Week 1: Intro

General introduction

• Intro slides

Julia + Pluto installation

Almost all course material will be provided in form of Pluto notebooks which you can run on your computer. Here is the recipe to install Julia and Pluto. See also the Pluto homepage.

• Preferably, use Chrome or Firefox as browsers

• Download and install Julia julia 1.11

• juliaup provides a flexible way to install Julia and to switch between versions

• Invoke Julia and issue the following commands:

using Pkg
Pkg.add("Pluto")
using Pluto
Pluto.run()

As a result, you should see the "welcome to Pluto.jl" page in your browser. You can paste the notebook links from this course directly into the "Open from file" input box.

Some Julia resources

• My collection of introductory material

• TU Berlin course "Julia Programming for Machine Learning" course material by Adrian Hill

First contact: Julia & Pluto

• General information on Julia and Pluto notebooks

• Pluto notebook: pluto/julia, html, pdf

Julia Basics

• Number types, control structures, functions ...

• Pluto notebook: pluto/julia, html, pdf

Last year's lecture recordings:

For this year I slightly re-arranged the introductory stuff. I link the old notebooks below.

• First contact: Pluto

  • Pluto notebook updated for Julia 1.11,

• First contact: Julia

  • Pluto notebook updated for Julia 1.11,