In [0]:

    




    

In [0]:

    

from vega_datasets import data
stocks = data.stocks()

import altair as alt
alt.Chart(stocks).mark_line().encode(
  x='date:T',
  y='price',
  color='symbol'
).interactive(bind_y=False)


    

    
Out[0]:








  
  
  
  


  

  

In [0]:

    

# To determine which version you're using:
#!pip show tensorflow

# For the current version: 
#!pip install --upgrade tensorflow

# For a specific version:
!pip install tensorflow==2.0.0-alpha

# For the latest nightly build:
#!pip install tf-nightly


    

    




Collecting tensorflow==2.0.0-alpha
  Downloading https://files.pythonhosted.org/packages/29/39/f99185d39131b8333afcfe1dcdb0629c2ffc4ecfb0e4c14ca210d620e56c/tensorflow-2.0.0a0-cp36-cp36m-manylinux1_x86_64.whl (79.9MB)
    100% |████████████████████████████████| 79.9MB 372kB/s 
Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.0.9)
Requirement already satisfied: numpy<2.0,>=1.14.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.14.6)
Collecting tf-estimator-nightly<1.14.0.dev2019030116,>=1.14.0.dev2019030115 (from tensorflow==2.0.0-alpha)
  Downloading https://files.pythonhosted.org/packages/13/82/f16063b4eed210dc2ab057930ac1da4fbe1e91b7b051a6c8370b401e6ae7/tf_estimator_nightly-1.14.0.dev2019030115-py2.py3-none-any.whl (411kB)
    100% |████████████████████████████████| 419kB 20.0MB/s 
Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (3.7.1)
Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.1.0)
Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.15.0)
Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (0.33.1)
Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (0.2.2)
Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.11.0)
Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (1.0.7)
Collecting tb-nightly<1.14.0a20190302,>=1.14.0a20190301 (from tensorflow==2.0.0-alpha)
  Downloading https://files.pythonhosted.org/packages/a9/51/aa1d756644bf4624c03844115e4ac4058eff77acd786b26315f051a4b195/tb_nightly-1.14.0a20190301-py3-none-any.whl (3.0MB)
    100% |████████████████████████████████| 3.0MB 11.2MB/s 
Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (0.7.1)
Collecting google-pasta>=0.1.2 (from tensorflow==2.0.0-alpha)
  Downloading https://files.pythonhosted.org/packages/64/bb/f1bbc131d6294baa6085a222d29abadd012696b73dcbf8cf1bf56b9f082a/google_pasta-0.1.5-py3-none-any.whl (51kB)
    100% |████████████████████████████████| 61kB 24.1MB/s 
Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.0.0-alpha) (0.7.1)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.6.1->tensorflow==2.0.0-alpha) (40.9.0)
Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.6->tensorflow==2.0.0-alpha) (2.8.0)
Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tb-nightly<1.14.0a20190302,>=1.14.0a20190301->tensorflow==2.0.0-alpha) (3.1)
Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tb-nightly<1.14.0a20190302,>=1.14.0a20190301->tensorflow==2.0.0-alpha) (0.15.2)
Installing collected packages: tf-estimator-nightly, tb-nightly, google-pasta, tensorflow
  Found existing installation: tensorflow 1.13.1
    Uninstalling tensorflow-1.13.1:
      Successfully uninstalled tensorflow-1.13.1
Successfully installed google-pasta-0.1.5 tb-nightly-1.14.0a20190301 tensorflow-2.0.0a0 tf-estimator-nightly-1.14.0.dev2019030115

In [0]:

    




    

In [0]:

    

from google.colab import files

uploaded = files.upload()

for fn in uploaded.keys():
  print('User uploaded file "{name}" with length {length} bytes'.format(
      name=fn, length=len(uploaded[fn])))


    

    






     
     

      Upload widget is only available when the cell has been executed in the
      current browser session. Please rerun this cell to enable.
      
       






    




Saving Max.jpg to Max.jpg
User uploaded file "Max.jpg" with length 103702 bytes