Clojure for Data Science
25 recipes to deeply understand and implement advanced algorithms in Clojure
25 recipes to deeply understand and implement advanced algorithms in Clojure
This book is for intermediate Clojure developers who can read and write in this language quite comfortably. Besides, it is assumed that you have some knowledge of how to set up Clojure projects, include dependencies, how to run REPLs, and so on through Leiningen and Figwheel. No prior awareness of any of the algorithms covered in this book is needed, and, when appropriate, pointers are given to the explanation material about any theory related to them.
Clojure is a highly pragmatic language with efficient and easy data manipulation capabilities. This provides us with an opportunity to easily explore many challenging and varied algorithmic topics, while using some extremely creative methods.
In this book, we'll discover alternative uses for classical data structures (arrays, linked lists, and trees), cover some machine learning and optimization techniques, and even delve into some innovative ways of approaching algorithmic problem solving, such as logic programming, asynchronous programming or the usage of advanced functional constructs, namely transducers or the continuation passing style.
Country | USA |
Brand | Packt Publishing |
Manufacturer | Packt Pub Ltd |
Binding | Paperback |
ReleaseDate | 2015-08-19 |
UnitCount | 1 |
EANs | 9781785281457 |