Run SQL in Jupyter Notebooks - Python Recipes 

Learn how to use Jupyter Notebooks to read and right data from Databases with SQL.
The procedures shown on this video work with any database that has a python API and can serve as a quick and practical way to retrieve and/or report data for analysis.
#jupiter #jupyter #sql #python
Table of Contents:
00:32 - Why would I use SQL in Jupyter Notebooks?
01:00 - Subscribe and Like
01:25 - Importing rquired libraries
01:55 - Install iPython-sql library
02:10 - Creating Demo Data
03:27 - Connect to the db and run SQL
SUBSCRIBE TO OUR RU-vid CHANNEL
/ @tekminded
################################
CODE
################################
import libraries
import pandas as pd
import sqlite3
install the ipython-sql libray
!pip install ipython-sql
create a dataframe to import data for the tutorial
df= pd.DataFrame({'name': ['Juan', 'Victoria', 'Mary'],
'age': [23,34,43],
'city': ['Miami', 'Buenos Aires','Santiago']})
df
We will sqlite3 library and create a connection
cnn = sqlite3.connect('jupyter_sql_tutorial.db')
df.to_sql('people', cnn)
%load_ext sql
%sql sqlite:///jupyter_sql_tutorial.db
%%sql
SELECT *
FROM people
%%sql
SELECT count(*)
FROM people
%%sql
SELECT sum(age) as 'age_sum'
FROM people
################################
/ CODE
################################