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
IsForThis 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.
