![]() And don’t get me wrong, the Notebooks are a great tool for data scientists. Many data s cientists (especially the ones just starting their adventure) work primarily with Jupyter Notebooks. The process is by no means restricted to data science, which merely adopted it from software engineering. Debugging is the process of detecting and removing bugs (errors or unintended behavior) from any kind of code. ![]() Well… At least that is the idea, and to be honest, most often the code does not work (well or at all) on the first attempt. ![]() ![]() Most frequently, we do our best to write good and clean code, which does exactly what we want it to do.
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