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Coding is a crucial aspect of Python programming that one cannot ignore. However, the code is likely to face certain problems along the way. Keeping this in mind, our PhD holders and subject matter experts have generated a series of points to gain maximum results from your assignment.
Adding print() statements in different sections in your code will help you track what is executed and what values of certain variables are while the code is executed. This can be particularly helpful in trying to locate where things went wrong.
Numerous integrated development environments (IDEs), including PyCharm or Visual Studio Code, come equipped with debuggers. These also have functionalities such as setting breakpoints, ingesting variables, and executing the program one statement at a time. All these characteristics provide debugging in a more intuitive and efficient process.
Since Python is dynamically written, it can sometimes produce behaviour that engineers do not expect. A lot of times this is simply due to data types that are misclassified, either by you or by the actual Python logic. Some of the ways to locate them are by using print(type(variable)).
Break larger or more complex functions into smaller, easier-to-understand segments. This will make finding errors easier and will assist you in determining which part of the code is at fault.
Python generates a stack trace upon an error. You can use this trace to identify exactly which bit of code caused the issue. This information will often reveal the line of code with the error, along with the error type.
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