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Mastering Data Structures and Algorithms with Python: A Practical Guide: Essential Concepts, Implementations, and Interview-Ready Solutions for Coding

by Pythquill Publishing
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₹2,195.00
Original price ₹2,195.00
Original price ₹2,195.00
₹2,195.00
Current price ₹2,195.00

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Book cover type: Paperback
  • ISBN13: 9798288096600
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 402
  • Original Price: USD 21.0
  • Language: English
  • Edition: N/A
  • Item Weight: 926 grams
  • BISAC Subject(s): Programming / General

What You Will Learn in This Book

  • Master the foundational concepts of Data Structures and Algorithms (DSA), including performance analysis using Big O notation and choosing the right tools for the job.
  • Leverage Python's capabilities for DSA implementation, from built-in types to advanced object-oriented programming techniques and standard library modules like collections.
  • Implement and analyze core data structures such as arrays, linked lists (singly, doubly, and circular), stacks, queues, and hash tables from scratch.
  • Understand and apply tree-based data structures, including general trees, binary trees, Binary Search Trees (BSTs), and heaps, along with their practical applications in priority queues.
  • Navigate and build graph-based solutions, learning different representations, traversal algorithms (BFS and DFS), and essential algorithms like Dijkstra's and Prim's for shortest paths and minimum spanning trees.
  • Grasp fundamental algorithmic paradigms including brute force, greedy algorithms, divide and conquer, dynamic programming, and backtracking to solve a wide range of computational problems.
  • Implement and compare various sorting and searching algorithms, understanding their efficiency trade-offs and Python's built-in optimized sorting methods.
  • Solve complex string manipulation problems using advanced algorithms like KMP and Rabin-Karp for pattern matching.
  • Bridge theory to practice by exploring real-world applications of DSA in areas like search engines, social networks, databases, and operating systems.
  • Develop a strategic approach to problem-solving, enabling you to analyze problems, choose appropriate data structures and algorithms, and optimize solutions for efficiency.
  • Prepare for technical interviews by understanding common interview questions and patterns related to DSA, and by building a strong portfolio of practical implementations

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