In this no-cost Data Structures in Python Course you will be taught about the four data structures that are built into Python. The course will begin by understanding the fundamental concepts of Python including its functions and applications. After that you will be taught on the various types of data structures that are available in Python beginning with Lists which are collections of values that have the same or a different type. We will then move on into what is known as the Tuple Data Structure in Python that is immutable. Then we will move to Set which is a collection of distinct elements, as well as it is a dictionary(having keys and values). Before you summarize this course Python Data Structures course, you will be able to understand the distinctions between each of the data structures in Python and when to utilize the particular data structure. The distinctions will be among List and Tuple, List vs Set, List vs Dictionary. Check out the range of Software Engineering Courses today. The data structures of Python are collections of data values that are related, or objects, that are structured in a specific way. Python offers a variety of data structures, including lists, dictionaries, tuples sets, and many more. Every one of them serves particular functions and allow the efficient manipulating data. Lists are among the most frequently used types of data structure in Python. They can be used for storing an organized set of elements. They can be modified by a variety of techniques and functions. Dictionaries are another well-known data structure used in Python. They are used to store key-value pairs and are useful for the storage of huge amounts of data. They are similar to lists, however they are immutable which means that their value can't be altered. Sets are collections of distinct elements. They are commonly utilized to find common elements in the two data sets. Python also offers strong data structures, such as stacks and queues that can be used to manage data in a certain order. Through understanding the various types of data structures available in Python developers can build more powerful and efficient applications.
