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Data Structures in python

Data Structures in python Python can able to create different types of applications like web, desktop, Data Science, Artificial Intelligence and etc… for creating that kind of application mostly possible using data. Data is playing an important role that means data stored inefficiently as well as access in a timely. This process will be done using a technique called Data Structures. What is Data Structures? Data Structure is a process of manipulates the data. Manipulate is a process of organizing, managing and storing the data in different ways. It is also easier to get the data and modify the data. The data structure allows us to store the data, modify the data and also allows to compare the data to others. Also, it allows performing some operations based on data. Types of Data Structures in python Generally, all the programming language allows doing the programming for these data structures. In python also having some inbuilt operations to do that. Also in python, it
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What is Python

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What is Python? Python  is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation f
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