A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills - Info and Reading Options
By Jay Wengrow

"A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills" is published by Pragmatic Bookshelf in Aug 13, 2017 - Raleigh, North Carolina and it has 222 pages.
“A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills” Metadata:
- Title: ➤ A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
- Author: Jay Wengrow
- Number of Pages: 222
- Publisher: Pragmatic Bookshelf
- Publish Date: Aug 13, 2017
- Publish Location: Raleigh, North Carolina
“A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills” Subjects and Themes:
- Subjects: ➤ Data structures (computer science) - Computer algorithms - Data structures (Computer science) - COMPUTERS - Data Modeling & Design
Edition Identifiers:
- The Open Library ID: OL26834264M - OL19543579W
- Online Computer Library Center (OCLC) ID: 1004966476
- ISBN-13: 9781680502442 - 9781680503098
- ISBN-10: 1680502441
- All ISBNs: 1680502441 - 9781680502442 - 9781680503098
AI-generated Review of “A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills”:
"A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills" Description:
Open Data:
Cover -- Table of Contents -- Preface -- Who Is This Book For? -- What's in This Book? -- How to Read This Book -- Online Resources -- Acknowledgments -- 1. Why Data Structures Matter -- The Array: The Foundational Data Structure -- Reading -- Searching -- Insertion -- Deletion -- Sets: How a Single Rule Can Affect Efficiency -- Wrapping Up -- 2. Why Algorithms Matter -- Ordered Arrays -- Searching an Ordered Array -- Binary Search -- Binary Search vs. Linear Search -- Wrapping Up -- 3. Oh Yes! Big O Notation -- Big O: Count the Steps -- Constant Time vs. Linear Time -- Same Algorithm, Different Scenarios -- An Algorithm of the Third Kind -- Logarithms -- O(log N) Explained -- Practical Examples -- Wrapping Up -- 4. Speeding Up Your Code with Big O -- Bubble Sort -- Bubble Sort in Action -- Bubble Sort Implemented -- The Efficiency of Bubble Sort -- A Quadratic Problem -- A Linear Solution -- Wrapping Up -- 5. Optimizing Code with and Without Big O -- Selection Sort -- Selection Sort in Action -- Selection Sort Implemented -- The Efficiency of Selection Sort -- Ignoring Constants -- The Role of Big O -- A Practical Example -- Wrapping Up -- 6. Optimizing for Optimistic Scenarios -- Insertion Sort -- Insertion Sort in Action -- Insertion Sort Implemented -- The Efficiency of Insertion Sort -- The Average Case -- A Practical Example -- Wrapping Up -- 7. Blazing Fast Lookup with Hash Tables -- Enter the Hash Table -- Hashing with Hash Functions -- Building a Thesaurus for Fun and Profit, but Mainly Profit -- Dealing with Collisions -- The Great Balancing Act -- Practical Examples -- Wrapping Up -- 8. Crafting Elegant Code with Stacks and Queues -- Stacks -- Stacks in Action -- Queues -- Queues in Action -- Wrapping Up -- 9. Recursively Recurse with Recursion -- Recurse Instead of Loop -- The Base Case -- Reading Recursive Code
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