Python programming language is one of the most highlighted and object-oriented high-level programming languages along with the features of dynamics semantics. It is a kind of high-level built-in mechanism of data structures just because it is associated with the binding and typing of dynamic.
One of the most important aspects is that python assists different kinds of packages as well as modules, therefore, some of the python developers make blunders and major mistakes while learning the syntax.
In this article, those mistakes are part of the discussion. These blunders also perform by the newer to this high-level language of python.
Mistake 1: Wrong use of expressions for defaults of concerned arguments
The python language permits you to highlight that feature in which it is included that the functional argument is non-mandatory in order to provide a kind of default value. Therefore, this is something great characteristic of this high-level language and it can also move towards confusion when the default value is mutable.
You can understand the cause of this common mistake by the below-mentioned example:
One of the most general mistakes is to understand that the argument which is optional has been sent to the particular kind of default expression because each time, that function is known as the mechanism without supplying a specific value for the purpose of an optional argument. Here, you have found in the above coding, let’s suppose, a person expects that calling of “foo( )” on the basis of repeatedly without the specification of “bar” argument and this will return as ‘ baz ‘. Because the supposition will be like that each particular time “foo ( )” is also known as the “bar” has been set to “[ ]”. Therefore, this mistake has been lead to a new kind of empty list.
What you have done mistakenly has been given the consequence like this:
Don’t you think that it is frustrating because of new list creation at each time? The best method is to keep adjoin the default value “ baz “ to the existing list at each time “foo ( )”.
Most importantly, the advanced and authentic high-level programming language answer is that within the functional argument, the default value is the one that evaluates at that time when that particular function is defined.
While the appropriate workaround for this mistake is mentioned below:
Mistake 2: Incorrect use of class variables
In order to elaborate on the phenomena of this mistake, let’s start considering this example:
Make some imagination and sense along with expectation. Now, you have to see some changes mentioned below:
Here, we have to analyze that we only changed “A.x” but there are no other changes in “C.x” and what about the symbols of $&!#?
It is most important to know that the class variables are supposed to be handled as the dictionaries which are generally referred to as the Order Resolution Method (MRO). Therefore, the attribute of “x” is present in the class “A”, whereas, in the class “c”, you have never found this mechanism.
The consequences move towards the phenomena of references to C.x are present in references (fact) to A.x and this causes the problem in the high-level programming language.
Mistake 3: Incorrect specification of parameters for the purpose of an exception block
Let’s take an example and imagine that you are working on this below-mentioned code:
As you can see that the overall problem is the index error in the “except” statement because this is not taking an appropriate list of exceptions. Also, the syntax of “except exception” is used for the purpose of binding the exception to the particular parameters of optional which is specified for the case of “e”.
Therefore, the exception of “Index Error” is not apprehended by the statement of “except”. The specification of the first parameter is most important while catching the multiple exceptions in the statement of “except”.
For this problem solution, always use the “as” keyword as this syntax has been supported by python 3 and python 2.
Mistake 4: Misunderstanding of the scope rules of python
Have you heard about python scope resolution? Basically, it is comprised of the LEGB rule in which you observes the kind of subtleties which provides more developed features for the problems of python programming mentioned below:
But here you have found the local error in the variable “x” in that situation when you consider the assignment to a variable and that specific variable has been associated by python.
It is general to those trip-up developers who are sing lists. Let’s take an example related to this concept:
Now, you are thinking that why is there a presence of “foo2” when “foo1” is already present? This is just because of the fact that it is important to assign a value to 1st and this is comprised of 1st itself. The presence of “foo2” is because of making an assignment to 1st.
Mistake 5: Modification of list during iteration over it
From the above-mentioned code, one of the most important and highlighted problems of Python from a list of arrays during its iteration is well known for any software developer. This high-level programming language incorporates several paradigms and one of the most important paradigms is list comprehension which helps in avoiding the above problem in deleting a particular item from the list of array.
Mistake 6: Clashing of names with library modules of python
Have you heard about the beauty of python? No? So, here is a piece of information regarding the wealth of library modules. Remember, if you will not avoid these library modules that it comes out of the boxes, so, it will move towards the clashing of name among one of your module names and the module having the same name in that standard library of python.
Therefore, to avoid these problems, always care about using similar names as those names which are mentioned in the standard python library of modules. If you will follow this direction, then, you will face any kind of panic regarding the clashing of names while coding.
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