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Organizing Data Using Lists: A Sequential Data Structure
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Author(s): Saleem Raja Abdul Samad (University of Technology and Applied Sciences, Shinas, Oman), N. Arulkumar (CHRIST University (Deemed), India), Justin Rajasekaran (University of Technology and Applied Sciences, Shinas, Oman), R. Vinodini (Little Angels Institute, Karur, India)and Pradeepa Ganesan (University of Technology and Applied Sciences, Shinas, Oman)
Copyright: 2023
Pages: 17
Source title:
Advanced Applications of Python Data Structures and Algorithms
Source Author(s)/Editor(s): Mohammad Gouse Galety (Department of Computer Science, Samarkand International University of Technology, Uzbekistan), Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan)and A. V. Sriharsha (MB University, India)
DOI: 10.4018/978-1-6684-7100-5.ch002
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Abstract
Computer programming aims to organize and process data to get the desired result. Software developer chooses a programming language for application development based on the data processing capabilities of the language. The list is one of the sequential data structures in Python. A list is limited to a particular data type, such as numbers or strings. Occasionally, a list may include data of mixed types, including numbers and strings. Elements in the list can be accessed by using the index. Usually, a list's elements are enclosed within square brackets and divided using commas. The list may be referred to as a dynamic-sized array, which denotes that its size increases as additional data is added and that its size is not predefined. List data structure allows repetition; hence, a single data item may appear several times in a list. The list assists us in solving several real-world problems. This chapter deals with the list's creation and manipulation, the complexity of processing the list, sorting, stack, and queue operations.
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