Re: clojure, not the go to for data science

Not sure how helpful this will to be to others, but just started using some new tools to expedite in my data normalization/ cleansing/prep: https://www.bisok.com/data-science-workbench/ On Sunday, 20 December 2015 15:37:11 UTC-6, Matt Revelle wrote: > > Hey all, just chiming in that I use Cloju

Re: clojure, not the go to for data science

Hey all, just chiming in that I use Clojure for exploratory analysis, prototyping, and "production." Most of my work involves social networks and aside from my own libs I use: core.matrix, Loom, and gg4clj (ggplot!). I'm also a big fan of core.typed type annotations and Schema for data validati

Re: clojure, not the go to for data science

You're quite welcome; I was happy to add your work there :-) It's always wonderful seeing folks using Clojure for scientific research. I'm happy to add similar showcasings to the list. I should add that I've been wanting to make it easier for folks to submit suggestions through the site, and add i

Re: clojure, not the go to for data science

Just noticed one of my research paper made it to the showcase :-). Thanks for that! As for clojure resources: I have been mainly used clojure itself, and visualization libraries, (incanter, quil and gg4clj [to make plots in R with ggplot2, but you can use it to run any R code]), and sometimes a

Re: clojure, not the go to for data science

Made some updates to http://clojure-datascience.herokuapp.com/. In particular, went with the tagline "Resources for the budding Clojure Data Scientist." Couldn't come up with anything else sufficiently punny and appropriate. Again; please contribute! I'll be starting a list in the about page m

Re: clojure, not the go to for data science

On Apr 6, 2015 4:20 PM, "A" wrote: > > > > Thanks for taking the initiative :) Looks good. > > My two cents is to prefer something instead of the word "goto" though, which could imply an archaic coding semantic. "into"? Perhaps "...a growing resource to consolidate links to Clojure Data Science

Re: clojure, not the go to for data science

https://github.com/joshuaeckroth/clj-ml is a nice Weka wrapper. It has had various forks and authors through its life. On Monday, April 6, 2015 at 10:40:20 PM UTC+3, Goldritter wrote: > > I wonder, has somebody ever tried to write something like a clojure > wrapper for WEKA (http://www.cs.waik

Re: clojure, not the go to for data science

Hah. Yeah, I couldn't resist the pun, but I agree that it's pretty antithetical to every bit of philosophy upon which Clojure's been built. I can get to that eventually, but feel free to submit a pull request if I'm lagging. And of course, more Clojuresque but equally appropriate puns would be welc

Re: clojure, not the go to for data science

Can't recall which one, but I believe one of the aforementioned books has a chapter on Weka use with examples. -A On Monday, April 6, 2015 at 12:40:20 PM UTC-7, Goldritter wrote: > > I wonder, has somebody ever tried to write something like a clojure > wrapper for WEKA (http://www.cs.waikato.

Re: clojure, not the go to for data science

Thanks for taking the initiative :) Looks good. My two cents is to prefer something instead of the word "goto" though, which could imply an archaic coding semantic. Perhaps "...a growing resource to consolidate links to Clojure Data Science topics"? or perhaps something that describes the goa

Re: clojure, not the go to for data science

It is to note, that WEKA has at least a possibility for a clojure classifier ;) (http://weka.sourceforge.net/doc.packages/clojureClassifier/weka/classifiers/clojure/ClojureClassifier.html) Marcus Am 06.04.2015 um 21:42 schrieb Christopher Small: I remember seeing something like this, but if I

Re: clojure, not the go to for data science

I remember seeing something like this, but if I recall correctly it hasn't been updated in years, so I wouldn't really bank on it for maintenance or dependability. Of course, its possible it could be resurrected. If I recall what it was I'll share. Chris Sent via phone On Apr 6, 2015 12:40 PM,

Re: clojure, not the go to for data science

I wonder, has somebody ever tried to write something like a clojure wrapper for WEKA (http://www.cs.waikato.ac.nz/ml/weka/) or added WEKA to a clojure project? I have done this for a classification problem, but it was rather inchoate and only to create some libsvm and naive bayes classifier.

