Earlier quoted context omitted.
I'm trying to imagine why somebody would start writing so hateful comment on hn. how empty the soul of that human can be?
I didn't read it as hateful, but as legitimate curiosity. Ruby is at a disadvantage because the analytics ecosystem is primarily Python based.
Fast DataFrames for Ruby
21–28 of 28 posts
Re: Fast DataFrames for Ruby
#22Earlier quoted context omitted.
I'm trying to imagine why somebody would start writing so hateful comment on hn. how empty the soul of that human can be?
There is a school of thought that you should use the right tool for the job, and some languages are better tools for certain tasks. Python already has all the libraries, and Julia has built-in language support. But nobody is stopping you from using Ruby or JS or PHP for whatever.
But there are often real world constraints that influence the choice of the tool. For example if you have a Rails app already, going with more Ruby code might fit better than branching out to Python or Julia.
> and some languages are better tools for certain tasks.
Yes, although in the case of Python, it's not the language that is better but the eco system support.
Re: Fast DataFrames for Ruby
#23https://xorbits.io/benchmark
Re: Fast DataFrames for Ruby
#24I'm trying to imagine why somebody would start a data analytics project in ruby.
Re: Fast DataFrames for Ruby
#25ankane’s gems are truly something.
Re: Fast DataFrames for Ruby
#26Re: Fast DataFrames for Ruby
#27Earlier quoted context omitted.
I'm trying to imagine why somebody would start writing so hateful comment on hn. how empty the soul of that human can be?
There is a school of thought that you should use the right tool for the job, and some languages are better tools for certain tasks. Python already has all the libraries, and Julia has built-in language support. But nobody is stopping you from using Ruby or JS or PHP for whatever.
We process billions of events/records weekly with just Ruby and Sidekiq/Redis at my current job. Its way easier to extend what we have with Ruby than switching to Spark/Python/Scala/Kafka or whatever etc is complete overkill.
Re: Fast DataFrames for Ruby
#28Earlier quoted context omitted.
I'm trying to imagine why somebody would start writing so hateful comment on hn. how empty the soul of that human can be?
I didn't read it as hateful, but as legitimate curiosity. Ruby is at a disadvantage because the analytics ecosystem is primarily Python based.
The use of the words "I'm trying to imagine" is really very provocative, because it suggests that the commenter has thought hard about it comprehensively eliminated any possible reason one would use Ruby. Which in turn implies there is literally nothing good about Ruby at all.
So someone has poured heart and soul into building a free library in their own time, giving it away to everyone and the response is to casually dismiss it with a remark suggesting there is literally no reason for it to exist.
Is it a big deal? no. But it would be good if people tried to be kind when commenting.