from __future__ import print_function import nltk import sklearn #from pyspark import SparkFiles #from pyspark import SparkConf, SparkContext import torch print ('The nltk version is {}.'.format(nltk.__version__)) print ('The scikit-learn version is {}.'.format(sklearn.__version__)) print( "blah2018_04_06") torch.version.__version__
from plotly import __version__ print (__version__)
from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot
from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot
init_notebook_mode(connected=True)
#import plotly.plotly as py #import cufflinks as cf import pandas as pd import numpy as np #print (cf.__version__)
import tensorflow as tf hello = tf.constant('Yo bro') #sess = tf.Session() #sess.run(hello) hello
print (tf.__version__)
a = tf.constant(10) b = tf.constant(32) #sess.run(a + b) print(a,b)
#sess.close()