In this article, we will discuss two data structures tuples and lists in Python. They are frequently used in Machine Learning and Data Science. These data types are also called compound data types because they can store mixture of primitive data types like Strings, ints, and floats.
Temporal attributes are crucial since they help clarify the cyclic trends in data. This article will talk about all basic date-time manipulations, explorations, transformations, and some miscellaneous applications.
Python is the most preferred language for developing Machine Learning and Data Science applications. It has a large community support that can help debugging the errors and resolving all the roadblocks appearing while developing any solution.
Subscribe to get free weekly content on data structure and algorithms, machine learning, system design, oops design and mathematics.