Software engineering and personal development
In the fast-paced world of coding, every keystroke counts. JavaScript developers often seek ways to streamline their code, making it both more concise and more readable. Enter the ternary operator, a tiny powerhouse that can simplify short conditional statements. In this brief guide, we’ll explore how ternary operators can enhance your coding efficiency.
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One of the most attractive features of Python is its readability and conciseness, allowing developers to write elegant and efficient code. In this article, we will explore a Python method called “Compact” that helps remove falsy values from a list using filter().
The Compact method is a simple yet powerful Python function that removes falsy values (False, None, 0, and “”) from a list. It does this by utilizing the filter() function, which returns an iterator that includes only the elements of the list that satisfy a specific condition.
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One way to improve the concision of your Python code is by using the ternary operator, a handy tool that allows you to condense an if-else statement into a single line of code.
Let us jump straight into it.
Imagine that you have the following comparison:
x = 5
y = 10
if x > y:
result = x
else:
result = yYou can then write it in a single line:
result = x if x > y else y
One way of introducing potential bugs is the lack of information about the way scopes work inside functions in Python.
When we declare global variables, their value may not change as we may expect.
Let us see this in an example to understand how a simple example can be misleading and confusing for a lot of people.
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In many cases, we may have multiple conditions that we want to check, and going through each one of them can be a clutter.
First and foremost, we should keep in mind that we write code for other humans to read it. These are our colleagues that work with us, or people who use our open source projects.
As such, checking whether at least one condition is met can be done using a very quick way by using the method any().
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One of the most common ways to debug is by using print() functions in Python.
They are so commonly used all over the place that you may even end up seeing them in code that is included in production.
One thing that not a lot of people know is that you can include conditions in print() functions.
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Lists are used pretty much all over the place in Python and in other programming languages as well.
Checking whether they have elements or not represents something that you may need to do.
One interesting thing about Python is that it allows you to do the same thing in more than just one way, as we can see in this case.
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