Python for Informatics: Exploring Information by Charles Severance

Author:Charles Severance
Language: eng
Format: mobi
Published: 0101-01-01T00:00:00+00:00

If there is an error, you can reduce n to the smallest value that manifests the error, and then increase it gradually as you find and correct errors.

Check summaries and types:

Instead of printing and checking the entire dataset, consider printing summaries of the data: for example, the number of items in a dictionary or the total of a list of numbers.

A common cause of runtime errors is a value that is not the right type. For debugging this kind of error, it is often enough to print the type of a value.

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