IBM Data Engineering Fundamentals: Python Basics for Data Science.IBM Data Science: Professional Certificate in Python Data Science.Google Data Analysis: Professional Certificate in Data Analytics.IBM Data Analysis: Professional Certificate in Data Analytics.IBM Data Science: Professional Certificate in Data Science.UC Davis Data Science: Learn SQL Basics for Data Science.Standford University Data Science: Introduction to Machine Learning.Harvard University Data Science: Learn R Basics for Data Science.For example, to access the last element of the list above, you can do: # access the last element You can also use negative indexing to access elements from the end of the list. For example, to access the first element of the list above, you can do: # access the first element You can access individual elements of a list by using their index, which starts at 0 for the first element. For example, to create a list of integers, you can do: # create a list To create a list in Python, you can use square brackets and separate the elements with commas. Lists are mutable, which means that you can change their contents by adding, removing, or modifying elements. They are used to store an ordered collection of items, which can be of different data types such as integers, strings, or even other lists. Lists are one of the most commonly used data structures in Python. By the end of this tutorial, you will have a clear understanding of how to filter out specific elements from a list in Python. Finally, we will combine these concepts to create a program that prints only the odd numbers in a given list. Then, we will move on to the concept of odd numbers and how we can identify them using the modulo operator. We will start by understanding what lists are and how they work in Python. In this tutorial, we will learn how to print only the odd numbers in a list using Python.
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