Grokking Algorithms : Tips and Tricks of Grokking Functional Programming (Simple and Effective Methods to Grokking Deep Learning)

Korbin Pouros

ISBN 10: 177485905X / ISBN 13: 9781774859056

Published by Oliver Leish, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Everything you need to know about functional programming all in one place!Granted, functional programming takes a little more learning than traditional programming, but it isn't as hard as you might think. This book is written in easy-to-understand language, with plenty of simple examples to explain the main functional programming concepts and lots of code examples to show you how it all works. In this book, you will:Learn the different types of algorithms and how they work Learn about the practical uses of algorithms Get background knowledge about algorithms with concrete examples Master selection sort and recursion Discover quicksort with real-life examples Learn about hashtags and why they are useful Discover breadth-first search and dijkstra's algorithm Master dynamic programming Algorithms are not the easiest part of data science to learn, but they don't have to be hard. This book shows you how they work by using real-world problems to demonstrate them. It starts off nice and easy, gradually building into more complex subjects as you begin to see everything you face daily in terms of an algorithm. I've provided plenty of examples and code for you to work through and lots of different subjects to tempt and excite you.

Seller Inventory # 9781774859056

Bibliographic Details

• Title: Grokking Algorithms : Tips and Tricks of Grokking Functional Programming (Simple and Effective Methods to Grokking Deep Learning)
• Publisher: Oliver Leish
• Publication Date: 2022
• Language: English
• ISBN 10: 177485905X
• ISBN 13: 9781774859056
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Everything you need to know about functional programming all in one place!

Granted, functional programming takes a little more learning than traditional programming, but it isn't as hard as you might think.

This book is written in easy-to-understand language, with plenty of simple examples to explain the main functional programming concepts and lots of code examples to show you how it all works.

In this book, you will:

• Learn the different types of algorithms and how they work
• Learn about the practical uses of algorithms
• Get background knowledge about algorithms with concrete examples
• Master selection sort and recursion
• Discover quicksort with real-life examples
• Learn about hashtags and why they are useful
• Discover breadth-first search and dijkstra's algorithm
• Master dynamic programming

Algorithms are not the easiest part of data science to learn, but they don't have to be hard. This book shows you how they work by using real-world problems to demonstrate them. It starts off nice and easy, gradually building into more complex subjects as you begin to see everything you face daily in terms of an algorithm. I've provided plenty of examples and code for you to work through and lots of different subjects to tempt and excite you.