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Machine Learning with Go Quick Start Guide

You're reading from   Machine Learning with Go Quick Start Guide Hands-on techniques for building supervised and unsupervised machine learning workflows

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838550356
Length 168 pages
Edition 1st Edition
Languages
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Authors (2):
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Michael Bironneau Michael Bironneau
Author Profile Icon Michael Bironneau
Michael Bironneau
Toby Coleman Toby Coleman
Author Profile Icon Toby Coleman
Toby Coleman
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Toc

Installing Go

Development environments are personal. Most developers will prefer one code editor or toolset over another. While we recommend the use of interactive tools such as Jupyter via gophernotes, the only prerequisite to running the code examples in this book is a working installation of Go 1.10 or higher. That is, the go command should be available and the GOPATH environment variable should be set up correctly.

To install Go, download a binary release for your system from https://golang.org/dl/. Then, refer to the one of the following subsections that matches your operating system[2].

If you only want to use gophernotes to run Go code and you intend to use Docker as the installation method, then you can skip this section and go straight to the Running Go interactively with gophernotes section.
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