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 frameworkfaulthandler— Dump the Python tracebackpdb— The Python Debugger- The Python Profilers
- Introduction to the profilers
- What Is Statistical Profiling?
- Instant User’s Manual
- Statistical Profiler Command Line Interface
profile.sampleModule Reference- Deterministic Profiler Command Line Interface
profileandcProfileModule Reference- The
StatsClass - What Is Deterministic Profiling?
- Limitations
- Calibration
- Using a custom timer
timeit— Measure execution time of small code snippetstrace— Trace or track Python statement executiontracemalloc— Trace memory allocations