appreciated this essay about “technical” skills by Sasha Laundy (“If you've ever said "soft skills" and felt weird about it, this essay is for you”) https://sashalaundy.com/writing/technical-skills/
Any Shiny for Python experts out there? I'm starting to play around with it; I've deployed my app to a DigitalOcean droplet running Shiny Server and pointed /etc/shiny-server/shiny-server.conf to a venv I want to use.
That works like a charm, but I'm wondering if I would be able to use multiple environments in case I wanted different apps to use different package/Python versions. Not a deal-breaker (and honestly I don't have a use case right now, but still...)
You can now watch the talk on "The Perfect Python Project" that I gave on Saturday at North Bay Python on YouTube. Please share and enjoy. https://www.youtube.com/watch?v=kcfERM6fcgU
Has anyone got references (or ideas/recommendations) for how to perform #data #augmentation on #scrnaseq data (to use in training #ann)?
This is the only paper I could find, but maybe I am not searching for the right thing...
All over the world, voters should know, that whenever politicians talk about immigrants, it is because they have no solutions to the problems that matter most.
Healthcare crisis in the UK? Talk about immigrants.
Children getting shot because of idiotic gun laws in the US? Talk about immigrants.
"Look over there! Someone is coming too eat you cake!", is the oldest trick in the book, and politicians use it for the sole purpose of moving attention away from their own political incompetence.
A Computational Approach to Interpreting the Embedding Space of Dimension Reduction https://www.biorxiv.org/content/10.1101/2024.06.23.600292v1?med=mas
I've recently picked up this great #book by Cathy O'Neil, "Weapons of Math Destruction"
https://books.google.co.uk/books?id=60n0DAAAQBAJ&newbks=0&printsec=frontcover&pg=PP1
An "old" book (2016) but still extremely if not more relevant than ever.
Andrej Karpathy announced his upcoming LLM course - LLM101n, a few days ago. The course is not available yet, but the course syllabus is available on the course repo:
https://github.com/karpathy/LLM101n
There is no timeline for the release of this new course.
I've been reading again this little gem of a paper
I'm wondering how many results from #scrnaseq experiments are flawed for the reasons highlighted in there.
Ok kids, here we go:
#Bandwagon, the open #Fediverse alternative to #Bandcamp is ready for its first steps into the light.
I have a waitlist online at
https://bandwagon.fm if you'd like to try it out.
I'm planning to build the first (dozen? I don't know) profiles in the waitlist personally, with an email questionnaire and FaceTime follow-ups if necessary.
Once I'm confident in the UX, we'll open up self-serve signups for everyone.
@scottwilson @b0rk I remember when people who wrote in Visual Basic were scoffed at but there was a lot of industry-specific software written by subject matter experts that wouldn't have been written at all without access to easy-to-learn and understand languages.
If you are drafting figures for a scientific paper or presentation, remember that https://scidraw.io/ exists: a repository of free SVG cartoons for science.
#SciDraw is supported by the Sainsbury Wellcome Centre.
All content on SciDraw is shared under creative commons license (CC-BY) unless stated otherwise.
Vaults are the most mysterious things inside the cell. This profile of Leonard Rome - the Vault Guy - is fascinating.
Check it out, the #Shiny extension for #VSCode now supports both Shiny for R apps *and* Shiny for Python apps in everyone's second favorite IDE!
Along with the updates come a few neat features for deploying your Shiny apps as serverless ShinyLive apps using https://shinylive.io, or for saving a ShinyLive app as local #RStats or #Python files.
Learn more and see the extension in action in our release post: https://shiny.posit.co/blog/posts/shiny-vscode-1.0.0/
I collected all my writing on PCA into a free long-form math book.
https://peterbloem.nl/publications/unraveling-pca
It's called "Unraveling principal component analysis" and it contains a narrative explanation of PCA all the way down to the foundations.
That means it discusses eigenvectors, singular value decompositions, the spectral theorem, low-rank decompositions and much more.
Senior lecturer at the Zhejiang-Edinburgh Joint Institute (ZJE) and Edinburgh University.
Undergraduate Programme Coordinator, Biomedical Informatics at ZJE.
I teach #imageanalysis & #dataanalysis with #RStats & #python. I study #heterogeneity in #pituitary (and other) cells.
I'm also very interested in #reproducibility and #openscience.