Re: clojure, not the go to for data science

OK; Here's my humble stab at something along these lines: http://clojure-datascience.herokuapp.com/ (source code here: https://github.com/metasoarous/clojure-datascience). The data is currently just an edn file, so contributions should come in the form of pull requests. However, we could look

Re: clojure, not the go to for data science

Yesyesyesyes! Great idea! I'm on it. On Sun, Apr 5, 2015 at 4:15 PM, A wrote: > Please feel free to create something like http://www.clojure-toolbox.com/ > for data science in Clojure, that would be great. > > On Sunday, April 5, 2015 at 3:33:11 PM UTC-7, Sayth Renshaw wrote: >> >> Would be good

Re: clojure, not the go to for data science

Please feel free to create something like http://www.clojure-toolbox.com/ for data science in Clojure, that would be great. On Sunday, April 5, 2015 at 3:33:11 PM UTC-7, Sayth Renshaw wrote: > > Would be good to get that on a wiki for all so we could update and share > as a resourcee. > > Sayth

Re: clojure, not the go to for data science

Would be good to get that on a wiki for all so we could update and share as a resourcee. Sayth On Mon, 6 Apr 2015 at 04:47 Christian Weilbach wrote: > -BEGIN PGP SIGNED MESSAGE- > Hash: SHA1 > > >> > > >> http://viewer.gorilla-repl.org/view.html?source=github&; > user=ghubber&repo=cnc&p

Re: clojure, not the go to for data science

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 >> >> http://viewer.gorilla-repl.org/view.html?source=github&user=ghubber&repo=cnc&path=rincanter.clj >> I am not sure whether this fits the design atm. though. I also >> had a look at renjin, but I think the native plugins mandate an >> RVM integra

Re: clojure, not the go to for data science

>> Thanks, that is an awesome list of resources. kudos to the respective authors. -A -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - ple

Re: clojure, not the go to for data science

Thanks, that is an awesome list of resources. On Sun, Apr 5, 2015, 4:20 AM A wrote: > Caveats... there is a lot to explore, things are continually changing and > evolving, I haven't made an exhaustive search, but here is what is quickly > google-able... YMMV > > # Books > - Eric Rochester: https

Re: clojure, not the go to for data science

Caveats... there is a lot to explore, things are continually changing and evolving, I haven't made an exhaustive search, but here is what is quickly google-able... YMMV # Books - Eric Rochester: https://www.packtpub.com/big-data-and-business-intelligence/mastering-clojure-data-analysis and

Re: clojure, not the go to for data science

I would be awesome if you could provide links to some of the books, YouTube videos, and clojure wrappers that you'd recommend. On Thursday, April 2, 2015, A wrote: > > Clojure is an Amazing tool for data science. If people are slow to > realize this, that is their disadvantage. > > The premise

Re: clojure, not the go to for data science

Sure. I wasn't under the impression you were knocking it. On the contrary, I appreciate the reflection. As someone who uses (and loves) Clojure for data science, I'm keen to consider what can be done to broaden its adoption in this area. Chris Sent via phone -- You received this message because

Re: clojure, not the go to for data science

RStudio is really nice! I'm taking some Coursera classes using R, and RStudio is great. Maybe that's because I'm an IDE kind of guy: using Cursive for Clojure, PyCharm for Python, RStudio for R, etc. On Thursday, April 2, 2015 at 5:54:34 PM UTC-4, Jony Hudson wrote: > > I think the credit here h

Re: clojure, not the go to for data science

Agree Chris, I think Clojure has a lot of advantage. I never intended to knock Clojure just question as a person returning to look at the project at the potential roadblocks whether real or perceived that were potentially limiting its adoption. Sayth On Fri, 3 Apr 2015 at 10:07 Christopher Small

Re: clojure, not the go to for data science

Editors as they apply to data science adoption is certainly relevant, particularly as relates to ease of adoption for beginners. It's easy for an experienced developer to dismiss the difference of ease in adopting something like RStudio vs R by itself; Those with experience already have workfl

Re: clojure, not the go to for data science

On Thursday, April 2, 2015 at 5:54:34 PM UTC-4, Jony Hudson wrote: > > I think the credit here has to go to RStudio for doing such a good job of > making an easy to install complete development environment. I'd say just > comparing base Clojure to base R, it's a wash. Install java and either >

