Python 3.6.5 Documentation >  Debugging and Profiling

Debugging and Profiling
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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.

* "bdb" — Debugger framework

* "faulthandler" — Dump the Python traceback

* Dumping the traceback

* Fault handler state

* Dumping the tracebacks after a timeout

* Dumping the traceback on a user signal

* Issue with file descriptors

* Example

* "pdb" — The Python Debugger

* Debugger Commands

* The Python Profilers

* Introduction to the profilers

* Instant User’s Manual

* "profile" and "cProfile" Module Reference

* The "Stats" Class

* What Is Deterministic Profiling?

* Limitations

* Calibration

* Using a custom timer

* "timeit" — Measure execution time of small code snippets

* Basic Examples

* Python Interface

* Command-Line Interface

* Examples

* "trace" — Trace or track Python statement execution

* Command-Line Usage

* Main options

* Modifiers

* Filters

* Programmatic Interface

* "tracemalloc" — Trace memory allocations

* Examples

* Display the top 10

* Compute differences

* Get the traceback of a memory block

* Pretty top

* API

* Functions

* DomainFilter

* Filter

* Frame

* Snapshot

* Statistic

* StatisticDiff

* Trace

* Traceback