Software engineering and personal development
Python is known for giving developers the ability to do a lot of things in a single line of code.
This can get quite messy from time to time and can make the code unreadable, but there can be some exceptions. Today’s trick is going to be one.
Let us say that we want to find the most frequent element in a list.
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You have probably had the chance to iterate through a list of elements in one way or another, or through elements of a set, or a dictionary. We can go through a list, a set, or a dictionary and access their elements because they are iterable objects.
An iterator is an object that contains a countable number of objects. This means that you can iterate through elements that an iterator contains.
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Dictionaries also known as maps are data structures that are used a lot in different scenarios. The process of getting an element from a dictionary can be done using an element that is not part of the dictionary which results in an error.
For example, let us take this scenario where we have a dictionary that has an element with the key name and another one with the element surname. If we want to access it using another element, such as age, we are going to see an error like the following:
my_dictonary = {"name": "Name", "surname": "Surname"}
print(my_dictonary["age"])
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When you have a list of elements, there can be cases when you need to check whether there an element is part of a list or not.
You can do this using in checker.
One of the common things that you can notice in many tasks is the fact that you need to sort elements in a list. In fact, this can also be part of an interview that you may go through while applying for a job. Maybe not only sorting elements, but sorting elements fulfilling certain conditions.
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