Connect to remote q session and execute q statements in Sublime Text

• Cmd + alt + q to add q connections and quickly switch between them
• Cmd + Enter or Cmd + e to send highlighted line or block text
• Cmd + j to execute text and get result as json (by calling .j.j to results - requires .j.j in kdb 3.x)
• 2 result modes: output panel and inline popup
• Syntax higlighing (based on kimtang's https://github.com/kimtang/sublime-q)
• shows rows, column, time, mem usage at status bar
• auto complete
  [change Cmd to Ctrl for windows]

• F1 open help at cursor
• F2 print variable at cursor
• F3 show type at cursor
• F4 show table and columns
• F5 show environments
• shift + F5 show memory usage

[hold shift to show output in inline popup instead of output panel]

###Supported

• osx_x64
• windows_x64

###Not supported Support can be easily extended by adding proper numpy 1.8 build with python 3.3 to lib/[os]_[architecture]. Please send PR if you can build any of these

• osx_x32
• windows_x32
• linux_x32
• linux_x64

For Sublime Text 2, please use https://github.com/komsit37/sublime-q-2

via package control https://packagecontrol.io/packages/q%20KDB

Clone this git repository into your Sublime Text 3/Packages directory. NOTE: You may need to change dir to q KDB

• Windows: C:\Users\[username]\AppData\Roaming\Sublime Text 3\Packages
• OS X: ~/Library/Application Support/Sublime Text 3/Packages

git clone https://github.com/komsit37/sublime-q.git

From sublime text, run package control: satisfy dependencies (you may need to open package folder in sublime text first). This will install numpy as a dependency package to your packages folder

Tested on OSX and Windows 8

Included numpy version should work for osx and windows 64bit, but if you need to build numpy

1. download python 3.3
2. download http://sourceforge.net/projects/numpy/files/NumPy/1.8.1/
3. run python3.3 setup.py install
4. numpy will be installed to your default python lib
5. then follow steps here komsit37#12