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Codeless Data Structures And Algorithms de Subero, Armstrong Format Broché

Codeless Data Structures and Algorithms - Subero, Armstrong

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      Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484257241_dbm

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          Avis sur Codeless Data Structures And Algorithms de Subero, Armstrong Format Broché  - Livre Informatique

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          Présentation Codeless Data Structures And Algorithms de Subero, Armstrong Format Broché

           - Livre Informatique

          Livre Informatique - Subero, Armstrong - 01/02/2020 - Broché - Langue : Anglais

          . .

        • Auteur(s) : Subero, Armstrong
        • Editeur : Apress L.P.
        • Langue : Anglais
        • Parution : 01/02/2020
        • Format : Moyen, de 350g à 1kg
        • Nombre de pages : 160
        • Expédition : 254
        • Dimensions : 23.5 x 15.5 x 0.9
        • ISBN : 9781484257241



          • Résumé :

          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.
          What You'll Learn
          Understand tree data structures without delving into unnecessary details or going into too much theory Get started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues
          Who This Book Is For
          This book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don't want to wade through unnecessary details about quirks of a programming language or don't have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work.

          Biographie:
          Armstrong Subero started learning electronics at the age of 8. From then on he got into programming and embedded systems development. Within the realm of programming, he has a special interest in algorithms and data structures and enjoys implementing them in different programming languages and on different processor architectures, particularly resource-constrained systems. He currently works at the Ministry of National Security in his country and he has degrees in computer science as well as liberal arts and sciences from Thomas Edison State University. He is the author of Programming PIC Microcontrollers in XC8 (Apress, 2018). ...

          Sommaire:

          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 youcan 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.
          What You'll Learn
          Understand tree data structures without delving into unnecessary details or going into too much theory Get started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues
          Who This Book IsFor
          This book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don't want to wade through unnecessary details about quirks of a programming language or don't have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work.
          ...

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