Vindaar

Dplyr (R), Pandas (Python) & Nim data frame comparison

This comparison is inspired by the comparison here: https://gist.github.com/conormm/fd8b1980c28dd21cfaf6975c86c74d07

The Nim data frame implementation we use here is the Datamancer data frame.

Note that due to UFCS in Nim we can write the commands we present either similar to the Python notation as if the function were a method of the

rogercloud

import os, threadpool, macros

template spawnBackgroundJob(t: typedesc, chan:ptr TChannel[t], iter: expr): stmt {.immediate.}=
  block:
    proc threadFunc(channel: ptr TChannel[t]) {.thread.} =
      echo "Thread is starting"

      for i in iter:
        echo "Sending ", i
        channel[].send(i)

flaviut

#!/usr/bin/env sh

# A wrapper around the Nim compiler to allow for easy scripting of Nim. Puts
# all temporary files in a temporary directory and cleans up after itself.
#
# Usage:
#  - add `#!/usr/bin/env nimrun` at the beginning of your script
#  - execute the nim file with it, for example, `nimrun file.nim args`
#
# Possible future extentions: