Closed sgibson91 closed 4 years ago
@xorJane would be a fabulous resource for information about Julia.
@fperez may know others in the Jupyter world who work with Julia. @davidanthoff has been very helpful with Julia and nteract examples/feedback.
For R @cvitolo would be a person to meet.
I’d be happy to be a contact on the Julia side. I won’t have time to do any actual work :) But happy to answer questions etc.
Thank you all! @davidanthoff I'll definitely let you know if I run into anything strange :)
@ots22 is interested on working on the Julia version. We'll have another discussion in early March once our calendars have eased off.
@annakrystalli interested in working on the R version. To be done in April.
Issue: https://github.com/alan-turing-institute/the-turing-way/issues/952 PR: https://github.com/alan-turing-institute/the-turing-way/pull/959
R version of Zero-to-Binder! https://github.com/alan-turing-institute/the-turing-way/pull/1139
Update: The R version is now complete! https://bit.ly/zero-to-binder-r
Hey @davidanthoff 👋 I wonder if you could help me re-word the below paragraph to be more relevant to Julia? Thanks!
More on pinning dependencies
In the above example, we used two equals signs (
==
) to pin the version ofnumpy
. This tells Binder to install that specific version.Another way to pin a version number is to use the greater than or equal to sign (
>=
) to allow any version above a particular one to be installed. This is useful when you have a lot of dependencies that may have dependencies on each other and allows Binder to find a configuration of your dependencies that do not conflict with one another whilst avoiding any earlier versions which may break or change your code.Finally, you could not provide a version number at all (just the name of the library/package) and Binder will install the latest version of that package.
N.B.: These operations to pin dependencies are most likely specific to Python. Each language has it's own quirks and a link to the different types of configuration files (which is what
requirements.txt
is) is given at the bottom of this document.
So the general idea for Julia is that you put a Project.toml
and Manifest.toml
in the root of your github repo. You typically don't create them by hand, but use the built-in package manager to create them (docs for that are here). The combination of Project.toml
and Manifest.toml
pins every package to a specific version, so when binder starts up, you'll get an exact replication of the package versions that were originally used, including all dependencies of dependencies etc.
And Julia is now done! http://bit.ly/zero-to-binder-julia 🎉 Thanks everybody!
Summary
This issue will track the conversion of the Zero-to-Binder into Julia and R so that there is a Binder introductory resource for all three languages.
What needs to be done?
install.R
versusNAMESPACE
andDESCRIPTION
Who can help?