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By Bhagvan Kommadi
Learn Data Structures and Algorithms with Golang is a comprehensive guide tailored for Go programmers aiming to master the core concepts of data structures and algorithms. Bhagvan Kommadi provides a practical approach, combining theory with hands-on examples to help readers design, implement, and analyze efficient code in professional settings.
Foundational Concepts:
Introduces the basics of data structures and algorithms, focusing on their implementation in Go.
Wide Range of Data Structures:
Covers arrays, linked lists, stacks, queues, trees, and graphs, demonstrating their use in real-world scenarios.
Algorithm Implementation:
Explains classic algorithms such as sorting, searching, recursion, and hashing, with clear Go code examples.
Performance Analysis:
Guides readers on how to compare algorithm complexity and make informed choices to improve code performance.
Memory Management:
Discusses Go-specific memory management techniques, including garbage collection, to help build efficient applications.
Practical Tutorials:
Each chapter includes hands-on exercises and code samples to reinforce learning and develop practical skills.
Real-World Problem Solving:
Shows how to apply traditional data structures and algorithms to solve common programming challenges.
Section | Topics Covered |
---|---|
Introduction | Data structures, algorithms, complexity, Go language basics |
Linear Data Structures | Arrays, linked lists, stacks, queues |
Non-Linear Data Structures | Trees, binary search trees, graphs |
Classic Algorithms | Sorting, searching, recursion, hashing |
Memory Management | Garbage collection, efficient memory use in Go |
Advanced Topics | Network and sparse matrix representation, pseudocode, performance |
Application and Practice | Real-world coding exercises, whiteboard interview prep |
Go developers looking to deepen their understanding of data structures and algorithms.
Programmers preparing for technical interviews or coding assessments.
Anyone seeking to write more efficient, scalable, and maintainable Go code.
How to select and implement the most suitable data structures and algorithms for different problems.
Techniques for analyzing and improving code performance.
Methods for managing memory efficiently in Go applications.
Strategies for acing whiteboard coding interviews and writing pseudocode.
Common pitfalls in choosing data structures and how to avoid them.
Learn Data Structures and Algorithms with Golang is a practical, example-driven resource that equips Go programmers with the knowledge and skills needed to develop faster, more efficient, and robust applications. By blending foundational theory with hands-on coding, Bhagvan Kommadi helps readers build a strong base for tackling real-world programming challenges.
By Bhagvan Kommadi
Learn Data Structures and Algorithms with Golang is a comprehensive guide tailored for Go programmers aiming to master the core concepts of data structures and algorithms. Bhagvan Kommadi provides a practical approach, combining theory with hands-on examples to help readers design, implement, and analyze efficient code in professional settings.
Foundational Concepts:
Introduces the basics of data structures and algorithms, focusing on their implementation in Go.
Wide Range of Data Structures:
Covers arrays, linked lists, stacks, queues, trees, and graphs, demonstrating their use in real-world scenarios.
Algorithm Implementation:
Explains classic algorithms such as sorting, searching, recursion, and hashing, with clear Go code examples.
Performance Analysis:
Guides readers on how to compare algorithm complexity and make informed choices to improve code performance.
Memory Management:
Discusses Go-specific memory management techniques, including garbage collection, to help build efficient applications.
Practical Tutorials:
Each chapter includes hands-on exercises and code samples to reinforce learning and develop practical skills.
Real-World Problem Solving:
Shows how to apply traditional data structures and algorithms to solve common programming challenges.
Section | Topics Covered |
---|---|
Introduction | Data structures, algorithms, complexity, Go language basics |
Linear Data Structures | Arrays, linked lists, stacks, queues |
Non-Linear Data Structures | Trees, binary search trees, graphs |
Classic Algorithms | Sorting, searching, recursion, hashing |
Memory Management | Garbage collection, efficient memory use in Go |
Advanced Topics | Network and sparse matrix representation, pseudocode, performance |
Application and Practice | Real-world coding exercises, whiteboard interview prep |
Go developers looking to deepen their understanding of data structures and algorithms.
Programmers preparing for technical interviews or coding assessments.
Anyone seeking to write more efficient, scalable, and maintainable Go code.
How to select and implement the most suitable data structures and algorithms for different problems.
Techniques for analyzing and improving code performance.
Methods for managing memory efficiently in Go applications.
Strategies for acing whiteboard coding interviews and writing pseudocode.
Common pitfalls in choosing data structures and how to avoid them.
Learn Data Structures and Algorithms with Golang is a practical, example-driven resource that equips Go programmers with the knowledge and skills needed to develop faster, more efficient, and robust applications. By blending foundational theory with hands-on coding, Bhagvan Kommadi helps readers build a strong base for tackling real-world programming challenges.
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