In this chapter, we will cover the following recipes:
- Debugging—how to leverage the Python built-in debugger
- Testing—writing test suites with the Python standard library test framework
- Mocking—patching objects to simulate fake behaviors in tests
- Reporting errors in production—getting crashes reported by email
- Benchmarking—how to benchmark functions with the standard library
- Inspection—inspecting the type, attributes, and methods provided by an object
- Code evaluation—running Python code within Python code
- Tracing—how to trace which lines of code were executed
- Profiling—how to trace bottlenecks in code
