The Doctor Who CompanionPete McTighe Addresses Rumours About Becoming the Next Doctor Who Showrunner
The Film CanaryToday the #KerblamMan delivered this fine graphic novel murder mystery in the world of cryptids by Paul Cornell and Rachael Smith... A Kaijudunnit if you will.
If you want it, #Kerblam it!
#AHappyThingADay Today the #KerblamMan delivered a new release from Arrow Video, a pair of Danish thrillers I have been meaning to see for a while... which also contained a hint of something else coming I am VERY keen to pick up.
If you want it, #Kerblam it!
#AHappyThingADay Today the #KerblamMan delivered a new 4K edition of an old favourite, remastered by those lovely folks at Vinegar Syndrome. Going to enjoy this, more than likely with Kim Newman's commentary a little later in the year.
If you want it, #Kerblam it!
Luca VisentinI've updated Kerblam! to v1.2.0!
Some new features, some new bugfixes, all in time for the holidays!
To fix an issue I did a huge refactoring of #kerblam and now the code is so much nicer.
Shoutout to #rust for simply *working* after all the imports were fixed. The moment the compiler was happy all tests just magically passed with no problems. I moved basically everything around, and the fact that nothing broke is incredible.
The preprint for #kerblam is online at https://doi.org/10.48550/arXiv.2410.10513
If anyone would like to #peerreview us I'd love any feedback before we send it to some journal or other.
We talk about the structure of #dataanalysis projects, #FAIR, #OpenScience, #reproducibility and all the good stuff.
If you *do* have comments, you can contact me on here, or just anywhere (check my bio).
Thanks!
Structuring data analysis projects in the Open Science era with Kerblam!
Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. In this work, we look at the structure of several data analysis project templates and find little structural overlap. We highlight the parts that are similar between them, and propose guiding principles to keep in mind when one wishes to create a new data analysis project. Finally, we present Kerblam!, a project management tool that can expedite project data management, execution of workflow managers, and sharing of the resulting workflow and analysis outputs. We hope that, by following these principles and using Kerblam!, the landscape of data analysis projects can become more transparent, understandable, and ultimately useful to the wider community.
#kerblam hit 10 stars on Github baby! I'm basically famous. Please, hold your applause.
I don't want to brag, and this account is basically ads for Kerblam, but I did a differential expression analysis for some colleagues in like an hour today using it. New project, done, fetch data, done, write tiny r script, done, docker container for the dependencies, then just kerblam run, data package and export the pipeline with one command.
I must say, I'm very pleased with myself.
Kerblam! version 1.0.0 is finally out!
If you don't already know from my infinite nagging, Kerblam! is a project manager, dealing with organising your data analysis project's filesystem, input/output/intermediate data and workflows. It also helps when sharing your work with others.
Check out https://kerblam.dev/ to get started!
Kerblam is FOSS and open to contributions: https://github.com/MrHedmad/kerblam
#kerblam #DataAnalytics #rustlang #productivity #DoctorWho (Heh)