rapids'cudf on google colab

steps_cudf.txt

Steps 1: Just to verify that you have all requirement satisfied, needed by rapids. 
  
  * check the gpu card (>=Pascal arch)
  !nvidia-smi
  
  * check cuda version installed (>=9.2)
  !nvcc -V
  
  *check the python and pip version (python==3.6)
  !python -V; pip -V
  
Step 2: Install the cudf and make some adjustment in order to make it work.

  !pip install cudf-cuda100==0.6
  
  # If you try to import cudf at this point, it will give you, librmm.so not found error.#
  
  *find the location of librmm.so using:
  !find / -name librmm.so* 
  # It should give something like this: /usr/local/lib/python3.6/dist-packages/librmm.so #
  
  *copy this librmm.so to your current working directory.
  !cp /usr/local/lib/python3.6/dist-packages/librmm.so . 
  
  # at this point you will be able to import cudf#
  
Step 3: Here you have to set the path for NVVM. copy and paste the below lines to notebook cell.
  import os
  os.environ['NUMBAPRO_NVVM']='/usr/local/cuda-10.0/nvvm/lib64/libnvvm.so'
  os.environ['NUMBAPRO_LIBDEVICE']='/usr/local/cuda-10.0/nvvm/libdevice'
  
  
Finally, you can run your code.