How to Obtain Jupyter Notebooks Path

In this blog post, we will discuss different methods to obtain Jupyter Notebook’s path.

Method 1: Using the os Module

The first method to obtain Jupyter Notebook’s path is by using the os module. The os module provides a way of using operating system dependent functionality like reading or writing to the file system. Here is the code snippet to obtain the Jupyter Notebook’s path using the os module:

import os

notebook_path = os.getcwd()
print(notebook_path)

The os.getcwd() method returns the current working directory (CWD) of the current process. In this case, the current process is the Jupyter Notebook server, and the CWD is the directory where the Jupyter Notebook is located. The print() statement prints the notebook’s path to the console.

Method 2: Using the ipykernel Module

The second method to obtain Jupyter Notebook’s path is by using the ipykernel module. This module provides access to the current Jupyter Notebook’s information, including the path. Here is the code snippet to obtain the Jupyter Notebook’s path using the ipykernel module:

from ipykernel import get_connection_file
import os

connection_file = get_connection_file()
notebook_path = os.path.dirname(connection_file)
print(notebook_path)

The get_connection_file() method returns the path to the JSON connection file for the current kernel. The connection file is a JSON file that contains information about the current Jupyter Notebook. The os.path.dirname() method returns the directory name of the path. In this case, it returns the directory name of the connection file, which is the directory where the Jupyter Notebook is located.

Conclusion

In this blog post, we discussed different methods to obtain Jupyter Notebook’s path. We used the os module and the ipykernel module to obtain the path. These methods are useful when you need to programmatically access the path to the current Jupyter Notebook. Using these methods, you can automate tasks that require the Jupyter Notebook’s path, such as saving data to the same directory as the Jupyter Notebook.

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