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Learn Data Structures and Algorithms with Golang: Level up your Go programming skills to develop faster and more efficient code

Bhagvan Kommadi

€17.99 ~~€26.99~~

2.6 (10 Ratings)

eBook Mar 2019 336 pages 1st Edition

Bhagvan Kommadi

€17.99 ~~€26.99~~

2.6 (10 Ratings)

eBook Mar 2019 336 pages 1st Edition

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Key benefits

Learn the basics of data structures and algorithms and implement them efficiently
Use data structures such as arrays, stacks, trees, lists and graphs in real-world scenarios
Compare the complexity of different algorithms and data structures for improved code performance

Description

Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.

Who is this book for?

This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.

What you will learn

Improve application performance using the most suitable data structure and algorithm
Explore the wide range of classic algorithms such as recursion and hashing algorithms
Work with algorithms such as garbage collection for efficient memory management
Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solving
Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews
Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Mar 30, 2019

Length: 336 pages

Edition : 1st

Language : English

ISBN-13 : 9781789618419

Category :

Programming

Languages :

Concepts :

Data Structures and Algorithms

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15 Chapters

Section 1: Introduction to Data Structures and Algorithms and the Go Language

Data Structures and Algorithms

Technical requirements

Classification of data structures and structural design patterns

Representation of algorithms

Complexity and performance analysis

Brute force algorithms

Divide and conquer algorithms

Backtracking algorithms

Summary

Questions and exercises

Further reading

Getting Started with Go for Data Structures and Algorithms

Technical requirements

Arrays

Slices

Two-dimensional slices

Section 2: Basic Data Structures and Algorithms using Go

Linear Data Structures

Technical requirements

Non-Linear Data Structures

Technical requirements

Homogeneous Data Structures

Technical requirements

Two-dimensional arrays

Multi-dimensional arrays

Summary

Questions

Further reading

Heterogeneous Data Structures

Technical requirements

Dynamic Data Structures

Technical requirements

Classic Algorithms

Technical requirements

Section 3: Advanced Data Structures and Algorithms using Go

Network and Sparse Matrix Representation

Technical requirements

Network representation using graphs

Sparse matrix representation using a list of lists

Summary

Questions

Further reading

Memory Management

Technical requirements

Garbage collection

Cache management

Space allocation

Concepts – Go memory management

Summary

Questions

Further reading

Next Steps

Technical requirements

Learning outcomes

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About the author

Bhagvan Kommadi

Bhagvan Kommadi, Founder, Architect Corner has around 18 years experience in the industry ranging from large-scale enterprise development to incubating software product startups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is currently working as CTO of Crystal Delta Solutions. He is the member of IFX forum and an Individual member of Oracle JCP. He has developed Go language based blockchain solutions in retail, education, banking, and financial services sectors. These blockchain solutions were based on Chain Core (Go language based), Ethereum and Hyperledger blockchain platforms. He has experience in building high transactional applications using Java, C, C++, C#, Python, Go, Ruby and JavaScript frameworks. He has reviewed books such as Beyond Software Architecture-Creating and sustaining winning solutions by Luke Hohmann and Algorithms of the intelligent Web by Dr. Haralambos (Babis) Marmanis.

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Learn Data Structures and Algorithms with Golang: Level up your Go programming skills to develop faster and more efficient code

What do you get with eBook?