Re: clojure, not the go to for data science

For python notebooks there is an ein plugin which integrates notebooks in emacs. Giving features of both. Doesn't address Rstudio ease but it may allow greater features for gorilla for relatively smaller effort. On Fri, 3 Apr 2015 8:54 AM Jony Hudson wrote: I think the credit here has to go to

Re: clojure, not the go to for data science

I think the credit here has to go to RStudio for doing such a good job of making an easy to install complete development environment. I'd say just comparing base Clojure to base R, it's a wash. Install java and either download the Clojure jar, or the leiningen script, and you're good to go. Sim

Re: clojure, not the go to for data science

On Monday, 30 March 2015 14:46:53 UTC+1, Christian Weilbach wrote: > > -BEGIN PGP SIGNED MESSAGE- > Hash: SHA1 > > I have started working on R integration with the help of rinancanter > (1) and it was nice to have dedicated R code cells with at least > syntax highlighting that I can mix

Re: clojure, not the go to for data science

You appear to have vastly misinterpreted my intention regards Emacs. My mention of Emacs (I use emacs with prelude) was not based on my usage but as a perception of those who might be attracted to Clojure For Purely Data Science And wishes to get installed and moving quickly. R offers to get you

Re: clojure, not the go to for data science

Clojure is an Amazing tool for data science. If people are slow to realize this, that is their disadvantage. The premise that "Clojure hasn't developed as a go to for data science" simply doesn't ring true to me at all. There are numerous examples of Clojure use for data science, there are b

Re: clojure, not the go to for data science

Please stop. The amount of misinformation you are spreading about Emacs on this mailing list is deeply irresponsible and belies a very clear lack of understanding about how this software works. All of your concerns about internationalization (supported), accessibility to text readers (emacspea

Re: clojure, not the go to for data science

Dear lord... May I please echo the imploration that folks take the editor flame war else where. And while I'm at it, Vim FTW... On the note of DATA SCIENCE... I agree that Clojure has some catching up to do, both in tooling and awareness/perception. But it also has some major strengths in this

Re: clojure, not the go to for data science

Emacs can use the native windowing system on every major platform. It still *looks* like a terminal app, but doesn't have to be one. Pretty much everything you are saying here doesn't apply to Emacs at all, and you would know it's all false if you knew anything about Emacs. On Wednesday, April

Re: clojure, not the go to for data science

Fluid Dynamics writes: > On Tuesday, March 31, 2015 at 8:45:31 AM UTC-4, Phillip Lord wrote: >> >> The benefit is that Emacs is that its not constantly changing, and it >> gives you some stability over the years. I like latex, for instance, for >> the same reason. I can still access a 10 year o

Re: clojure, not the go to for data science

Hi, I'm working on a machine learning library for Clojure - Clatern( https://github.com/rinuboney/clatern). I've written a couple of blog posts in my blog rinuboney.github.io. I've just begun and there is lot more work to do. I've actually submitted a Google summer of code proposal and I ho

Re: clojure, not the go to for data science

On Tuesday, March 31, 2015 at 8:45:31 AM UTC-4, Phillip Lord wrote: > > The benefit is that Emacs is that its not constantly changing, and it > gives you some stability over the years. I like latex, for instance, for > the same reason. I can still access a 10 year old document and use it. > Firs

Re: clojure, not the go to for data science

I haven't been able to get quil working with gorilla repl yet, but I hope the support is there one day. --Joseph On Wednesday, April 1, 2015 at 5:37:05 AM UTC-5, Sayth Renshaw wrote: > > I saw all the changes to incanter. lot of breaking changes going into > version 2 but they seem to reduce de

Re: clojure, not the go to for data science

I haven't tested 1.9 or 2.0 yet, but I'm working with an existing project that depends in incanter and I don't think there is a return on investment for updating it at this time (only using a few features). If I was starting now, I would go with 1.9 for my data analysis. --Joseph On Tuesday, M

Re: clojure, not the go to for data science

I saw all the changes to incanter. lot of breaking changes going into version 2 but they seem to reduce dependencies and going to core.matrix as you pointed out. There are a lot of things in clojure that I have found that I just haven't heard about need to clean some web data there are severa

