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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.
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.
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 192 |
| ISBN-13: | 9781774859056 |
| ISBN-10: | 177485905X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Pouros, Korbin |
| Hersteller: | Oliver Leish |
| Maße: | 203 x 127 x 11 mm |
| Von/Mit: | Korbin Pouros |
| Erscheinungsdatum: | 10.10.2022 |
| Gewicht: | 0,213 kg |
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 192 |
| ISBN-13: | 9781774859056 |
| ISBN-10: | 177485905X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Pouros, Korbin |
| Hersteller: | Oliver Leish |
| Maße: | 203 x 127 x 11 mm |
| Von/Mit: | Korbin Pouros |
| Erscheinungsdatum: | 10.10.2022 |
| Gewicht: | 0,213 kg |
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