Python is a high-level programming language used for a variety of tasks, including creating websites and applications, displaying and analyzing data, and automating tasks. It also imparts excellent ...

Data types are the concept you should be familiar with. This means you should know the most commonly used data types in Python, the difference between them, when and how to use them.

Python Data Types Python supports a variety of data types such as numeric (integers, floats, complex), string, boolean, list, tuple, and dictionary.

As you're exploring data types in Python, make sure to keep the "everything is an object" principle in mind, and take advantage of methods that let you ask questions about your Python data like its ...

The collections module is part of Python's standard library and holds some more advanced data containers. You'll learn how to use the Counter, defaultdict, OrderedDict and namedtuple in the context of ...

These methods facilitate the integration of varied data types for predictive tasks like regression, binary classification, and multi-class classification. For instance, whether predicting age based on ...