Software engineering and personal development
In the fast-paced world of web development, user experience is paramount. JavaScript, as a single-threaded language, often faces challenges in keeping applications responsive. Enter setTimeout(0), a clever technique that can work wonders for improving your application’s responsiveness.
Python is renowned for its elegant and versatile syntax that often leads to efficient and concise code. In this quick blog post, we’re going to explore a handy Python trick that utilizes dictionaries to effortlessly assign default values for missing keys. This simple technique can save time and streamline your code, making it an essential tool for any Python developer.
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Working with lists, sets, and dictionaries is a common task in Python programming. Often, we may need to remove all the elements from a list, set, or dictionary for various reasons. Python provides a simple and efficient way to clear all the elements from these data structures using the clear() method. In this article, we will discuss how to use the clear() method to remove all elements from a list, set, or dictionary.
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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Sometimes, you may need to check whether a list has any duplicate elements. This can be a common task when you are given a list of numbers or a list of strings. This can also be something that you may need to do both at work, or it can also be part of a coding challenge that you are implementing when being asked at a programming interview.
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If you have to find the union of elements that are either in the first or the second set, but not in both of them, then you need to use the symmetric difference.
This is also another math operation between sets that you have probably seen in a math class in high school.
This can be done quite easily and quickly using 2 built-in methods in Python.
Let’s start with the first one.
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In the last article, we saw how we can find the difference between 2 sets in Python. In this article, we are going to see how to find the union of 2 sets.
This is actually quite similar to the difference.
We also have 2 ways to do the union of 2 sets in Python.
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Most of the time you are adding elements into a list, or set, or a dictionary. However, there can also be cases when you just need to remove elements. Maybe a particular element, or even all elements at once.
If that is the case, then there is a quick method in Python that you can use to do that.
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