In this free Data Structures in Python Course, you will learn about the four inbuilt data structures. You will start this course by learning the basic concepts of Python such as its features and uses. Then, you will be briefed about the different types of data structures in Python starting from Lists which is a collection of values with the same or different type. Then we will jump to the Tuple data structure in Python which is immutable. Then comes Set, which is a collection of unique elements, and a dictionary(having key and value pair). Before summing up the Python Data Structures Course, you will also go through the various differences between each data structure in Python & when to use which data structure. The differences will be between List vs Tuple, List vs Set, List vs Dictionary.   Explore our Software Engineering Courses today.   Data structures in Python are the collections of related data values, or objects, which are organized in a particular way. Python provides various types of data structures, such as lists, dictionaries, tuples, sets, and more.    Each of these data structures has a specific purpose and allows for efficient manipulation of data. Lists are one of the most commonly used data structures in Python. They are used to store an ordered sequence of elements, and can be manipulated using a variety of methods and functions. Dictionaries are another popular data structure in Python. They store key-value pairs, and are useful for storing a large amount of data.    Tuples are similar to lists, but are immutable, meaning that their values cannot be changed. Sets are collections of unique elements, and are often used for finding common elements between two sets of data. Python also provides powerful data structures such as queues and stacks, which are used for managing data in a specific order. By understanding the different types of data structures in Python, developers can create more efficient and powerful applications.

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