Haskell training: 101 and 102.
This repository contains the source for the slides and the exercises used in the Haskell trainings at Google. Haskell is not one of the internally "blessed" languages, but a dedicated team of volunteers is making use of 20% time to try to make Haskell at Google possible! This set of lessons was created in 2016, to allow newcomers to the language to get involved with the team.
Slides
The slides use LaTeX. Simply run make to create the PDFs, assuming you have
all the required dependencies.
You need xelatex and the Yanone
Kaffeesatz fonts installed on your
machine.
On an Ubuntu system, you can get all of these by running
sudo apt-get install texlive-xetex texlive-fonts-extra fonts-yanone-kaffeesatz
Exercises
The codelabs only require ghc to be installed and in the path as well as one of
Stack or Cabal. Step-by-step instructions will be provided to guide you through
the installation process, at the point where these tools will be necessary.
In case you already have them installed, running make in each codelab
directory will identify which of the tool is installed and use that to build
the exercises as well as run the test.
There is also a possiblity to run the codelabs using Docker. See the instructions in the codelab directories.
To solve an exercise, you need to replace codelab with the actual
implementation. For the 101 course, each different codelab directory (except
00_setup which is only used to test installation) has a src/Codelab.hs where
you would need to do the exercises. For the 102 course, all the exercises are in
the same directory in multiple files, given that we are building a full project.
Consult the slides for instructions on how to run each codelab.
We also provide solutions, in the same directory as the corresponding exercise.
Recordings
Public recordings of the training (in an old format) are available: Haskell 101, Haskell 102.
Release
See the releases to download the generated PDFs and the codelabs.
Warning
This code is presented as-is, without the speaker notes. This is not an officially supported Google product.