Codeless Data Structures and Algorithms : Learn DSA Without Writing a Single Line of Code / by Armstrong Subero.

Format:

Book

Author/Creator:

Subero, Armstrong., Author.

Language:

English

Subjects (All):

Algorithms.

Artificial intelligence--Data processing.

Artificial intelligence.

Coding theory.

Information theory.

Big data.

Quantitative research.

Data mining.

Data Science.

Coding and Information Theory.

Big Data.

Data Analysis and Big Data.

Data Mining and Knowledge Discovery.

Local Subjects:

Algorithms.

Data Science.

Coding and Information Theory.

Big Data.

Data Analysis and Big Data.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XIII, 146 p. 108 illus.)

Edition:

1st ed. 2020.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2020.

System Details:

text file

Summary:

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.

Contents:

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.

Notes:

Includes index.

Includes bibliographical references.

ISBN:

9781484257258

1484257251

OCLC:

1176246190