Re: clojure, not the go to for data science

Sorry no offense intended, I have prelude, cider and Nrepl going right now. Actually I haven't usually gotten along with emacs but it is just working at the moment and um i like it. I am just changing flx-ido to vertical as it looks a little nicer but that's it really, the only change. O

Re: clojure, not the go to for data science

Mikera writes: >> I would say, lack of numpy or equivalent. And nice tools to link between >> Clojure and the many C/Fortran numeric libraries. Python and R do this >> natively. >> > > core.matrix is effectively the equivalent of NumPy > > In some ways it is much more versatile, because it wor

Re: clojure, not the go to for data science

Fluid Dynamics writes: >> That's nonsense. As soon as you have made yourself acquainted with the >> basic Emacs terminology and concepts, getting started with Clojure >> development is a piece of cake. Of course, > > > the devil is in the details. Including the implementation details that lea

Re: clojure, not the go to for data science

Colin Yates writes: > The camel breaking straw for me was yet another iteration of 'come on, > let's tame this beast, find package X to scratch itch Y, update and > watch something break. Spend hours numptying and googling around, give > up, fresh re-install, do some paid work'. Rinse and repeat.

Re: clojure, not the go to for data science

Joseph Guhlin wrote: > Incanter gets your pretty far, especially when combined with Gorilla > REPL, but all the tools and features aren't quite there yet, but progress > is being made. Incanter is undergoing major change with the migration to core.matrix, and a break in the API. Has anybody o

Re: clojure, not the go to for data science

This. I am amazed it isn't more widely shouted about. On Sunday, 29 March 2015 12:34:23 UTC+1, Jony Hudson wrote: > > First, let me shamelessly plug Gorilla REPL http://gorilla-repl.org . > It's a notebook type REPL, which I think works well as an environment for > the sort exploratory programmi

Re: clojure, not the go to for data science

Yes, exactly this. The camel breaking straw for me was yet another iteration of 'come on, let's tame this beast, find package X to scratch itch Y, update and watch something break. Spend hours numptying and googling around, give up, fresh re-install, do some paid work'. Rinse and repeat. Cursive

Re: clojure, not the go to for data science

Ha! Genius. On 30 March 2015 at 19:47, danle...@gmail.com wrote: > http://www.scribd.com/doc/30605092/Saturn-v-Flight-Manual > > I have tracked down the flight manual of the Saturn-V rocket so we can > objectively decide whether emacs is more, or less, difficult. > > -- > You received this messa

Re: clojure, not the go to for data science

Alexis writes: > Colin Yates writes: > >> I used it a few years back > > [snip] > >> [and] even after man-months spent tinkering, hunting down the right version >> on MELPA or MARMALADE (or whatever it is called) > > i basically only use MELPA and GNU ELPA. In terms of the ~200 packages i've > i

Re: clojure, not the go to for data science

Technically I see the JVM as an advantage. F# now as well as Julia are seen as the data science languages contenders of the future. Clojure has a lot going for it but never gets a mention, just could not understand why that is. Spark implements Scala and Python as languages to use, again you wou

Re: clojure, not the go to for data science

On Tuesday, 31 March 2015 00:01:32 UTC+8, Phillip Lord wrote: > > > > > Sayth Renshaw > writes: > > I last learned clojure in 1.2. Just curious why Clojure hasn't > > developed as a go to for data science? > > > > It never seems to get a mention R,Python and now Julia get the > > attention.

Re: clojure, not the go to for data science

http://www.scribd.com/doc/30605092/Saturn-v-Flight-Manual I have tracked down the flight manual of the Saturn-V rocket so we can objectively decide whether emacs is more, or less, difficult. -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to

Re: clojure, not the go to for data science

Sayth Renshaw writes: > I last learned clojure in 1.2. Just curious why Clojure hasn't > developed as a go to for data science? > > It never seems to get a mention R,Python and now Julia get the > attention. By design it would appear that Clojure would be a good fit. > Is it a lack of libraries

Re: clojure, not the go to for data science

Fluid Dynamics writes: > You can have as many of them open as you like, say, one for > "task X", and one for "switching focus between windows". > > And then have what, two 27x24 and a 26x24 keyhole to squint through at > everything? :) Less a couple of lines at the bottom for status > no

