Python being the elegant and simplistic language that it is offers the users a variety of options for easier and efficient coding. Python is one of the best programming choices for data science, machine learning, and deep learning.

Python is an object-oriented, high-level programming language that was released way back in 1991. Python is highly interpretable and efficient.

Python offers a wide range of library modules and frameworks, making it one of the most compatible languages for constructing machine learning models and working on data science projects.

Python presents a wide array of choices for the completion of each task. It is highly accessible and one of the best ways to get started with programming because it is fairly simple to use as well as quite easy to learn.

It also has a great community with constant updates and upgrades. At the time of writing this article, the most recent version of python is 3.9.

Data Structures are a collection of data elements that are structured in some way. Data Structures are the core of any programming language, and this holds true for python as well. There are many built-in data structures in python.

In this article, we will focus on one specific data structure in python called lists. We will look into the intricate details and understand some of the most essential concepts with respect to these lists. We will also look into the significance of lists for data science and machine learning.

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