Debugging and Profiling

These libraries help you with Python development: the debugger enables you to step through code, analyze stack frames and set breakpoints etc., and the profilers run code and give you a detailed breakdown of execution times, allowing you to identify bottlenecks in your programs. Auditing events provide visibility into runtime behaviors that would otherwise require intrusive debugging or patching.

Audit events table
bdb — Debugger framework
faulthandler — Dump the Python traceback
pdb — The Python Debugger
- Debugger Commands
The Python Profilers
timeit — Measure execution time of small code snippets
trace — Trace or track Python statement execution
- Command-Line Usage
- Programmatic Interface
tracemalloc — Trace memory allocations
- Examples
- API
  - Functions
  - DomainFilter
  - Filter
  - Frame
  - Snapshot
  - Statistic
  - StatisticDiff
  - Trace
  - Traceback

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