![Modulenotfounderror: no module named jupyter_core [SOLVED]](https://itsourcecode.com/wp-content/uploads/2023/02/modulenotfounderror-no-module-named-jupyter_core.png)
In this article, we will show you how to solve the modulenotfounderror: no module named jupyter_core.
If you are encountering this error, it may be because the jupyter_core module is not installed in your Python environment.
What is Python?
Python is one of the most popular programming languages.
It is used for developing a wide range of applications.
In addition, Python is a high-level programming language that is used by most developers due to its flexibility.
Now, let’s tackle what a jupyter_core module is.
What is jupyter_core?
A jupyter_core provides a core purpose for jupyter projects.
Aside from jupyter projects, it also provides core functionality to JupyterLab, JupyterHub, and Jupyter Notebook.
In addition, jupyter_core is a Python package.
It is not a built-in module in Python, so it needs to be installed personally.
See below for how to install it:
How to solve “no module named jupyter_core” in Python
The following are the steps on how to resolve the modulenotfounderror: no module named jupyter_core.
- Check if the ‘jupyter_core’ module is installed.
The first step is to check if the jupyter_core module is installed in your Python environment or system.
To check, open the cmd or command prompt, then type the command pip list.
The command pip list will show you the list of installed modules on your system.
Moving on, if the jupyter_core module is not found, move to the next step.
However, if the jupyter_core module is already installed, skip the next steps and proceed to the tip below. - Install the ‘jupyter_core’ module.
If the jupyter_core module is not found in your Python environment or system, install it.
To install, input the command pip install jupyter_core.
If that doesn’t work, try this one: pip install jupyter-core.
The commands above will download and install the latest version of the jupyter_core module on your system. - Import.
You can now import jupyter_core in your code if the installation is successful.
To import, use the import statement:
import jupyter_core
However, if after successfully installing jupyter_core on your system you still get this error, try the steps below. - Check out the Python version.
Confirm that you’re using the right Python version that has the jupyter_core module installed if you have numerous versions of Python installed on your system.
To do so, you can check your Python version by inputting python –version into your command prompt.
The command python –version will display the version of Python installed on your system.
Note: Before installing or using the jupyter_core module, activate your virtual environment if you’re using one.
However, be sure your IDE or editor is using the appropriate Python interpreter and has jupyter_core installed if you’re using one.
Tips
If you’ve already installed a jupyter_core module in your system and you encounter this error, it may be an old version so try to upgrade it.
- To upgrade the jupyter_core module, input the following command:
pip install –upgrade jupyter_core
The command pip install –upgrade jupyter_core will upgrade the jupyter_core module to its latest version.
If your jupyter_core module is already the latest version, this will come out: “Requirement already satisfied.”
However, if you get an error message stating that “pip” cannot be found, use the command python -m.
It will look like this: python -m pip install jupyter_core.
There’s also a possibility that your pip is outdated, and you have to upgrade it.
To do so, enter the following command: pip install –upgrade pip.
The command pip install –upgrade pip will upgrade the pip package manager to its newest version.
However, if your pip is already in the latest version, this will come out: “Requirement already satisfied.”
Conclusion
In conclusion, the error modulenotfounderror: no module named jupyter_core can be easily solved by:
“checking if the jupyter_core module is installed in your Python environment and, if not, by installing it.”
By following the guide above, there’s no doubt that you’ll be able to resolve this error quickly.
I think that is all for this article, IT source coders!
We hope you’ve learned a lot from this.
Thank you for reading!