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       Advanced Applications of Python 
       Data Structures and Algorithms 
       Part of the Advances in Systems Analysis, Software Engineering, 
       and High Performance Computing Book Series 
       Mohammad Gouse Galety (Catholic University in Erbil, Iraq), 
       Arul Kumar Natarajan (CHRIST (Deemed to be University), India) and 
       A. V. Sriharsha (MB University, India)
       Description: 
       Data structures are essential principles applicable to any programming 
       language in computer science. Data structures may be studied more 
       easily with Python than with any other programming language because 
       of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an 
       extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is 
       efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as 
       feasible while maintaining the highest possible level of precision. 
       Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying 
       the fundamentals of data structures and their many implementations and discusses the advantages and 
       disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, 
       and operators, this reference work is ideal for industry professionals, computer scientists, researchers, 
       academicians, scholars, practitioners, instructors, and students.
        ISBN: 9781668471005      Pages: 320             Copyright: 2023        Release Date: March, 2023
        Hardcover: $270.00       Softcover: $205.00     E-Book: $270.00        Hardcover + E-Book: $325.00
        Topics Covered:
          Arrays                                       Matplotlib
          Classes                                      Operators
          Datatypes                                    Python
          Dictionaries                                 Regular Expressions
          Graphs                                       Trees
          Linked Lists
        Subject: Computer Science and Information           Classification: Edited Reference
        Technology
        Readership Level: Advanced-Academic Level           Research Suitable for: Advanced Undergraduate 
        (Research Recommended)                              Students; Graduate Students; Researchers; 
                                                            Academicians; Professionals; Practitioners
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