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Debug in Python3

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Python is a popular programming language used for a wide range of applications. When writing code, it is common to encounter errors that prevent the code from running as expected. Debugging is the process of identifying and fixing these errors. In this post, we will explore debugging in Python 3, including common tools and techniques used for identifying and resolving errors.

1. pdb

add breakpoint()

# some python code
breakpoint()
# some python code

support option

where
up
down
step
nexe
continue
quit

run with pdb

python3 -m pdb -c continue <program path>

2. cProfile

python3 -m cProfile simul.py
python3 -m cProfile -s tottime simul.py
python3 -m cProfile -o prof.out simul.py
from simul import benchmark
import cProfile

cProfile.run("benchmark()")

pr = cProfile.Profile()
pr.enable()
benchmark()
pr.disable()
pr.print_stats()

Using IDEs for debugging

Integrated Development Environments (IDEs) are software applications that provide a comprehensive environment for coding, editing, and debugging programs. Many popular IDEs for Python, such as PyCharm and Visual Studio Code, include built-in debugging tools that allow you to step through your code, view variables, and set breakpoints. These tools can be especially useful for large, complex programs where it may not be practical to use print statements or pdb.

Conclusion

Debugging is an essential part of programming, and Python 3 includes several tools and techniques to help identify and resolve errors. Whether you are using print statements, the built-in pdb debugger, or an IDE, the key is to stay patient and methodical when tracking down errors. With practice and persistence, you can become an expert at debugging in Python 3.

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