Connect Jupyter Notebook to Oracle Autonomous Database


Jupyter Notebook is an open source web application for Machine Learning and Data Exploration.

In this post I will show you how to connect a Jupyter Notebook to Oracle Autonomous Database and explore the data using Python.

The assumption is we already have a Jupyter notebook sandbox running on Oracle Cloud compute instance.


Connect to your OCI compute instance using SSH.

Start your Jupyter notebook environment and create a new notebook.

$jupyter notebook

or if running as root

#jupyter notebook --allow-root

Install the required Python libraries.

# Install required libraries
!pip install sqlalchemy pandas numpy cx_oracle matplotlib

Import the libraries

import sqlalchemy as db
import pandas as pd
import numpy as np
import os
import matplotlib.pyplot as plt

Create a new connection with Oracle Autonomous Database:

os.environ['TNS_ADMIN']='<path to your Oracle db wallet on OCI instance>'

engine = db.create_engine('oracle://<user>:<password>@<service type>')


os.environ['TNS_ADMIN'] = '/opt/oracle/instantclient_19_3/network/admin/'

engine = db.create_engine('oracle://ADMIN:Welcome!@smatATP_TP')

Import a new data set to Oracle Autonomous Database using the Jupyter notebook:

Since you are using OCI compute, you will have to upload the dataset on your compute instance. Then using the Jupyter notebook, load the data on your Database.


df = pd.read_csv('/home/opc/applications/Data/iris.csv')
 df.to_sql('iris', engine, index=False, if_exists='replace')

Retrieve data from the table created.

df = pd.read_sql("select * from iris", con=engine)

total = pd.read_sql("select count(*) from iris", con=engine)

Use Matplotlib to explore the data.

plt.scatter(df.sepal_length, df.sepal_width)

Happy Coding!


Build a machine learning sandbox on Oracle Cloud

Connect to Oracle ATP through Jupyter Notebook

Python, Oracle ADWC and Machine Learning

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I am a Cloud Solutions Engineer working with a leading cloud solutions company. I have more than 5 years’ experience in the Tech ecosystem. I began my career as a software developer. I am a tech enthusiast, an autodidact whose interests includes Data Management, Cloud Native Development, Mobile and Bots Development, Integration, Low Code Development, AI, Analytics just to say the least.

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