Also, "knowledge assimilation stack"? Surely there is a less pretentious name for this.
Also, "knowledge assimilation stack"? Surely there is a less pretentious name for this.
> Also, "knowledge assimilation stack"? Surely there is a less pretentious name for this.
These are my reasoning behind the title, If you have better suggestions let me know.
Knowledge: Since there is difference between comments which have information vs comments which have knowledge from experience. Since I wish to save and recall the latter it's knowledge.
Assimilation: an act, process, or instance of assimilating, Assimilate: to learn (something) so that it is fully understood and can be used[1].
Stack: A common term (loosely based on data structures) used to define combination of software technologies used in an architecture to solve a problem.
[1] https://www.merriam-webster.com/dictionary/assimilate#h1
We just call this “note taking” in college
Note-taking is just one aspect of the entire process, I even have a sub-heading for that. Calling the entire process just that doesn't do justice to it.
As for the title of the post... As Kevin Malone famously put it, "Me think, why waste time say lot word, when few word do trick".
The scene from The Office was ironic. ;)
Just from the top of my mind, aviation related comments have been useful. One of the recent flexport threads had a comment that linked to a YT video about the flexport guy (CEO).
These comments about MRI are basically invaluable:
https://news.ycombinator.com/item?id=29064223
https://news.ycombinator.com/item?id=29064222
The recent Zillow fuckup thread had a few quant traders comment that I found interesting.
This comment about Oracle DB: https://news.ycombinator.com/item?id=18442941
This comment about Newcomb's paradox: https://news.ycombinator.com/item?id=28589691
I run a small agency so it’s usually around estimating/planning, why people don’t like their job, libraries to improve dev workflow, product dev, etc.
For a concrete example, how pretentious was Wes Mckinney to build Pandas?
Podcast story: https://www.datacamp.com/community/blog/data-science-tool-bu...