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 frameworkBdbQuit
Breakpoint
Bdb
Bdb.canonic()
Bdb.reset()
Bdb.trace_dispatch()
Bdb.dispatch_line()
Bdb.dispatch_call()
Bdb.dispatch_return()
Bdb.dispatch_exception()
Bdb.is_skipped_line()
Bdb.stop_here()
Bdb.break_here()
Bdb.break_anywhere()
Bdb.user_call()
Bdb.user_line()
Bdb.user_return()
Bdb.user_exception()
Bdb.do_clear()
Bdb.set_step()
Bdb.set_next()
Bdb.set_return()
Bdb.set_until()
Bdb.set_trace()
Bdb.set_continue()
Bdb.set_quit()
Bdb.set_break()
Bdb.clear_break()
Bdb.clear_bpbynumber()
Bdb.clear_all_file_breaks()
Bdb.clear_all_breaks()
Bdb.get_bpbynumber()
Bdb.get_break()
Bdb.get_breaks()
Bdb.get_file_breaks()
Bdb.get_all_breaks()
Bdb.get_stack()
Bdb.format_stack_entry()
Bdb.run()
Bdb.runeval()
Bdb.runctx()
Bdb.runcall()
checkfuncname()
effective()
set_trace()
faulthandler
— Dump the Python tracebackpdb
— The Python Debugger- The Python Profilers
timeit
— Measure execution time of small code snippetstrace
— Trace or track Python statement executiontracemalloc
— Trace memory allocations