How to schedule a Jupyter Notebook to run automatically?

Learn how to schedule a Jupyter Notebook to run automatically in our step-by-step guide. Boost your productivity with automated data analysis tasks.

Hire Top Talent

Are you a candidate? Apply for jobs

Quick overview

The problem is about automating the execution of a Jupyter Notebook. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. The user wants to know how to schedule a Jupyter Notebook to run automatically at specific times or intervals without manual intervention. This could be useful for tasks such as data collection, data analysis, or report generation that need to be done regularly.

Hire Top Talent now

Find top Data Science, Big Data, Machine Learning, and AI specialists in record time. Our active talent pool lets us expedite your quest for the perfect fit.

Share this guide

How to schedule a Jupyter Notebook to run automatically: Step-by-Step guide

Step 1: Install Required Libraries
Firstly, you need to install the required libraries. You can do this by running the following commands in your Jupyter notebook:

!pip install papermill
!pip install nbconvert

Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. Nbconvert allows you to convert your Jupyter notebook into other formats like HTML, LaTeX, PDF, Markdown, etc.

Step 2: Create a Jupyter Notebook
Create a Jupyter notebook that you want to schedule. Let's say the name of the notebook is 'my_notebook.ipynb'.

Step 3: Parameterize Your Notebook
If your notebook requires parameters to run, you can parameterize your notebook using papermill. You can do this by adding a new cell in your notebook and tagging it as 'parameters'. You can add tags from 'View' -> 'Cell Toolbar' -> 'Tags'. In the 'parameters' cell, define your parameters. For example:

parameters
input_path = 'default_path'

Step 4: Execute Your Notebook with Parameters
You can execute your notebook with parameters using papermill. Run the following command in a new Jupyter notebook or Python script:

import papermill as pm

pm.execute_notebook(
   'my_notebook.ipynb',
   'output.ipynb',
   parameters = dict(input_path='new_path')
)

This will create a new notebook 'output.ipynb' with the updated parameters.

Step 5: Schedule Your Notebook
To schedule your notebook, you can use a task scheduler like cron (for Unix-based systems) or Task Scheduler (for Windows).

For cron:

  • Open your terminal.
  • Type crontab -e to edit your cron jobs.
  • Add a new line in the following format: * * * * * /path/to/python /path/to/your/script.py. This will run your script every minute. You can adjust the time according to your needs.

For Task Scheduler:

  • Open Task Scheduler.
  • Click on 'Create Basic Task'.
  • Name your task and add a description.
  • Choose when you want the task to start.
  • Choose 'Start a Program'.
  • Browse and select your Python executable file (python.exe) and add the path to your script in the 'Add arguments' field.
  • Finish the setup.

Now, your Jupyter notebook will run automatically according to the schedule you set.

Join over 100 startups and Fortune 500 companies that trust us

Hire Top Talent

Our Case Studies

CVS Health, a US leader with 300K+ employees, advances America’s health and pioneers AI in healthcare.

AstraZeneca, a global pharmaceutical company with 60K+ staff, prioritizes innovative medicines & access.

HCSC, a customer-owned insurer, is impacting 15M lives with a commitment to diversity and innovation.

Clara Analytics is a leading InsurTech company that provides AI-powered solutions to the insurance industry.

NeuroID solves the Digital Identity Crisis by transforming how businesses detect and monitor digital identities.

Toyota Research Institute advances AI and robotics for safer, eco-friendly, and accessible vehicles as a Toyota subsidiary.

Vectra AI is a leading cybersecurity company that uses AI to detect and respond to cyberattacks in real-time.

BaseHealth, an analytics firm, boosts revenues and outcomes for health systems with a unique AI platform.

Latest Blogs

Experience the Difference

Matching Quality

Submission-to-Interview Rate

65%

Submission-to-Offer Ratio

1:10

Speed and Scale

Kick-Off to First Submission

48 hr

Annual Data Hires per Client

100+

Diverse Talent

Diverse Talent Percentage

30%

Female Data Talent Placed

81