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Learn Data Structures and Algorithms with Golang: Level up your Go programming skills to develop faster and more efficient code
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Improve application performance using the most suitable data structure and algorithm
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Produktdetails
- Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional settingKey FeaturesLearn 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 performanceBook DescriptionGolang 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.What you will learnImprove 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 efficiencyWho this book is forThis 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.Table of ContentsData Structures & AlgorithmsGetting Started with Go for Data Structures & AlgorithmsLinear Data StructuresNon Linear Data StructuresHomogeneous Data StructuresHeterogeneous Data StructuresDynamic Data StructuresClassic AlgorithmsNetwork and Sparse Matrix RepresentationMemory ManagementNext Steps (Appendix)
| Publisher | Packt Publishing |
| Publication date | 30 Mar. 2019 |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1789618509 |
| ISBN-13 | 978-1789618501 |
| Item weight | 576 g |
| Dimensions | 19.05 x 1.93 x 23.5 cm |
Für wen ist das Produkt geeignet?
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Go Beginners
Individuals new to Go programming who want to understand foundational concepts in data structures and algorithms.
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Intermediate Developers
Developers familiar with Go who wish to enhance their coding efficiency and performance using advanced techniques.
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Computer Science Students
Students looking for practical applications of data structures and algorithms in a real-world programming scenario.
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Complete Newbies
Individuals with no programming experience may find this book difficult to understand and follow.
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Introduction Editorial Review
**Editorial Review of "Learn Data Structures and Algorithms with Golang"** The book "Learn Data Structures and Algorithms with Golang" has garnered a mixed reception from readers, highlighting various concerns that significantly diminish its value. While some users find it beneficial as a starting point for those new to Go, particularly for explaining design patterns and idiomatic styles, many others express frustration over the book's execution and content accuracy. Critics point out several formatting issues that impede readability, such as inConsistent code presentation, odd use of quotation marks, and errors in indentation. These inConsistencies make it difficult for readers to reliably follow the examples provided. Furthermore, the book has been criticized for its use of terminology that is not standard within the Go programming community, including references to "classes" and "private" attributes, which can mislead beginners and potentially damage their understanding of the language. Moreover, the content organization leaves much to be desired, with several reviewers noting that the explanations are brief to the point of being vague, and that complex ideas are poorly articulated. Descriptions often lack the clarity needed for deeper understanding, making the book more of a cursory glance at data structures and algorithms than a comprehensive guide. For seasoned programmers or those already familiar with the basics, the book appears to offer little new insight, rendering it more suitable for absolute beginners. In summary, while some readers have found "Learn Data Structures and Algorithms with Golang" to be a helpful introduction to Go, the overwhelming feedback points to significant content and presentation shortcomings that detract from its overall effectiveness. **
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Vorteile
- May be beneficial for absolute beginners learning Go.
- Some readers appreciate the explanations of design patterns and idiomatic styles.
Nachteile
- Major formatting inConsistencies; unformatted code and erratic indentation.
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Merkmale und Vorteile
- Learn data structures and algorithms with Go
- Implement sorting and searching algorithms
- Improve application performance by using suitable data structures and algorithms
- Discover techniques for writing pseudocode algorithm
- Explore the wide range of classic algorithms such as recursion and hashing algorithms
- For developers who want to select the best data structures and algorithms for problem solving
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