How to Run a Python Jupyter Notebook Daily Automatically: A Guide for Data Scientists

In this blog, we will learn how to eliminate the need for manual execution of your Jupyter Notebook on a daily basis. Seeking to enhance efficiency and save valuable time? Delve into this guide, where we demonstrate the automation of Python Jupyter Notebook execution on a daily schedule.

Are you tired of manually running your Jupyter Notebook every day? Do you want to automate the process to save time and increase efficiency? In this guide, we’ll show you how to run a Python Jupyter Notebook daily automatically.

Why Automate Jupyter Notebooks?

Jupyter Notebooks are a powerful tool for data scientists and software engineers. They allow you to explore data, create visualizations, and build machine learning models all in one place. However, manually running Jupyter Notebooks every day can be time-consuming and tedious. Automating Jupyter Notebooks offers several advantages:

  • Time Savings: Schedule notebooks to run automatically, freeing up your time for more complex tasks.
  • Consistency: Ensure regular execution of notebooks without the risk of forgetting.
  • Data Pipeline Integration: Seamlessly integrate notebook execution into your data processing pipeline.
  • Resource Optimization: Schedule notebooks to run during off-peak hours, optimizing resource utilization.

Step 1: Install Required Packages

Before we begin, make sure that you have the following packages installed:

  • jupyter
  • nbconvert
  • cron

You can install these packages using pip:

pip install jupyter nbconvert cron

Step 2: Create a Python Script

Next, create a Python script that will run your Jupyter Notebook. Here’s an example script:

import os
import datetime

# Set the path to your Jupyter Notebook
notebook_path = '/path/to/your/notebook.ipynb'

# Set the path to your log file
log_file_path = '/path/to/your/log.txt'

# Get the current date and time
now =

# Run the Jupyter Notebook
os.system(f'jupyter nbconvert --execute {notebook_path} --output {now.strftime("%Y-%m-%d")}.ipynb >> {log_file_path} 2>&1')

This script will run your Jupyter Notebook and save the output with the current date in the filename. It will also log any output to a text file.

Step 3: Automating Jupyter Notebooks

3.1. Using Task Scheduler (Windows)

On Windows, Task Scheduler provides a user-friendly way to automate tasks. Follow these steps:

  1. Open Task Scheduler.
  2. Create a new task and set the trigger to daily.
  3. In the Actions tab, configure the action to start jupyter nbconvert with the desired notebook.

3.2. Using cron (Linux/Mac)

For Linux and Mac users, cron is a powerful tool for task scheduling. Open the crontab file using crontab -e and add an entry to execute the notebook daily.

Example cron entry:

0 0 * * * jupyter nbconvert /path/to/notebook.ipynb --to html --output /path/to/output.html

3.3. Cloud-Based Solutions (e.g., AWS Lambda)

Cloud services like AWS Lambda allow you to run code without managing servers. Package your notebook code and dependencies, then deploy it on AWS Lambda, triggering it with a scheduled event.

Pros and Cons Comparison

Task Scheduler (Windows)- User-friendly interface- Limited to Windows environments
cron (Linux/Mac)- Powerful and customizable- Requires familiarity with cron syntax
Cloud-Based Solutions- Scalable, no need to manage servers- May incur costs, learning curve for cloud services

Common Errors and Troubleshooting

Notebook Not Executing

  • Issue: Incorrect path or environment variables.
  • Solution: Use absolute paths and ensure necessary environment variables are set.

Permission Errors

  • Issue: Insufficient permissions to execute the notebook.
  • Solution: Adjust file permissions and grant necessary access.

Dependency Issues

  • Issue: Missing dependencies when running on a different environment.
  • Solution: Use virtual environments or containerization (e.g., Docker) to manage dependencies.


Automating your Jupyter Notebooks can save you time and increase efficiency. By following the steps outlined in this guide, you can easily set up a cron job to run your notebooks automatically every day. With your notebooks always up-to-date, you can focus on more important tasks, like analyzing data and building models.

About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Request a demo today to learn more.