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Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Język publikacji: angielskim
Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition Dr. Basant Agarwal - okladka książki

Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition Dr. Basant Agarwal - okladka książki

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Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.

By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.

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O autorze książki

Dr. Basant Agarwal works as an Assistant Professor at the Indian Institute of Information Technology Kota. He holds a PhD and MTech from the Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India. Basant has 10+ years of experience in academia and research, and he was awarded the prestigious PostDoc Fellowship by the European Research Consortium for Informatics and Mathematics through the Alain Bensoussan Fellowship Programme. He has been teaching a course on data structures and algorithms to undergraduates for a while now and is highly experienced in working with Python for developing real-world applications. His research interests include NLP, machine learning, and deep learning.

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