1. Print and Check: A Simple Yet Powerful Debugging Technique
When it comes to debugging in Python, one of the most basic yet effective techniques is to print and check the values of specific variables.
By inserting print statements at relevant points in your code, you can easily verify if the variables are holding the expected values.
This simple technique allows you to quickly identify any discrepancies and narrow down the root cause of a bug.
However, it’s important to remove these print statements after debugging to maintain code cleanliness and readability.
By printing and checking variables, you gain valuable insights into the state of your code at different execution points.
This technique is particularly useful when dealing with complex code or when there are multiple variables involved in a certain logic or calculation.
Simply print the variables of interest and carefully examine their values to ensure they align with your expectations.
If you notice any unexpected values, you can then focus your debugging efforts on investigating the specific part of the code where the discrepancy occurs.
Here’s an example of how print and check can be applied:
“You have written a function that https://insurmee.ai/ calculates the average temperature for a given list of temperature values. However, you notice that the calculated average doesn’t match your expectations. To identify the issue, you insert a print statement in your code, just before calculating the average. By printing the list of temperature values, you discover that one value is significantly higher than the others. This discrepancy explains the incorrect average calculation. Armed with this knowledge, you can now investigate why this particular value is higher and fix the bug.”
In conclusion, the print and check technique is a simple yet powerful tool in your debugging arsenal.
By leveraging the ability to print and inspect variables, you can swiftly identify and fix issues in your Python code.
Remember to use this technique judiciously and remove the print statements once the debugging process is complete, to maintain code cleanliness and readability.