Principles of Data Science
Error handling refers to the process of responding to and managing errors that occur during the execution of a program or when making requests to web services. This is particularly important in web scraping and API interactions, where issues such as network problems, unexpected data formats, or server errors can arise. Effective error handling ensures that programs can gracefully manage these issues without crashing and can provide meaningful feedback or take corrective actions.
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