Jovian
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5 years ago
!pip install jovian
Collecting jovian Downloading https://files.pythonhosted.org/packages/53/b8/07dbaf8e226aabf7909f099bd696dddf25327329dbb22e00691ba9df84cc/jovian-0.1.62.tar.gz Requirement already satisfied: requests in /opt/conda/lib/python3.6/site-packages (from jovian) (2.22.0) Collecting uuid (from jovian) Downloading https://files.pythonhosted.org/packages/ce/63/f42f5aa951ebf2c8dac81f77a8edcc1c218640a2a35a03b9ff2d4aa64c3d/uuid-1.30.tar.gz Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.6/site-packages (from requests->jovian) (1.24.2) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests->jovian) (2019.6.16) Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests->jovian) (3.0.4) Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/lib/python3.6/site-packages (from requests->jovian) (2.8) Building wheels for collected packages: jovian, uuid Building wheel for jovian (setup.py) ... done Created wheel for jovian: filename=jovian-0.1.62-cp36-none-any.whl size=19226 sha256=0b6e4e5ed0207b5dcef418f8e1c1c5d7abf373bee8eeb5e2925a86c2694e539a Stored in directory: /tmp/.cache/pip/wheels/67/9f/b0/b841f81da3f8c9919ed232fa14bba397c5c38fa8df5d125d8a Building wheel for uuid (setup.py) ... done Created wheel for uuid: filename=uuid-1.30-cp36-none-any.whl size=6501 sha256=8232174da6f6a01dbf895b61f68bfdaab2f8aba123b076ed7b82484e0e76de0d Stored in directory: /tmp/.cache/pip/wheels/2a/80/9b/015026567c29fdffe31d91edbe7ba1b17728db79194fca1f21 Successfully built jovian uuid Installing collected packages: uuid, jovian Successfully installed jovian-0.1.62 uuid-1.30 
# This Python 3 environment comes with many helpful analytics libraries installed

# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in 

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory

import os
print(os.listdir("../input"))

# Any results you write to the current directory are saved as output.
['ner-lists-87_citations-1000.csv'] 
import jovian

1. Prepare the http://Dataset

df = pd.read_csv('../input/ner-lists-87_citations-1000.csv')
df = df.fillna('')
df.head(20)