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26. Depuração e perfilamento¶

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.

  • 26.1. bdb — Debugger framework
  • 26.2. pdb — The Python Debugger
  • 26.3. Debugger Commands
  • 26.4. The Python Profilers
    • 26.4.1. Introduction to the profilers
    • 26.4.2. Instant User’s Manual
    • 26.4.3. profile and cProfile Module Reference
    • 26.4.4. The Stats Class
    • 26.4.5. What Is Deterministic Profiling?
    • 26.4.6. Limitations
    • 26.4.7. Calibration
    • 26.4.8. Using a custom timer
  • 26.5. hotshot — High performance logging profiler
    • 26.5.1. Profile Objects
    • 26.5.2. Using hotshot data
    • 26.5.3. Example Usage
  • 26.6. timeit — Measure execution time of small code snippets
    • 26.6.1. Basic Examples
    • 26.6.2. Python Interface
    • 26.6.3. Interface de Linha de Comando
    • 26.6.4. Exemplos
  • 26.7. trace — Trace or track Python statement execution
    • 26.7.1. Command-Line Usage
      • 26.7.1.1. Main options
      • 26.7.1.2. Modifiers
      • 26.7.1.3. Filters
    • 26.7.2. Programmatic Interface

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25.5. test — Pacote de Testes de Regressão do Python

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26.1. bdb — Debugger framework

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