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Codeless data structures and algorithms : learn DSA without writing a single line of code /
In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but clas...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress L.P.,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Subero, Armstrong. | |
| 245 | 1 | 0 | |a Codeless data structures and algorithms : |b learn DSA without writing a single line of code / |c Armstrong Subero. |
| 260 | |a Berkeley, CA : |b Apress L.P., |c 2020. | ||
| 300 | |a 1 online resource (143 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Part 1: Data Structures -- Chapter 1: Intro to DSA, Types and Big-O -- Chapter 2: Linear Data Structures -- Chapter 3: Tree Data Structures -- Chapter 4: Hash Data Structures -- Chapter 5: Graphs -- Part 2: Algorithms -- Chapter 6: Linear and Binary Search -- Chapter 7: Sorting Algorithms -- Chapter 8: Searching Algorithms -- Chapter 9: Clustering Algorithms -- Chapter 10: Randomness -- Chapter 11: Scheduling Algorithms -- Chapter 12: Algorithm Planning and Design -- Appendix A: Going Further.- | |
| 520 | |a In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data structures (Computer science) | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Subero, Armstrong. |t Codeless Data Structures and Algorithms : Learn DSA Without Writing a Single Line of Code. |d Berkeley, CA : Apress L.P., ©2020 |z 9781484257241 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484257258/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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