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Advanced applications of Python data structures and algorithms

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced applications of Python data structures and algorithms/ edited by Mohammad Galety, Arulkumar Natarajan, Sriharsha AV.
other author:	Galety, Mohammad Gouse,
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (298 p.)
[NT 15003449]:	Chapter 1. Fundamentals of data structures: stacks, queues, linked lists, and graphs -- Chapter 2. Organizing data using lists: a sequential data structure -- Chapter 3. Linear data structures and their applications -- Chapter 4. A comprehensive analysis of stack and queue data structures and their uses -- Chapter 5. Dynamic programming with Python -- Chapter 6. Exploratory data analysis in Python -- Chapter 7. Empowering scientific computing and data manipulation with numerical Python (NumPy) -- Chapter 8. Exploring Python's powerful data collections -- Chapter 9. Interactive visualization with plotly express -- Chapter 10. Enhancing big data analytics and recommendation systems with python: hierarchical clustering and filtering using slicing technique -- Chapter 11. Optimizing energy consumption in wireless sensor networks using Python libraries -- Chapter 12. An exploratory study of Python's role in the advancement of cryptocurrency and blockchain ecosystems -- Chapter 13. Exploring the role of Python in self-supervised contrastive learning for generating medical imaging reports -- Chapter 14. Python's role in predicting type 2 diabetes using insulin DNA sequence.
Subject:	Python (Computer program language) -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7100-5
ISBN:	9781668471029 (electronic bk.)

Advanced applications of Python data structures and algorithms
Advanced applications of Python data structures and algorithms[electronic resource] /edited by Mohammad Galety, Arulkumar Natarajan, Sriharsha AV. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (298 p.)

Includes bibliographical references and index.

Chapter 1. Fundamentals of data structures: stacks, queues, linked lists, and graphs -- Chapter 2. Organizing data using lists: a sequential data structure -- Chapter 3. Linear data structures and their applications -- Chapter 4. A comprehensive analysis of stack and queue data structures and their uses -- Chapter 5. Dynamic programming with Python -- Chapter 6. Exploratory data analysis in Python -- Chapter 7. Empowering scientific computing and data manipulation with numerical Python (NumPy) -- Chapter 8. Exploring Python's powerful data collections -- Chapter 9. Interactive visualization with plotly express -- Chapter 10. Enhancing big data analytics and recommendation systems with python: hierarchical clustering and filtering using slicing technique -- Chapter 11. Optimizing energy consumption in wireless sensor networks using Python libraries -- Chapter 12. An exploratory study of Python's role in the advancement of cryptocurrency and blockchain ecosystems -- Chapter 13. Exploring the role of Python in self-supervised contrastive learning for generating medical imaging reports -- Chapter 14. Python's role in predicting type 2 diabetes using insulin DNA sequence.

"Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms"--

ISBN: 9781668471029 (electronic bk.)Subjects--Topical Terms:

729789
Python (Computer program language)
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.73.P98 / A38 2023e

Dewey Class. No.: 005.13/3

Advanced applications of Python data structures and algorithms
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020 $a 9781668471005
020 $a 9781668471012 $q softcover
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245 0 0 $a Advanced applications of Python data structures and algorithms $h [electronic resource] / $c edited by Mohammad Galety, Arulkumar Natarajan, Sriharsha AV.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (298 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Fundamentals of data structures: stacks, queues, linked lists, and graphs -- Chapter 2. Organizing data using lists: a sequential data structure -- Chapter 3. Linear data structures and their applications -- Chapter 4. A comprehensive analysis of stack and queue data structures and their uses -- Chapter 5. Dynamic programming with Python -- Chapter 6. Exploratory data analysis in Python -- Chapter 7. Empowering scientific computing and data manipulation with numerical Python (NumPy) -- Chapter 8. Exploring Python's powerful data collections -- Chapter 9. Interactive visualization with plotly express -- Chapter 10. Enhancing big data analytics and recommendation systems with python: hierarchical clustering and filtering using slicing technique -- Chapter 11. Optimizing energy consumption in wireless sensor networks using Python libraries -- Chapter 12. An exploratory study of Python's role in the advancement of cryptocurrency and blockchain ecosystems -- Chapter 13. Exploring the role of Python in self-supervised contrastive learning for generating medical imaging reports -- Chapter 14. Python's role in predicting type 2 diabetes using insulin DNA sequence.
520 3 $a "Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms"-- $c Provided by publisher.
650 0 $a Python (Computer program language) $3 729789
650 0 $a Data structures (Computer science) $3 527210
650 0 $a Computer algorithms. $3 523872
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Galety, Mohammad Gouse, $d 1976-. $3 3675621
700 1 $a Natarajan, Arulkumar, $d 1986-. $3 3675622
700 1 $a AV, Sriharsha. $3 3675623
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7100-5