nikhilsimha

11 ms·

61.
by nikhilsimha 4y ago
One invaluable hack I found is to use ad block to block the recommendation section of landing page. That way I don’t habit jump into a YouTube marathon but still search for specific topics when I need to. I do that with hacker news too.
62.
by nikhilsimha 4y ago
I am not a fan of case insensitivity either. But it must be easy to write a case insensitive grep. I wager that a nim grep would already exist. I do agree that this is a red flag decision.
63.
by nikhilsimha 4y ago
This gives me hope for webdev. Long time infra guy who dreads any front end work with the other frameworks.
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by nikhilsimha 4y ago
That logic didn’t apply to tulip bulbs
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by nikhilsimha 5y ago
> the best coder I ever hired taught herself to code while getting off heroin in a Glasgow slum Those words bust the biggest bias I realized I had/have - against addicts. Thank you very much!
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by nikhilsimha 5y ago
I used to lead teams that owned message bus, a stream processing framework and a distributed scheduler (like k8s) at Facebook. The oncall was brutal. At some point I thought I should work on something else, perhaps even switch careers entir
67.
by nikhilsimha 5y ago
Won't the functional variant read better than the SQL dialect movie_reviews .filter(_.actor.name.lowercase() == "Zendaya") .groupBy(_.title, _.credit_order, avg(_.ratings)) .sortBy(_.credit_order) .take(5)
68.
by nikhilsimha 5y ago
You are right. 4.63 million eps. My bad.
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by nikhilsimha 5y ago
Impressive, but I don't get why folks don't normalize it to events per second instead. It is 463k eps for anyone wondering.
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by nikhilsimha 5y ago
I read the last sentence as "Just my 2°C". I blame it on the over use of 2°C in all these reports.
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by nikhilsimha 5y ago
I contend that you are not a denier. If you are convinced that there is an abnormal trend, caused by human activity, but are not too concerned with the trend - you are simply not an alarmist. I too, wouldn't be concerned if cherry blos
72.
by nikhilsimha 5y ago
The implicit assumption you are making is that the demand increases in lock step with productivity gains. 100x faster drug discovery, 100x more drugs need to be discovered => same number of people employed. These correlations do hold
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by nikhilsimha 5y ago
[prioritization] Effective engineer - lau [systems] Designing data intensive applications - kleppman [programming] SICP - sussman & abelson Last one is an old scheme book. No other book (that I read) can even hold a candle to this one,
74.
by nikhilsimha 5y ago
While we are at it, why not declare national emergency, and implement a one child policy in the high per-capita carbon emitters? Like Australia and US? Somalia - 0.1 Metric ton of CO2 per person per year US - 15 Metric ton of CO2 PPPY
75.
by nikhilsimha 5y ago
This blew my mind. Mostly because I haven't come across this during 8 years of c++ use for professional/competitive programming.
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by nikhilsimha 6y ago
Always love it when I see a maintainer offer clarifications in a HN comment section! <3 What are the reasons for the perf improvements we see here?
77.
by nikhilsimha 6y ago
Observed the same thing on Hindu idols in Telangana as a child. My dad had a pretty simple guess/answer. The nose is simply the most common point of impact when you strike a face from up-front(human or idol). A face is probably likely
78.
by nikhilsimha 6y ago
Since we(comments and PG) are all peddling anecdotes.. IME, the dynamics in Indian schools, are polar opposite to the ones described here. "Nerds" tend to do well in both academics and extracurriculars. And in the majority case ca
79.
by nikhilsimha 6y ago
Windowed aggregation is a common problem in feature engineering. We use segment trees to solve it. https://youtu.be/0HttRa2cXig
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by nikhilsimha 6y ago
Not your ideal train system, but happens in India. Quite often.
81.
by nikhilsimha 6y ago
In both examples 2 and 3, the author reads the same stream twice independently and assumes that a join is not synchronized between the transformed streams. This seems like a fundamental flaw in their offering. Pushing in a timestamp alon
82.
by nikhilsimha 6y ago
Nightly to seconds is definitely great. Seconds to milliseconds is what is questionable I think.
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by nikhilsimha 6y ago
Just to clarify slapping a queue on a database is still a bad idea IMO
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by nikhilsimha 6y ago
Recent work from Berkeley on AnnaDB and Martin Kleppman’s OLEP stuff is a complete opposite of this idea. Something along the lines of - databases are just a queue topology with synchronization. Queues do definitely seem like a more fundame
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by nikhilsimha 6y ago
Some stats from https://www.surveysystem.com/sscalc.htm Plugged in 800,000 as pop size, and 99% as confidence level and 4 as confidence interval. The number it spits out is 1039 It is a pretty good sample size.
86.
by nikhilsimha 7y ago
Used to work at fb in an infra team. Their abstraction for job scheduling (Tupperware) is about 5 years behind - something like Borg or EC2/EMR. Something like that is a fundamental reason why fb can’t do cloud as it is right now. Plus
87.
by nikhilsimha 7y ago
> we aren't immune against flu, is there any reason to think we could develop (long-term) immunity to COVID-19? Spanish flu became less lethal in subsequent generations[1]. Helps with the survivability of the virus if it doesn'
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by nikhilsimha 7y ago
How does this compare to jsonnet or hocon? Why would someone choose this over generating configuration files with a “scripting” language like python?
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by nikhilsimha 7y ago
^ This is why I love hackernews!
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by nikhilsimha 8y ago
“India and China need it the most” - not true at all sir. Per capita usage is key. https://en.m.wikipedia.org/wiki/List_of_countries_by_carbon_...

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