python-debugpy

Remote Python debugging uses debugpy to attach to running processes, enabling step-by-step execution and variable inspection in headless or long-running environments. It connects to the target process interactively to trace and resolve issues.

Post-mortem analysis is the best way to inspect variables after a Python script crashes, allowing you to examine the stack trace and application state at the exact moment of failure. This technique helps identify the root cause of production crashes.

Yes, you can use pdb and the breakpoint() function for step-by-step local Python debugging. This approach allows you to interactively execute code line by line, inspect variables, and analyze application behavior to resolve issues efficiently.

Yes, interactive Python debugging requires the pdb and debugpy libraries to set breakpoints, perform step-by-step execution, and inspect variables. These dependencies provide the necessary protocol support for both local and remote debugging sessions.

Use debugpy instead of pdb when you need to attach to running remote processes or require DAP support for long-running environments. Pdb is better suited for local, interactive step-by-step code analysis and quick variable inspection.

Your automation pipeline may crash due to runtime errors, which you can investigate using post-mortem debugging to analyze the stack trace and variable state at the moment of failure. Setting breakpoints with debugpy helps trace the exact execution path leading to the crash.