In this lecture we will cover how to get up and running with Julia<\/a>.<\/p>\n There are a few different options for using Julia, including a local desktop installation and Jupyter<\/a> hosted on the web.<\/p>\n If you have access to a web-based Jupyter and Julia setup, it is typically the most straightforward way to get started.<\/p>\n Like Python<\/a> and R, and unlike products such as Matlab<\/a> and Stata<\/a>, there is a looser connection between Julia as a programming language and Julia as a specific development environment.<\/p>\n While you will eventually use other editors, there are some advantages to starting with the Jupyter environment while learning Julia.<\/p>\n We\u2019ll discuss the workflow on these features in the next lecture.<\/p>\n","protected":false},"excerpt":{"rendered":"A Note on Jupyter<\/h4>\n
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