In the world of JavaScript, comparing values is a fundamental
operation, and doing it right can save you from unexpected
surprises and bugs. When it comes to equality comparisons,
=== is your trusty
guardian, and in this brief guide, we’ll uncover why it should
be your go-to choice.
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 = y
A leap year is a year that has 366 days instead of the usual
365. It occurs every four years and is the year when an extra
day, February 29th, is added to the calendar. This day, known
as a leap day, helps to keep the calendar aligned with the
Earth’s movements around the sun. Leap years occur every four
years, with the next one occurring in 2024.
We can check whether a year is a leap year in Python in a few
ways.
Anagrams are strings that have the same letters but in a
different order for example
abc,
bca,
cab,
acb,
bac are all anagrams, since
they all contain the same letters.
We can check whether two strings are anagrams in Python in
different ways. One way to do that would be to use
Counter from the
collections module.
A Counter is a dict subclass for counting hashable objects. It is a collection where elements are stored as dictionary keys and their counts are stored as dictionary values. Counts are allowed to be any integer value including zero or negative counts. The Counter class is similar to bags or multisets in other languages.
In plain English, with
Counter, we can get a
dictionary that represents the frequency of elements in a
list. Let us see this in an example:
Similar to the case of using
any(), we can also use a
method that allows us to check whether all conditions are met.
This can also greatly reduce the complexity of the code since
you do not need to use multiple and checks.
Let us see this with an example.
Let us assume that we have the following conditions where we
are checking whether we have more than 50 points in each
school course:
Now passing all of them means that each condition should be
met. To help us with that, we can simply use
all(), as can be seen in
the following snippet:
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().
There can be cases when we want to check whether a value is
equal to one of the multiple other values.
One way that someone may start using is using
or and adding multiple
checks. For example, let us say that we want to check whether
a number is 11, 55, or 77. Your immediate response may be to
do the following:
m = 1 if m == 11 or m == 55 or m == 77: print("m is equal to 11, 55, or 77")
There is fortunately another quick way to do that.