CoCalc Public Filesversions.ipynb
Author: Alex B
Views : 469
Description: Jupyter notebook versions.ipynb
Compute Environment: Ubuntu 18.04 (Deprecated)
In [13]:
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__

--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) <ipython-input-13-41e34be1b55f> in <module> 3 import nltk 4 import sklearn ----> 5 from pyspark import SparkFiles 6 #from pyspark import SparkConf, SparkContext 7 ModuleNotFoundError: No module named 'pyspark' 
In [2]:
from plotly import __version__
print (__version__)

4.14.1
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from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot

In [4]:
from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot

In [5]:
init_notebook_mode(connected=True)

In [6]:
#import plotly.plotly as py
#import cufflinks as cf
import pandas as pd
import numpy as np
#print (cf.__version__)


In [7]:
import tensorflow as tf
hello = tf.constant('Yo bro')
#sess = tf.Session()
#sess.run(hello)
hello

<tf.Tensor: shape=(), dtype=string, numpy=b'Yo bro'>
In [8]:
print (tf.__version__)

2.3.0
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a = tf.constant(10)
b = tf.constant(32)
#sess.run(a + b)
print(a,b)

tf.Tensor(10, shape=(), dtype=int32) tf.Tensor(32, shape=(), dtype=int32)
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#sess.close()

In [11]:
print(pd.__version__)

1.1.5
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print (np.__version__)

1.18.5
In [14]:
import seaborn as s

In [15]:
print (s.__version__)

0.11.1
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