Top Python Keywords That You Must Use in Your Data Preparation Process

With easy to follow examples for beginners

Photo by Theo Crazzolara on Unsplash

You have data.

You need insights.

Unfortunately, before you get any insight out of data, you need to tackle the data preparation process.

At this point, there are commonly used Python keywords helping you in your basic data preparation tasks.

In this article, I will explain those top Python keywords and their uses in the data preparation process with easy to follow examples.

What is Keyword

Python keywords are reserved words that cannot be used as a variable name, function name or any other identifier as they have specific purpose and meaning in Python language.

Python 3.8 has 35 keywords which are listed below;

False      await      else       import     pass
None       break      except     in         raise
True       class      finally    is         return
and        continue   for        lambda     try
as         def        from       nonlocal   while
assert     del        global     not        with
async      elif       if         or         yield