Hi,
El mar., 14 jul. 2020 a las 4:35, Warren Pang () escribió:
> Hi
>
> Does perl have a stream computing framework?
>
I don't really know about Perl. It used to have Perl Data Language, but I
don't know its current state. However, this mailing list is about Raku, or
Perl 6 as it was called
…or maybe something like Pandas https://pandas.pydata.org/ ?
BTW, it would be nice to build something like that for Raku.
(Shameless plug: I'm working on a Raku interface to the GNU Scientific
Library (see: https://modules.raku.org/search/?q=Math%3A%3ALibgsl). The
next modules in my queue are
There was a talk by Steven Lembark about using the lazy gathers and
concurrency constructs in Raku at the last Perl conference that might be
of interest.
Steven (if I remember correctly) was using these tools to analyse vast
quantities of data.
The language constructs exist in Raku, and the
Hi Warren!
Please reply to list.
On Tue, 14 Jul 2020 10:34:57 +0800
Warren Pang wrote:
> Hi
>
> Does perl have a stream computing framework?
> I know Java/python have many, such as spark, flink, beam etc.
> But I am looking for a perl alternative, since most of our team members
> have been
I'm adding a Module to the ecosystem, and the Build system failed, see
https://travis-ci.com/github/Raku/ecosystem/builds/175326153
It doesn't seem that it is my Module that's failing, but NativeLibs.
see line 165.
As for my Module (raku-pod-render) it passes all tests, including
Test-Meta
Hello
We are already using perl PDL and something similar.
The streaming framework is mainly used for real time data analysis.
Tyler from Apache Beam project has wrote a great book about streaming
system:
http://streamingsystems.net/
So I have interest to know if there is the perl implementation
If you really want a streaming framework for Perl, the mailing list for
Raku users might not be the best place to ask.
(Raku used to be known as Perl6, and we haven't done anything to change the
name of this mailing list.)
Raku has a very similar syntax to Perl. (It used to be called Perl6 after
Hi,
I was wondering if pod documentation has a large impact on compiling
modules. I assume on small files it would be ignorable but I have some
modules which have grown big, one has 7153 lines of which the biggest
part is pod doc. Would it be useful to split such a file in two. one for
code
Hi Warren,
On Tue, 14 Jul 2020 16:54:49 +0800
Warren Pang wrote:
> Hello
>
> We are already using perl PDL and something similar.
> The streaming framework is mainly used for real time data analysis.
> Tyler from Apache Beam project has wrote a great book about streaming
> system:
>
I already mentioned it here.
Since Raku supports truly well functional programming.
To data analysis might be better something like
https://www.tidyverse.org/ implemented
in R to approximate a natural language.
On Tue, Jul 14, 2020 at 11:03 AM Brad Gilbert wrote:
> If you really want a
I second Brad's comment -- perlmonks.org is a great place to ask.
Use the following link for a quick start. The user interface is something
out of the dark ages but you'll generally get outstandingly good replies,
especially if you explicitly add something like "Thank you for considering
my
I've submitted now a PR to NativeLibs that fixes that issue.
El mar., 14 jul. 2020 a las 11:03, Richard Hainsworth (<
rnhainswo...@gmail.com>) escribió:
> I'm adding a Module to the ecosystem, and the Build system failed, see
>
> https://travis-ci.com/github/Raku/ecosystem/builds/175326153
>
>
It's going to be pretty much the same. If it's installed, it's going to be
precompiled anyway. The overhead added by reading the file might even make
it slower.
Of course, you can always give it a try and measure. Measuring might always
surprise you :-)
El mar., 14 jul. 2020 a las 14:20, Marcel
Thank you for answer JJ.
It is quite a work to split such a large file up so I thought I'd better
ask before I dive in head first. Later I might think it over. I have
this documentation on the github pages too so I could separate the pod
doc and keep them somewhere else where they won't get
Thank you all very much.
I have tried to search "perl discussion" and it brings me to perl6's list
page.
Yes for data analysis we primarily use classic perl5, which is smart enough
especially the regex matching.
There are "spark streaming", "flink streaming", "storm streaming", and a
lot of
Steven Lembark's talk (using Raku to analyze 123GB of BLAST-formatted
AA sequences). Definitely worth watching:
https://www.youtube.com/watch?v=rgCk5w2o-GY
On Tue, Jul 14, 2020 at 2:16 AM Richard Hainsworth
wrote:
>
> There was a talk by Steven Lembark about using the lazy gathers and
>
I'm really sad about the conceptions of programming with non-functional
languages. Truly better an R as a reference than a OO in data analysis.
On Wed, Jul 15, 2020 at 12:13 AM William Michels
wrote:
> Hi Warren,
>
> The topic you raise is an interesting one. When I've previously
> searched for
Hi Warren,
The topic you raise is an interesting one. When I've previously
searched for 'streaming' and 'Python' I often see articles on
Iterables such as the following:
[1] "Data streaming in Python: generators, iterators, iterables"
Thanks for the info @Wiliam.
We are probably seeking for a streaming framework which
is Engineering-oriented.
The documentation you provided are mostly Algorithm-oriented.
For instance, as an algorithm engineer, I can implement the algorithm
Logistic regression by hand.
But I won't do this,
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