What are the best practices for debugging in data science?
An example of an AI chatbot conversation about best practices for debugging in data science.
What are the best practices for debugging in data science?
Some best practices include using version control, writing tests, and logging your code execution.
Can you explain how logging helps in debugging?
Logging provides insights into the code execution flow and helps identify where errors occur.
What tools do you recommend for debugging data science projects?
Popular tools include Jupyter Notebooks for interactive debugging, and IDEs like PyCharm or Visual Studio Code.
How can I effectively test my data processing functions?
You can use unit tests to validate your functions with different input scenarios and expected outputs.
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