I codes not functions Of Python, every now and then, they generate errors, also known as bugs. It could be errors of various kindswhich they cause more or less serious malfunctions and obvious.
Per find and fix Python errorsyou can resort to debugging or debugging using different instrumentsdepending on your level of experience, but also and above all starting from type of error and malfunction that lies before us.
The most common Python bugs are errors syntaxthe errors of runtime and errors logical. The most common solutions are suggested by compiler; alternatively, it is also possible to resort to print statements o al debugger advanced.
The important is never lose clarity and don’t give in to frustration. Errors are part of a programmer’s journey and, if approached with the right spirit, they can teach a lot even for the most experienced users.
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1. How to approach Python debugging
Before going into the merits of the Python functions that allow you to debug, it may be useful to start from some fundamental concepts. Starting from debug definitionsometimes written debugging: a practice that is divided into two different types of operations.
On the one hand theidentification of the bug: those technical problems that generally affect software and which can prevent the correct execution of a code. On the other hand fix the problem or, more generally, the identification of a series of steps that allow you to circumvent the bug.
Python is a programming language known for its accessibility. Luckily, debugging is no exception. There are in fact several elements to take into consideration, however quickly identify any problems at the programmatic level. And then start solving them.
A first element to pay attention to is the presence of error messages. Generally these messages are linked to small or large syntax errors. But the documentation eh compiler suggestions they are full of valuable information, which can help the user get a more precise idea.
After that it’s definitely worth getting used to break down large blocks of code in smaller fractions. So you can test the single bit of code, but above all the single functionality. This practice allows you to apply corrective measures before the code base becomes too large.
Finally, the potential of the Internet. The network is full of more or less expert Python users and it is absolutely plausible that a bug has already been experienced and solved by others.
If you are faced with complex situations, it is therefore advisable seek user feedback and suggestionswhich sometimes upload real ones to the web procedural tutorialsin which they explain how to do single debugging step by step.
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2. What are the most common Python bugs?
As anticipated in the previous paragraphs, Python debugging often has to do with problems that have already been identified and managed. To the point that some errors are almost “classics” for programming experts and enthusiasts.
A first category of very common error on Python and the main ones programming languages concerns the syntax. In this kind of programs, the word “syntax” has to do with the code structure and it has a role not too different from the one we attribute to it in the context of the Letters.
Syntax, together with grammar, guarantees the correctness and coherence of a sentence and in the same way it is one of the pillars on which the validity of a code is based.
If there are syntax errors, the Python compiler generates a error message. But not only that, considering that it also provides gods helpful tips to try debugging.
Another rather widespread category of error has to do with the runtime: a wording that refers to all those bugs that occur while the program is running.
They are also known by the name of exceptions and they can push the program to suddenly stopleading the user to have to force a general shutdown of Python.
Runtime bugs are unfortunately more difficult to locate from a debugging perspective, precisely due to their aforementioned nature. In fact, the Python compiler is not able to detect them, precisely because they are only displayed when the program is executed.
Finally, there is also room for the so-called logical errorswhich occur when the user is faced with a unexpected result or any other anomalous execution of the program.
Logical errors are too quite difficult to find automatically. The user therefore, before debugging, must necessarily run the program by entering data and evaluating if a correct answer is given.
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3. Useful tips for debugging Python
The first thing to do for set up a debug of Python functions is to identify the type to which the single error belongstaking into account for example the bug categories described in the previous paragraphs.
As already mentioned, syntax errors are generally the easiest and quickest to resolve: either using i compiler suggestions Python, both by resorting to the advice of other users on Internet.
In the case of more complex errorsyou can refer to thePython print statement. The latter allows you to force the program and push it to generate a new instruction inside the debug register.
This procedure allows you to view whether the instruction activates and, therefore, whether the code actually runs. Alternatively it is advisable to subject the functions or pieces of code involved to a more detailed examination.
Finally, we must never lose sight of the debugger in Python: A much more advanced solution than the print statements above. With the debugger in fact the user can execute every line of every codein order to better locate any problems.
To know more: What can you do with Python