What are some effective tools for debugging in data science?
Some popular tools for debugging in data science include Jupyter Notebook, PyCharm, and RStudio. Each offers unique features.
Can you explain how Jupyter Notebook helps in debugging?
Jupyter Notebook allows you to run code in cells, making it easy to isolate and test specific parts of your code, which aids debugging.
What about version control tools? Are they useful?
Yes, version control tools like Git are essential for tracking changes in your code, making it easier to identify when bugs were introduced.
Are there any specific libraries for debugging in Python?
Absolutely! Libraries like pdb, PySnooper, and loguru are great for debugging Python code, providing various functionalities.
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