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!pip install jovian --upgrade --quiet
!pip install pandas
Collecting pandas Downloading pandas-1.1.2-cp37-cp37m-manylinux1_x86_64.whl (10.5 MB) |████████████████████████████████| 10.5 MB 4.4 MB/s eta 0:00:01 Requirement already satisfied: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2.8.1) Collecting pytz>=2017.2 Downloading pytz-2020.1-py2.py3-none-any.whl (510 kB) |████████████████████████████████| 510 kB 26.7 MB/s eta 0:00:01 Collecting numpy>=1.15.4 Downloading numpy-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) |████████████████████████████████| 14.5 MB 32.5 MB/s eta 0:00:01 |██████████████████ | 8.1 MB 32.5 MB/s eta 0:00:01 |█████████████████████████████▍ | 13.3 MB 32.5 MB/s eta 0:00:01 Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0) Installing collected packages: pytz, numpy, pandas Successfully installed numpy-1.19.2 pandas-1.1.2 pytz-2020.1
from urllib.request import urlretrieve
urlretrieve('https://hub.jovian.ml/wp-content/uploads/2020/09/italy-covid-daywise.csv', 
            'italy-covid-daywise.csv')
('italy-covid-daywise.csv', <http.client.HTTPMessage at 0x7f1c03ad1e10>)

Pandas Basics

import pandas as pd
df = pd.read_csv('italy-covid-daywise.csv')