How to Execute a py file from a ipynb file on the Jupyter Notebook

In this blog, explore executing Python scripts from Jupyter notebooks for seamless data analysis and visualization. Learn how to run .py files within your .ipynb projects, enhancing your data science workflow.

As a data scientist, you often work with Jupyter notebooks to perform data analysis and create visualizations. However, there may be times when you need to execute a Python script from within a Jupyter notebook. In this blog post, we will discuss how to execute a *.py file from a *.ipynb file on the Jupyter notebook.

Overview

Jupyter notebooks are a popular tool among data scientists for performing data analysis and creating visualizations. They allow you to write and execute code in a web-based interface, making it easy to collaborate with others and share your work.

However, there may be times when you need to execute a Python script from within a Jupyter notebook. This may be because the script contains functionality that is not available in the notebook environment, or because you want to keep your code organized in separate files.

Fortunately, executing a *.py file from a *.ipynb file on the Jupyter notebook is a straightforward process.

Prerequisites

Before we dive into the steps for executing a Python script from within a Jupyter notebook, there are a few prerequisites that you need to have in place:

  • Jupyter notebook installed on your system
  • A Python script (*.py file) that you want to execute
  • A Jupyter notebook (*.ipynb file) that will call the Python script

Assuming you have these prerequisites in place, let’s move on to the steps for executing a Python script from within a Jupyter notebook.

Step 1: Import the os Module

The first step is to import the os module, which provides a way to interact with the operating system. We will use this module to execute the Python script from within the Jupyter notebook.

import os

Step 2: Specify the Path to the Python Script

Next, you need to specify the path to the Python script that you want to execute. You can do this by creating a variable that contains the path to the script.

script_path = '/path/to/my_script.py'

Replace /path/to/my_script.py with the actual path to your Python script.

Step 3: Execute the Python Script

Now that you have imported the os module and specified the path to the Python script, you can execute the script using the following command:

os.system(f'python {script_path}')

This command uses the os.system function to execute the Python script. The python keyword specifies that we want to execute a Python script, followed by the path to the script (specified by the script_path variable).

Step 4: Call the Python Script from the Jupyter Notebook

Finally, you need to call the Python script from within the Jupyter notebook. You can do this by using the ! operator followed by the command to execute the Python script.

!python /path/to/my_script.py

Replace /path/to/my_script.py with the actual path to your Python script.

Alternatively, you can use the %run magic command, which allows you to run a Python script as if it were a Jupyter notebook cell.

%run /path/to/my_script.py

Replace /path/to/my_script.py with the actual path to your Python script.

Conclusion

In conclusion, executing a *.py file from a *.ipynb file on the Jupyter notebook is a simple process that can be completed in just a few steps. By importing the os module, specifying the path to the Python script, and executing the script, you can easily incorporate external Python functionality into your Jupyter notebook.

Remember that organizing your code into separate files can help keep your notebooks clean and easy to read. By following these steps, you can keep your code organized while still taking advantage of the power of Jupyter notebooks.


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