Integrate a memory profiling tool e.g., `tracemalloc`]; B --> C[Start the application and let it run]; C --> D[Take an initial snapshot of memory allocation]; D --> E[Perform actions that are suspected to cause the leak]; E --> F[Take a second snapshot of memory allocation]; F --> G[Compare the two snapshots]; G --> H[Identify objects that have grown in number without being released]; H --> I[Analyze the code that creates these objects]; I --> J{Find where references are being held unnecessarily}; J -- Found --> K[Fix the code to release references]; J -- Not Found --> E; K --> L[Test the fix by repeating the process]; L --> M{Does memory still grow?}; M -- No --> N[Resolution: Memory Leak Fixed]; M -- Yes --> I; style A fill:#e6ccff,stroke:#333,stroke-width:2px style N fill:#ccffcc,stroke:#333,stroke-width:2px