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2018-09-28
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- # 100-days-of-code (10)
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Bore da pawb
@otfrom saw your tweet on magit todo's - might give that a look when I have a moment
morning!
måning
the code he is commenting on is handy too as you can create a http://todo.org in a repo and have the todos show up in the magit status. Having both would allow you to do both.
@lady3janepl skip the coffee... go directly for something stronger 😉
at my friend's work somebody got a production key and bricked 400 servers earlier this week
Guys, if you were to run an experiment with a web crawler and sentiment analysis of the dl’d articles, where would you run it?
or worse... someone dies as a result of something like that ( not impossible if it would be at a hospital)
in the cloud @lady3janepl
I could poke one of those guys that write comparisons of language popularity on GitHub I think
I’d like to see if it’s possible to compare languages and such by how popular/positively treated they seem to be when people talk about them, rather than how much in use they are.
(Cue “everything hovers around 0” due to symmetry of likes/dislikes in internet wars I guess XD )
@lady3janepl serverless for the crawl, something like parquet/S3 for the storage, some kind of cheap dedicated instance for the rest
Just a wild guess at what might be a cheap/fun way to do it :)
I feel like I saw something recently saying it might be cheaper to just buy the hardware yourself than rent GPUs in the cloud - but I didn’t read the article and can’t find it now
@lady3janepl https://clojurians.slack.com/archives/C064BA6G2/p1538124031000100 I have a spare machine hanging around for this kind of thing.
yes - obviously if you’re just dabbling, it will be cheaper to rent in the cloud for a few hours than buying a new machine up front
I would, if I did this sort of thing regularly, but I was wondering if there was an equivalent of “cheapo for open source / amateurs”
I suspect it depends hugely on what problem you’re tackling - if you’re using a pre-trained network to analyse new data then it will be a very different scenario to if you’re training a model yourself
AWS do sentiment analysis as a service now (https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html)
you get some usage on the free tier too with AWS (https://aws.amazon.com/comprehend/pricing/)
(if you were following the conversation in #jobs-discuss we talked about anonymising CVs among other things; first I wanted to write that, then I wondered whether I could colour-code anonymised technologies depending on their relative popularity)
(but how to determine whether a technology is “popular”? I could hardcode it, or I could actually check it, thus wondering about what the options are)
ask the people?
I wonder how researchers check things like preconceptions (positive or negative) in a reliable way (given that people reporting they like or dislike something do it partly because they are expected to express likes/dislikes, so it’s not wholly accurate.)
@lady3janepl re: > I would, if I did this sort of thing regularly, but I was wondering if there was an equivalent of “cheapo for open source / amateurs” Databricks (i.e. hosted Apache Spark) has a community edition on AWS
you get 4 nodes for free IIRC
I have an account & use it to test scala notebooks
one of my bosses from my work might be talking so hoping to swing a freebie
let me know if you do, will come over to say hi - I just found out that I’m going along with one more guy from work
nice! I will do
oh it's next week?! okay, maybe not then lol
but yeah it looks like the head of data eng from my place is speaking
I should not have gone to the Jura stand of Mancs Food Festival after Whisky Club last night...
I'm not sure the whisky was supposed to be free. Other people seemed to be handing over some sort of token in exchange for a small taster dram
We turned up a bit en masse, asked what they had got and if any of it was any good, and they just started pouring
unrelated to engineering, but you might find it useful if you’ve not a regular Londoner; it’s certainly given me a lot of ideas of what to do on weekends 🙂
(a giant map of “if you liked this popular thing, here are other things of the same category which are less well known”)
so as I was sitting here reviewing notes on an interview candidate I had an 'aha' moment where the lambda calculus finally clicked
In lisp code that evaluates, there is always the right number of parentheses 🙂
funny how these things happen
my subconscious has probably been chewing that one ever since I read Tom Stuart's Understanding Computation back in 2015