Easy-install/GUI emacs for Clojure (was: Re: clojure, not the go to for data science)

[Forked the thread as per suggestion by Timothy Baldridge.] On Mar 30, 2015, at 9:29 AM, Christian Weilbach wrote: > > I have failed to setup Emacs for development and used Vim or Eclipse > primarily before entering Clojure-land. emacs-live allowed me to just > execute a shell script and get a

Re: clojure, not the go to for data science

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 On 30.03.2015 13:35, Jony Hudson wrote: > I propose, instead of this discussion, everyone channels their > energy into writing an open-source data-science library, or blog > post/article promoting Clojure for data science. In their favourite > editor,

Re: clojure, not the go to for data science

On Monday, March 30, 2015 at 7:29:36 AM UTC-4, Alexis wrote: > > > Fluid Dynamics > writes: > > >> * i don't have to learn and use a distinct, possibly > >> resource-hungry, IDE[2] for every new programming language > >> or environment i need/want to work in. (When the Swift > >> l

Re: clojure, not the go to for data science

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 On 30.03.2015 15:12, Lee Spector wrote: >> On Mar 30, 2015, at 7:35 AM, Jony Hudson >> wrote: >> >> I propose, instead of this discussion, everyone channels their >> energy into writing an open-source data-science library, or blog >> post/article pro

Re: clojure, not the go to for data science

>> That's a good idea, but I'd also like to say a bit more about the pro/con-emacs discussion, which I hope to be constructive. Discussion is often a good idea, but in a dedicated thread. Perhaps it's time to fork the original topic so that this discussion about editors can continue without derail

Re: clojure, not the go to for data science

> On Mar 30, 2015, at 7:35 AM, Jony Hudson wrote: > > I propose, instead of this discussion, everyone channels their energy into > writing an open-source data-science library, or blog post/article promoting > Clojure for data science. In their favourite editor, of course! > > > Jony That's

Re: clojure, not the go to for data science

Without wanting to get involved in this discussion, I'd just like to point out that there's plenty of anti-IntelliJ trolling goes on in the Clojure community as well. The trick is just to ignore it, something that I mostly manage to do. I'd also like to second Jony's suggestion that we also talk a

Re: clojure, not the go to for data science

On Monday, March 30, 2015 at 7:23:00 AM UTC-4, Tassilo Horn wrote: > > Fluid Dynamics > writes: > > > * Further to the resource-usage issue, i can more easily use Emacs > > remotely over low-bandwidth links than i could use an IDE. > > > > Typical home and mobile connection speeds are m

Re: clojure, not the go to for data science

I propose, instead of this discussion, everyone channels their energy into writing an open-source data-science library, or blog post/article promoting Clojure for data science. In their favourite editor, of course! Jony On Sunday, 29 March 2015 10:55:34 UTC+1, Sayth Renshaw wrote: > > Hi > >

Re: clojure, not the go to for data science

i'm assuming this response is a troll, given the use of the sort of gratuitous insults that Bozhidar mentioned; specific examples noted below. (And this somewhat amuses me, given the recent discussion about whether it's possible to critique different technologies without resorting to doing li

Re: clojure, not the go to for data science

Fluid Dynamics writes: > * i don't have to learn and use a distinct, possibly > resource-hungry, IDE[2] for every new programming language or > environment i need/want to work in. (When the Swift language was > released, for example, basic Swift support in the form of > `swift

Re: clojure, not the go to for data science

On Monday, March 30, 2015 at 4:18:03 AM UTC-4, Alexis wrote: > > > Bozhidar Batsov > writes: > > > Anti-Emacs stuff really gets to me. > > i too find it somewhat tiresome. It makes me wonder how many > people have actually stopped and asked themselves: "Given that > Emacs seems like a crusty an

Re: clojure, not the go to for data science

Colin Yates writes: I used it a few years back [snip] [and] even after man-months spent tinkering, hunting down the right version on MELPA or MARMALADE (or whatever it is called) MELPA and Marmalade are two separate ELPAs ("Emacs Lisp Package Archives") - others include MELPA Stable, GN

