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ryando

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ryando
·5 वर्ष पहले·discuss
Those videos completely changed the way I drain pasta noodles, from dumping them into a strainer over the sink and losing all the starchy water to scooping them out with a spider and dropping them directly into the saucepan. Seriously upped my pasta game.
ryando
·5 वर्ष पहले·discuss
The article reminds me of the "Yes, and..." rule from improv comedy. In replying to someone else's proposal, creating a habit of literally starting your sentence with "Yes, and..." is a way to build collaboration skills.
ryando
·5 वर्ष पहले·discuss
Agree with this. Nvim-R plus dplyr and the plotting libraries are the best tools I've found for manipulating and understanding the characteristics of a dataset quickly. Eventually I moved to Python for the specific reason that the R packages for interacting with cloud platforms couldn't really keep up with the development of those platforms, and I got tired of having projects that mashed together both languages. I haven't checked, maybe things have stabilized enough now that I would be happy going back to R.
ryando
·5 वर्ष पहले·discuss
As an American in Germany trying to speak German, I've made some effort to hide my accent. But then I think about Arnold and Werner Herzog. Would they be who they are without their accents in English? Then again, no one here has ever mocked the way I speak.
ryando
·5 वर्ष पहले·discuss
I'm building a simple replacement for Apache Airflow to manage some small data pipeline projects: https://github.com/fieldryand/goflow. Airflow started to feel too heavyweight for these projects where all the computation was offloaded to independent services. I wanted a solution with minimal memory requirements to save costs and avoid the occasional high memory usage/leak issues I was facing with Airflow. I know there are tons of existing solutions in this space, but nothing I found seem to match the Airflow features I needed, so I decided to build it myself. It's been a great way to learn Go.