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Algorithms for Beginners: : Learn Algorithmic Thinking, Data Structures, and Problem-Solving for Coding Interviews and Tech Careers - Emily Parker

Algorithms for Beginners:

Learn Algorithmic Thinking, Data Structures, and Problem-Solving for Coding Interviews and Tech Careers

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Published: 24th August 2025

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Algorithms for Beginners

Unlock the world of algorithms with a book that transforms intimidating theory into accessible, real-world understanding. Algorithms for Beginners is the ideal starting point for those who want to build a strong foundation in algorithmic thinking without getting overwhelmed by technical jargon or academic complexity. Whether you're a coding student, an aspiring developer, or a curious learner looking to enhance your problem-solving skills, this guide offers a clear and practical journey into the heart of how modern computing works.

Inside This Book, You'll Discover:

  • How to break down any complex problem using algorithmic thinking
  • The logic and use cases behind sorting algorithms like Bubble Sort and Merge Sort
  • Why Big O notation matters and how to measure algorithm efficiency with confidence
  • The power of recursion and how it simplifies seemingly difficult problems
  • What greedy algorithms really do and when to use them for optimal solutions
  • The beauty of dynamic programming and its ability to avoid redundant computation
  • How real-world systems—from GPS to recommendation engines—run on algorithmic logic

Whether you're preparing for interviews, improving your programming skills, or simply seeking clarity in a complex field, this book is the accessible yet comprehensive guide you've been searching for.

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