Re: clojure, not the go to for data science

For me personally, I absolutely admire emacs - I really do. I used it a few years back when I first started in Clojure before Cursive was around and when it was configured correctly it was absolutely great. >From an engineering POV, yeah, it rocks. I am sure that for anything I can do in IDE-X I c

Re: clojure, not the go to for data science

Bozhidar Batsov writes: Anti-Emacs stuff really gets to me. i too find it somewhat tiresome. It makes me wonder how many people have actually stopped and asked themselves: "Given that Emacs seems like a crusty ancient artifact from The Land That Time Forgot, why do so many people keep usi

Re: clojure, not the go to for data science

Incanter gets your pretty far, especially when combined with Gorilla REPL, but all the tools and features aren't quite there yet, but progress is being made. There are a few features I really need for clojure that I think are out there, but aren't in core and I haven't found the external libra

Re: clojure, not the go to for data science

The older the fiddle... Luc Préfontaine March 29, 2015 at 9:21 AM It's fun to see that vintage tools are so much appreciated these days :) Luc P. -- Luc Préfontaine sent by ibisMail! Joseph Smith March 29, 2015 at 8:26 AM Bats

Re: clojure, not the go to for data science

It's fun to see that vintage tools are so much appreciated these days :) Luc P. > Batsov, > > CIDER is the best Clojure IDE. ;) > > -- > @solussd > > > > On Mar 29, 2015, at 9:14 AM, Bozhidar Batsov wrote: > > > > And CIDER isn't, right? I find this pretty insulting... > > > >> On 29 Marc

Re: clojure, not the go to for data science

Just picking on the wording, that's all. Anti-Emacs stuff really gets to me. Forget I ever said anything. On 29 March 2015 at 17:17, Colin Yates wrote: > I assumed his reference to emacs covered CIDER - don't be so sensitive :). > > On 29 March 2015 at 15:14, Bozhidar Batsov wrote: > > And CIDE

Re: clojure, not the go to for data science

Batsov, CIDER is the best Clojure IDE. ;) -- @solussd > On Mar 29, 2015, at 9:14 AM, Bozhidar Batsov wrote: > > And CIDER isn't, right? I find this pretty insulting... > >> On 29 March 2015 at 13:47, Colin Yates wrote: >> Cursive Clojure, LightTable and CounterClockwise are all good Clojur

Re: clojure, not the go to for data science

I assumed his reference to emacs covered CIDER - don't be so sensitive :). On 29 March 2015 at 15:14, Bozhidar Batsov wrote: > And CIDER isn't, right? I find this pretty insulting... > > > On 29 March 2015 at 13:47, Colin Yates wrote: >> >> Cursive Clojure, LightTable and CounterClockwise are al

Re: clojure, not the go to for data science

And CIDER isn't, right? I find this pretty insulting... On 29 March 2015 at 13:47, Colin Yates wrote: > Cursive Clojure, LightTable and CounterClockwise are all good Clojure IDEs. > > On 29 March 2015 at 09:54, Sayth Renshaw wrote: > > Hi > > > > I last learned clojure in 1.2. Just curious why

Re: clojure, not the go to for data science

On smaller data and prototypes we do data science with R, Python, clojure, java and scala. All of our larger scale and production work is done in clojure including data science. cheers, Bruce On Sun, Mar 29, 2015 at 9:54 AM, Sayth Renshaw wrote: > Hi > > I last learned clojure in 1.2. Just curio

Re: clojure, not the go to for data science

The data scientists we work often build their final models in either Clojure or Java, but most of them prefer Python or R for exploration. Since they're comfortable with the environment (both the JVM and emacs), the preference largely stems from a lack of library support and a short history. Even

Re: clojure, not the go to for data science

First, let me shamelessly plug Gorilla REPL http://gorilla-repl.org . It's a notebook type REPL, which I think works well as an environment for the sort exploratory programming of that's common when analysing data. We use it for science-involving-data every day in our research group, and I think

Re: clojure, not the go to for data science

Cursive Clojure, LightTable and CounterClockwise are all good Clojure IDEs. On 29 March 2015 at 09:54, Sayth Renshaw wrote: > Hi > > I last learned clojure in 1.2. Just curious why Clojure hasn't developed as a > go to for data science? > > It never seems to get a mention R,Python and now Julia