Book Image

Learning Functional Programming in Go

By : Lex Sheehan
Book Image

Learning Functional Programming in Go

By: Lex Sheehan

Overview of this book

Lex Sheehan begins slowly, using easy-to-understand illustrations and working Go code to teach core functional programming (FP) principles such as referential transparency, laziness, recursion, currying, and chaining continuations. This book is a tutorial for programmers looking to learn FP and apply it to write better code. Lex guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. The book is divided into four modules. The first module explains the functional style of programming: pure functional programming, manipulating collections, and using higher-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, increase performance, and build better cloud-native applications. The last module covers Category Theory, Functors, Monoids, Monads, Type classes and Generics. By the end of the book, you will be adept at building applications the FP way.
Table of Contents (21 chapters)
Title Page
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Big data, knowledge-driven development, and data visualization


Big data implies there's a lot of data. When there is a lot of data, it becomes difficult to find meaning. The category theory helps us to remove the unimportant details and see the meaningful information that is there waiting to be discovered.

Data visualization

How can we apply what we've learned in the real world?

Composition sounds great but how can we go from this:

And an I/O Monad:

To something useful.

We can read data from server logs and integrate a graphical user interface (GUI) that renders a presentation that our users can view and derive an understanding from the data that is presented in a meaningful way.

What if our data had a corresponding schema?

Can we generalize the presentation of the data to different layouts? For example, spreadsheet programs allow their users to display different types of graphs based on the same set of rows and columns (pie charts, bar charts, and so on). If we can do that, then the following is...