Avoid endless variable comparisons in python with this shortcut

certainly! in python, one common scenario we encounter is the need to compare a variable against multiple possible values. if not handled efficiently, this can lead to verbose and redundant code. fortunately, python offers concise ways to handle such comparisons, which can improve the readability and performance of your code.

### avoiding endless variable comparisons in python

instead of using multiple `if` statements to compare a variable against several possible values, you can leverage the `in` keyword along with a collection, such as a list or tuple. this method is not only more readable but also more efficient.

#### traditional method

let's look at a traditional approach where multiple comparisons are made:

in the above code, we have multiple `if` and `elif` statements that can become cumbersome, especially as the number of comparisons grows.

#### using the `in` keyword

a more concise and efficient way to perform the same checks is to use the `in` keyword. here’s how you can refactor the previous example:

### explanation

1. **define a collection**: we create a list named `statuses` that contains all the possible valid statuses.

2. **single `if` statement**: we use a single `if` statement to check if the `status` variable is in the `statuses` list.

3. **dynamic response**: if the status is found in the list, we print it; otherwise, we print "unknown status."

### benefits of using `in`

- **readability**: the code is cleaner and easier to read. you can quickly see all possible values in one place.
- **maintainability**: adding or removing valid statuses is straightforward; you only need to modify the list.
- **performance**: the lookup time for membership in a list or set can be faster than evaluating multiple conditions sequentially.

### conclusion

using the `in` keyword for comparisons in python simplifies your code, improves readability, and helps maintain efficient performance. this approach is particularly beneficial when you have a large n ...

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