Versions - CoCalc

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

In [3]:

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

In [9]:

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)

In [10]:

#sess.close()

In [11]:

print(pd.__version__)

1.1.5

In [12]:

print (np.__version__)

1.18.5

In [14]:

import seaborn as s

In [15]:

print (s.__version__)

0.11.1

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