
Algorithms for Beginners:
Emily Parker
This audiobook is narrated by a digital voice.
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 thinkingThe logic and use cases behind sorting algorithms like Bubble Sort and Merge SortWhy Big O notation matters and how to measure algorithm efficiency with confidenceThe power of recursion and how it simplifies seemingly difficult problemsWhat greedy algorithms really do and when to use them for optimal solutionsThe beauty of dynamic programming and its ability to avoid redundant computationHow real-world systems—from GPS to recommendation engines—run on algorithmic logicWhether 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.
Scroll Up and Grab Your Copy Today!
Duration - 2h 35m.
Author - Emily Parker.
Narrator - Digital Voice Madison G.
Published Date - Saturday, 25 January 2025.
Copyright - © 2025 Emily Parker ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. 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 thinkingThe logic and use cases behind sorting algorithms like Bubble Sort and Merge SortWhy Big O notation matters and how to measure algorithm efficiency with confidenceThe power of recursion and how it simplifies seemingly difficult problemsWhat greedy algorithms really do and when to use them for optimal solutionsThe beauty of dynamic programming and its ability to avoid redundant computationHow real-world systems—from GPS to recommendation engines—run on algorithmic logicWhether 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. Scroll Up and Grab Your Copy Today! Duration - 2h 35m. Author - Emily Parker. Narrator - Digital Voice Madison G. Published Date - Saturday, 25 January 2025. Copyright - © 2025 Emily Parker ©.
Language:
English
Intro
Duration:00:00:12
Introduction
Duration:00:02:59
What Are Algorithms? A Simple Introduction
Duration:00:08:44
Understanding Pseudocode and Flowcharts
Duration:00:09:16
Big O Notation Made Easy
Duration:00:09:42
Sorting Algorithms: From Bubble to Merge
Duration:00:09:22
Searching Algorithms: Linear and Binary
Duration:00:09:43
Recursion Demystified
Duration:00:09:48
Greedy Algorithms: Making Local Choices
Duration:00:10:25
Divide and Conquer: Solving Problems Efficiently
Duration:00:10:38
Dynamic Programming for Beginners
Duration:00:10:42
Backtracking: A Systematic Approach
Duration:00:09:50
Graph Algorithms: Traversals and Paths
Duration:00:10:51
Trees and Binary Search Trees Explained
Duration:00:08:43
Hashing and Hash Tables Simplified
Duration:00:09:50
Real-World Applications of Algorithms
Duration:00:12:04
How to Think Like a Programmer
Duration:00:10:16
Conclusion
Duration:00:02:31