When it comes to creating or defining an array, it means that we also want to define an appropriate data type for it. The data could not be of heterogeneous type. A similar type of data can be kept in an array. The arrays in Python are braced by the array module. The box that is placed first is at the first number and so on. The number of the particular box can be identified by a sequence. We can think of an array as a container that has multiple boxes placed in a sequence. An index is primarily the location of the stored item in an array. An array stores a similar type of data in a single container and later on the data is accessed by the index number. Almost every programming language offers the luxury to use arrays. If you want to know more about data structures in general and how they work in concept, check out my article on 8 essential data structures.Īn array is used to store the data sequentially. We would learn to use data structure through simple examples. Python supports the fundamental data structures more efficiently and easily as compared to the other programming languages. Python is the most efficient programming language when it comes to data structures. The use of data structures makes our program faster and efficient. For example, if we are building a student management system and want to store the data in the application, we will use data structures for this purpose.ĭata structures help us to organize our data efficiently and in a better way. We can find the application of the data structure almost everywhere we could imagine. The data structures are used to keep the data in the application.ĭata management is an important task for all software systems and applications in the design and development phase. Data structures are one of the most important and fundamental concepts in programming.
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