import pandas as pd
import io
import requests
url="https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv"
s=requests.get(url).content
c=pd.read_csv(io.StringIO(s.decode('utf-8')))

# example from: https://stackoverflow.com/questions/32400867/pandas-read-csv-from-url

c

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
%matplotlib inline

!free

              total        used        free      shared  buff/cache   available
Mem:        2041052     1032116       77480        2036      931456      834604
Swap:       4194300       29100     4165200

!df

Filesystem     1K-blocks     Used Available Use% Mounted on
udev             1007500        0   1007500   0% /dev
tmpfs             204108      640    203468   1% /run
/dev/vda1       50633164 18226064  32390716  37% /
tmpfs            1020524        0   1020524   0% /dev/shm
tmpfs               5120        0      5120   0% /run/lock
tmpfs            1020524        0   1020524   0% /sys/fs/cgroup
/dev/vda15        106858     3668    103190   4% /boot/efi
tmpfs             204104        0    204104   0% /run/user/112
tmpfs             204104        0    204104   0% /run/user/1000

	Country	Region
0	Algeria	AFRICA
1	Angola	AFRICA
2	Benin	AFRICA
3	Botswana	AFRICA
4	Burkina	AFRICA
...	...	...
189	Paraguay	SOUTH AMERICA
190	Peru	SOUTH AMERICA
191	Suriname	SOUTH AMERICA
192	Uruguay	SOUTH AMERICA
193	Venezuela	SOUTH AMERICA