You can detect errors in your code using if statements, as we did in the first post, or you can detect them using the try-except structure, as we did in the second and third posts. With both of these approaches, we used the print command to provide the user with some information about the error and the sys.exit() command to
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I recently highlighted a symposium that was held to improve the reproducibility of biomedical research. The published report includes a discussion on strategies that can help improve research practice and research reproducibility. Statistics: continuing education opportunities Stakeholders at the conference highlighted the need for continuing education opportunities in statistics. Continuing education should focus on examples and case studies that are
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Thinking of where our program might go wrong is never ending. However, there are situations where you can predict the most common types of errors and plan for their occurrence. In this post we will learn how to test for specific error exceptions in Python. Different types of errors As part of this series of tutorials (1, 2), we have
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In the last post, we learned to use an if test to detect an error that could occur when a user runs our program. A more modern and flexible way of handling errors is to try to execute a statement, and if something goes wrong, jump to a specific set of statements to deal with the error, or at least
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Errors are a part of life. Thus, it makes sense to plan for them and minimize their impact. A computer program that has an unwanted behaviour is said to have a “bug”. These types of errors should be fixed before the code is used and shared with others. Other types of errors cannot be avoided, but the clever coder can
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In two previous post (1, 2), I highlighted a symposium that was held to improve the reproducibility of biomedical research. The published report includes a discussion on cultural factors that have contributed to the high prevalence of irreproducible research. Culture and nature of science Whether or not the questionable research practices described in the previous post are the result of
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Scientifically Sound 