Jul 20, 2013 · In Python, the List is one type of homogeneous sequences, while the Tuple is one type of heterogeneous sequences. But in a List, we still can put arbitrary type of data in it, like a=[1, 2, 'abc']....

May 21, 2023 · Examples of heterogeneous data structures in Python include dictionaries, sets, and pandas data frames. Homogeneous data structures are those which can contain only one type of data. For instance, a list of integers or a NumPy array with float values.

Homogeneous means "of the same or a similar kind or nature". While any value can be stored in a list along with any other value, in doing so the definition of "kind or nature" must be widened when dealing with the sequence.

Jul 21, 2014 · You're free to use tuples for homogenous data and lists for heterogenous data, and there may be cases where that's a fine thing to do. One important case is if you need the collection to the hashable so you can use it as a dictionary key; in this case you must use a tuple, even if all the elements are homogenous in nature.

Jan 26, 2025 · Python lists and tuples are sequence data types that store ordered collections of items. While lists are mutable and ideal for dynamic, homogeneous data, tuples are immutable, making them suitable for fixed, heterogeneous data. Read on to compare tuples vs. lists. By the end of this tutorial, you’ll understand that:

Mar 21, 2025 · In this tutorial, we will learn about the data types in Python programming with the help of examples. A data type in Python defines a specific type of value that a variable can store. In other words, the type of data value we can store in an identifier such as a …

May 20, 2021 · Refer to the below example that shows lists and tuples can contain both homogeneous and heterogeneous data. This section covers in-depth explanations of Python list Vs tuple. For a quick summary of list vs tuple, refer to …

Feb 4, 2025 · Python provides four key data structures: Lists, Tuples, Sets, and Dictionaries, each optimized for specific use cases. Lists store ordered, mutable collections, while Tuples offer immutable sequences for fixed data. Sets handle unique, unordered elements, useful for removing duplicates, and Dictionaries store key-value pairs for fast lookups.

Aug 30, 2022 · Heterogeneous: like lists, tuples can hold elements of different data types, including different data structures. For example, a tuple could have a string, followed by a float, followed by a list. Hence, despite a tuple being immutable it can hold mutable objects. Due to this, data is less tightly packed together (just like in lists).

May 21, 2023 · Here's an example: ```python # Create a list of tuples with heterogeneous elements my_list = [("John", 30, True), ("Alice", 25, False), ("Bob", 35, True)] ``` In this example, each tuple has three elements with different data types (string, integer, and boolean), making it a heterogeneous data structure.