Exception handling is a vital aspect of writing reliable and
robust code. Neglecting to handle exceptions appropriately can
result in unhandled errors, leading to program crashes and
undesirable user experiences.
By anticipating potential errors and implementing proper
exception-handling techniques, you can ensure graceful error
recovery and maintain the stability of your code.
In this article, we’ll explore the significance of handling
exceptions effectively and provide code examples that
demonstrate the importance of incorporating try-except blocks.
If you are working with many numbers in Python, you probably
need to do some rounding to cut off some digits that you may
not need at all.
For example, let us say that you are calculating an average
salary in a company and the average number that you have found
is around 54,334.218
This may not be a number that can look good in a final report
you want to submit to someone. You should instead round it.
Let us do it in Python:
As you can see, the number 2 after the comma represents the
number of digits we want to keep. The thing is, we can also
use negative numbers to specify the number of digits we want
to keep.
If we use -1, we are doing the rounding to the nearest ten:
When we need to do the rounding to the nearest hundert, we use
-2:
If we want to do the rounding to the nearest thousand, we use
-3:
This may seem something quite trivial, but I also got to learn
it just recently.
You have probably come across situations in which you needed
to convert a string into a date in Python. There are a few
ways to do that, but you may have not had the chance to use
the following method.
It’s not that it is so special that you cannot learn, or that
it is so difficult what’s going on. It’s basically a rare
conversion that you have not had the chance to stumble upon
before.
Finding the number of days is usually quite popular and well
documentated. There can also be cases when we need to find a
difference in terms of weeks or even months.
If you want to find the difference in months between 2 dates,
then here is a quick Python script to help you do that.
For example, between October 2018 and November 2021, there
isn’t just a month difference. There is also a difference in
years as well.
Let us assume that we don’t have dates prepared yet, so we
initialize 2 variables with 2 dates.
After that, we find the difference in terms of number of
months in between.
We should keep in mind that we may have dates that are in
different years, and it’s not enough to think that we can just
subtract two dates. Because of that, we need to also find the
difference in years.
Here is the entire script:
You may get the impression that we may have a negative number
in the end, since we are subtracting the number representing a
month from another month.
To illustrate, let us assume that we have the following:
Now, since we are subtracting the number of months from the
first date and 3 < 12, we will indeed get -9. However, we
also have in the end a difference in years that is equal 1,
since 2021 – 2020 = 1.
Hence, we will add 12 to -9, and in the end we get the result
equal to 3:
If you use Mac and tend to copy and paste things from one
place to another, chances are, you may not be interested in
preserving the original formatting of the text. Instead, you
simply want the copied text to be pasted with the formatting
of the destination of where it is posted.
