Is it better to have multiple python lists or one giant list with multiple lists embedded? Taking from perspective of speed and ram/CPU usage. #python#programming#code#coding
Where would you share code (R/quarto) underlying analyses in a research manuscript?
I was thinking Zenodo as I planned to host the non-sequencing data there. I saw that Zenodo interfaces with GitHub, which many papers use to host their code and which the publisher guide lists first. Any benefit to also putting the code on GitHub (I didn’t use git for version control & the code is only useful for reproducing the analyses, not itself innovative)?
I played a little with Niagara and Ribbon, made a draft of a visual scanner. Some objects will have entry zone for scanner launch, the particles get a link to the static mesh for random end points
Fmr #Trump treas sec #Mnuchin is telling investors he has a plan to buy #TikTok
Mnuchin told potential backers he aims to maneuver around its price of >$100B & #China’s ban of the export of recommendation #algorithms.
He indicated he could overcome those hurdles by offering to buy the #app w/o the export-blocked #code, essentially forcing his consortium to remake a service built on billions of lines of code.
"Coccinelle is a tool for automatic program matching and transformation that was originally developed for making large scale changes to the Linux kernel source #code (ie, C code)."
I was trying out JetBrains Rider again...
→ is an IDE, so primarily for looking at text
→ no support for BGR subpixel rendering, RGB only
→ no support for bitmap fonts
→ no way to adjust the font or the size of inlay hints
How can an IDE have such shitty text rendering? I don't want my code to look blurry.
Note: Visual Studio isn't any better, but VS Code is.
I have three public domain texts that I use to stress test my @novelwriter app. They are "A Tale of Two Cities", "Moby Dick", and "The King James Bible". The latter is particularly useful because it's longer that pretty much any novel out there.
I'm currently adding a tool to do global searches, and I'm stress testing by searching for all the spaces in the bible. It takes about 13 seconds, which isn't too bad, considering it's a Python GUI app!
Folks, we are getting close to releasing the scientific paper on my #Code Review Anxiety research and I am so so excited to share this with the world. From a methods perspective, I'm extremely proud that we used clinical research methods and standards to explore intervention targets, then develop and assess the outcomes of an evidence-based code review anxiety intervention.
From a clinical perspective, I am always just overjoyed to bring an empirical understanding of anxiety to new spaces. #Code review anxiety is real. It matters. It affects #developers across identities and experience levels. And we can do something about it. Stay tuned for the full report!