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GROKKING ALGORITHM BLUEPRINT

About GROKKING ALGORITHM BLUEPRINT

Grokking Algorithms is a book that aims to help readers understand the fundamental concepts of computer science algorithms. It covers various algorithms and data structures, including searching, sorting, graph algorithms, dynamic programming, and more. The book presents the concepts clearly and concisely, with plenty of illustrations and examples to help readers grasp the ideas. It also includes exercises and challenges at the end of each chapter to help readers test their understanding and apply their knowledge. Grokking Algorithms aims to give readers a solid foundation in computer science algorithms and to help them develop the skills and confidence to tackle complex problems using algorithms. It is an excellent resource for computer science students, software engineers, and anyone interested in learning algorithms and data structures.

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  • Language:
  • English
  • ISBN:
  • 9798868957710
  • Binding:
  • Paperback
  • Pages:
  • 192
  • Published:
  • October 30, 2023
  • Dimensions:
  • 152x11x229 mm.
  • Weight:
  • 287 g.
Delivery: 1-2 weeks
Expected delivery: October 13, 2024

Description of GROKKING ALGORITHM BLUEPRINT

Grokking Algorithms is a book that aims to help readers understand the fundamental concepts of computer science algorithms. It covers various algorithms and data structures, including searching, sorting, graph algorithms, dynamic programming, and more.

The book presents the concepts clearly and concisely, with plenty of illustrations and examples to help readers grasp the ideas. It also includes exercises and challenges at the end of each chapter to help readers test their understanding and apply their knowledge.

Grokking Algorithms aims to give readers a solid foundation in computer science algorithms and to help them develop the skills and confidence to tackle complex problems using algorithms. It is an excellent resource for computer science students, software engineers, and anyone interested in learning algorithms and data structures.

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