dharhas

provider: aws
namespace: internal
nebari_version: 2024.1.1rc5
project_name: XXXX
domain: XXXX
certificate:
  type: lets-encrypt
  acme_email: XXXX
  acme_server: XXXX
ci_cd:

dharhas

DHARHAS POTHINA | DIRECTOR OF CONSULTING AT QUANSIGHT

Dharhas Pothina is the Director of Consulting at Quansight where he helps clients wrangle their data using the pydata stack. His background includes expertise in computational modeling, big data/high performance computing, visualization and geospatial analysis. Prior to his current position he worked for 15 years in state and federal research labs where he led large multi-disciplinary, multi-agency research projects.

He holds a PhD in Civil Engineering and an MS in Aerospace Engineering from the University of Texas at Austin and a BTech in Aerospace Engineering from the Indian Institute of Technology Madras.

dharhas

dharhas

import asyncio
from pulsar.apps import rpc, wsgi
from pulsar.utils.httpurl import JSON_CONTENT_TYPES


@asyncio.coroutine
def long_download(request, delay=1):
    print('sleeping for: {0} seconds'.format(delay))
    yield from asyncio.sleep(delay)
    print('{0} seconds task is finished'.format(delay))

dharhas

# Python -------------
# Anaconda
alias anaconda='export PATH=/Users/dharhas/anaconda/bin:$PATH; alias workon="source activate"; alias deactivate="source deactivate"'
alias rma='deactivate; export PATH=`echo -n $PATH | awk -v RS=: -v ORS=: "/anaconda/ {next} {print}" | sed "s/:$//"`; unalias workon deactivate'

# Problem with anaconda gdal
export GDAL_DATA=/usr/local/share/gdal/

# Virtual Envs (for use with system python)

dharhas

import numpy as np
import pandas as pd
from ulmo.usgs import nwis

# download and cache site data (this will take a long time the first time)
# currently downloads all available parameters
nwis.hdf5.update_site_data('06043500')

# read daily mean discharge data from cache (statistics code 00003)
data = nwis.hdf5.get_site_data('06043500', parameter_code='00060:00003')['00060:00003']