4 ms·

The mentioned gitlab repo doesn't seem to exist anymore. One would have to download kdb+ from kx, but I am not sure if this wouldn't be K4 only. Alternatively,

by pvitz 8y ago

The mentioned gitlab repo doesn't seem to exist anymore. One would have to download kdb+ from kx, but I am not sure if this wouldn't be K4 only. Alternatively, one could play with oK (K6) which would also give you the nice graphical iKe.

chrispsn 8y ago
K7 is now available as a trial from Shakti Software, Arthur Whitney’s new company. https://anaconda.org/shaktidb https://anaconda.org/shaktidb There is a Google Group: https://groups.google.com/forum/#!forum/shaktidb https://groups.google.com/forum/#!forum/shaktidb
- ah- 8y ago
  I didn't really follow that development, what led to the creation of Shakti?
  - 4thaccount 8y ago
    Not really sure... people started talking about it on the mostly dead /r/apljk subreddit last week which caught my attention. It appears Arthur Whitney left Kx Systems and started his own company again. I'm immediately suspicious when I see "blockchain" in something, but Arthur is a bit of a legend. I don't fully understand why it is bundled as an Anaconda (scientific and data analysis oriented distribution of Python), but I assume a library is utilized there for machine learning or something like that (hopefully someone can comment and tell us what). You can type in "/" in the REPL to bring up the help menu showing the various symbols and what they mean monadically (when taking one argument) or dyadically (taking two arguments). As usual though, their website seems to have virtually zero documentation like they want to stay obscure. I'd love if someone in the industry that can afford to use these products can tell me what Shakti looks like it would be used for. Is it the same as kdb+ mostly with a few added features?
    - pvitz 8y ago
      According to the Google Group, Alexander Belopolsky (involved in pyq) is a member of Shakti. That would explain the Python relation.
      - chrispsn 8y ago
        I've played around with the Python integration - it's pretty smooth. See, eg, https://groups.google.com/d/msg/shaktidb/lQ3XSvFPDhw/DOlmmFgHDAAJ https://groups.google.com/d/msg/shaktidb/lQ3XSvFPDhw/DOlmmFg...
    - deleted 8y ago
      [deleted]
    - toastking 8y ago
      I think the reason it's in anaconda is they're trying to go after the python crowd? Regain some of the data analysis market share that stuff like numpy took from APL.
      - 4thaccount 8y ago
        I see a lot of niche languages like Dyalog APL doing the same thing (building bridges to Python), but if I really have to use Python, I'll just use Python. Not a hybrid of the two. Maybe that's just me though.
        pvitz 8y ago
        Think about it as an extension to e.g. K/Q's strengths. What if you would like to visualise certain aspects of quote/trade data? It could take a very long time to process the data in Python and it is difficult to visualise data from within kdb+. Seems to be a good match.
        4thaccount 8y ago
        I know what you're getting at, but how hard can it be for a software company that makes millions (my assumption) to add a charting library as a native option with a verb for linechart, scatterplot, barplot...etc? They could just bundle the C++ JUCE library and then their users could create all sorts of GUIs and charts. I've seen other commercial products do this and it seems to work well, but I can understand them not wanting to include 3rd party code and pay a licensing fee. Still...I'd rather have a native way to do charting within a language rather than spin off a Python interpreter with Matplotlib. It just doesn't sound like a rapid prototyping process if you have to do that. I think I read before that they used to have a simple chart library, but removed it to keep the product tiny. I assume they know best, but don't know their reasoning. Thanks for the discussion though. This reminds me of using F# to call out to R. If I have to do all that work, I might as well just use R :). I realize there are some edge cases where that is nice though and that not everyone is as bothered by that as me. It seems like the context switching is inefficient.

by pvitz 8y ago

chrispsn 8y ago

K7 is now available as a trial from Shakti Software, Arthur Whitney’s new company. https://anaconda.org/shaktidb https://anaconda.org/shaktidb There is a Google Group: https://groups.google.com/forum/#!forum/shaktidb https://groups.google.com/forum/#!forum/shaktidb

ah- 8y ago
I didn't really follow that development, what led to the creation of Shakti?
- 4thaccount 8y ago
  Not really sure... people started talking about it on the mostly dead /r/apljk subreddit last week which caught my attention. It appears Arthur Whitney left Kx Systems and started his own company again. I'm immediately suspicious when I see "blockchain" in something, but Arthur is a bit of a legend. I don't fully understand why it is bundled as an Anaconda (scientific and data analysis oriented distribution of Python), but I assume a library is utilized there for machine learning or something like that (hopefully someone can comment and tell us what). You can type in "/" in the REPL to bring up the help menu showing the various symbols and what they mean monadically (when taking one argument) or dyadically (taking two arguments). As usual though, their website seems to have virtually zero documentation like they want to stay obscure. I'd love if someone in the industry that can afford to use these products can tell me what Shakti looks like it would be used for. Is it the same as kdb+ mostly with a few added features?
  - pvitz 8y ago
    According to the Google Group, Alexander Belopolsky (involved in pyq) is a member of Shakti. That would explain the Python relation.
    - chrispsn 8y ago
      I've played around with the Python integration - it's pretty smooth. See, eg, https://groups.google.com/d/msg/shaktidb/lQ3XSvFPDhw/DOlmmFgHDAAJ https://groups.google.com/d/msg/shaktidb/lQ3XSvFPDhw/DOlmmFg...
  - deleted 8y ago
    [deleted]
  - toastking 8y ago
    I think the reason it's in anaconda is they're trying to go after the python crowd? Regain some of the data analysis market share that stuff like numpy took from APL.
    - 4thaccount 8y ago
      I see a lot of niche languages like Dyalog APL doing the same thing (building bridges to Python), but if I really have to use Python, I'll just use Python. Not a hybrid of the two. Maybe that's just me though.
      - pvitz 8y ago
        Think about it as an extension to e.g. K/Q's strengths. What if you would like to visualise certain aspects of quote/trade data? It could take a very long time to process the data in Python and it is difficult to visualise data from within kdb+. Seems to be a good match.
        4thaccount 8y ago
        I know what you're getting at, but how hard can it be for a software company that makes millions (my assumption) to add a charting library as a native option with a verb for linechart, scatterplot, barplot...etc? They could just bundle the C++ JUCE library and then their users could create all sorts of GUIs and charts. I've seen other commercial products do this and it seems to work well, but I can understand them not wanting to include 3rd party code and pay a licensing fee. Still...I'd rather have a native way to do charting within a language rather than spin off a Python interpreter with Matplotlib. It just doesn't sound like a rapid prototyping process if you have to do that. I think I read before that they used to have a simple chart library, but removed it to keep the product tiny. I assume they know best, but don't know their reasoning. Thanks for the discussion though. This reminds me of using F# to call out to R. If I have to do all that work, I might as well just use R :). I realize there are some edge cases where that is nice though and that not everyone is as bothered by that as me. It seems like the context switching is inefficient.