JavaScript error: Ipython is not defined in Jupyter Lab

Are you encountering the JavaScript error: Ipython is not defined error message while working with an application within the browser like Jupyter Lab.

And you are confused about how to troubleshoot this error?

Worry no more as this article shows you the solutions that will be able to help you fix this error.

What does “Ipython” mean?

The IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language.

It offers an improved environment for executing Python code, providing features like code autocompletion, syntax highlighting, and enhanced output display.

However, if you encounter the error message “JavaScript error: Ipython is not defined,” it means that the code is attempting to utilize the ipython object in JavaScript.

Unfortunately, this object is not recognized or accessible in the current context, leading to the error.

What is “JavaScript error Ipython is not defined”?

The JavaScript error: ipython is not defined error message occurs when you’re trying to use the ipython object without including the necessary libraries or modules or when there are compatibility issues between different browsers.

This error message indicates that the JavaScript interpreter encountered a reference to the ipython object, which is not defined or accessible in the current scope.

When you come across this error, it’s important to know why it happened. Understanding the cause will help you fix it faster and avoid unnecessary frustration.

By figuring out what went wrong, you can quickly find the solution and save time in the process.

Why does the “Ipython is not defined” error message occur?

This error message suggests that there is a problem with the JavaScript code that is being executed.

Specifically, the code is trying to access an object or variable named Ipython, which is not defined or not available in the current context.

This error jupyter ipython is not defined can occur for various reasons, such as:

👉 The IPython library is not correctly installed on your system.

👉 Another possible cause of this error is a problem with the version of IPython in use.

In particular, if you are using an older version of IPython, it may not be compatible with the version of Jupyter or another IPython environment.

How to fix the “JavaScript error: ipython is not defined”?

Here are the step-by-step solutions that will help you resolve the error:

Solution 1: Check if IPython is installed

By checking the import statement, you can determine whether IPython is installed and available for use in your Jupyter Notebook.

To check if IPython is installed in your Jupyter Notebook, you can try importing it using the following command in a code cell.

import IPython 

If IPython is installed, the import statement will execute without any errors.

However, if IPython is not installed, you will receive an error message indicating that the module or package cannot be found, which means that IPython is not installed.

Solution 2: Install IPython

To fix this issue, you can install the Ipython using the following command:

!pip install IPython  

If you are using Jupyter Notebook and you find that IPython is not installed or available, you may need to install the IPython kernel.

The IPython kernel is responsible for executing Python code within Jupyter Notebook.

To install the IPython kernel, you can use the following command in your terminal or command prompt:

!pip install ipykernel  

Solution 3: Check the version of IPython

To check the version of IPython you have installed, you can use the following command:

 import IPython; print (IPython.version)  

If you have an older version of IPython, try upgrading to the latest version by running the following command:

!pip install --upgrade IPython  

Solution 4: Reinstall JupyterLab and IPython

After upgrading your IPython and you are encountering this error then you can try reinstalling the JupyterLab and IPython.

Just in case you are using JupyterLab.

To do this, first, you have to uninstall the JupyterLab and IPython using pip:

 !pip uninstall jupyterlab ipython 

Then reinstall them using pip:

!pip install jupyterlab ipython 

Solution 5: Install the jupyter-matplotlib extension

Another solution for JupyterLab users is to install the jupyter-matplotlib extension which supports interactive matplotlib through JupyterLab.

📌Note: If you are using Jupyter Lab, it is recommended to have a version of the extension that is 3 or newer. If you need help installing an older version of the extension, refer to the following instructions.

To do this, first install the extension using conda:

conda install -c conda-forge ipympl 

Then install the required JupyterLab extensions:

jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib 

If you are using JupyterLab 2:

conda install nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter lab build

You can also install it using pip:

pip install ipympl 

If you are using JupyterLab 2:

pip install nodejs-bin 
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib

Bonus tips:

You can easily resolve the error by installing ipympl:

pip install ipympl 

After that add:

 %matplotlib ipympl ✅ 

before plot.

Solution 6: Use inline matplotlib

Alternatively, you can configure matplotlib to use inline instead. Add the following line before plotting the graph:

%matplotlib inline 

An additional solution for “JavaScript error: ipython is not defined”?

📌Before running your code in Jupyter Notebook within a virtual environment, it is important to confirm that the virtual environment is activated.

Occasionally, the IPython library may be unavailable in the virtual environment, leading to this error message.

To verify the activation status of the virtual environment, execute the following command.

!which python 

📌This error can also arise while you are using backtrader.

Your code for any mistakes or missing elements such as import statements, variable name typos, or syntax errors like missing semicolons.

By thoroughly reviewing the code, you can identify and fix the issue causing the error.

📌This error can also arise while you are working with Kaggle.

The error message “Ipython is not defined” means that there’s an issue with the JavaScript code.

It suggests that the code is trying to access something called “Ipython,” but it doesn’t exist or isn’t available in the current situation.

This error might be connected to the Kaggle platform, which could be missing or not properly loading the necessary functionality.

To fix the problem, check the Kaggle platform’s implementation and make sure it’s set up correctly.

Also, ensure that all required modules and packages are imported and loaded.

Conclusion

The JavaScript error: ipython is not defined error message occurs when you’re trying to use the ipython object without including the necessary libraries or modules or when there are compatibility issues between different browsers.

By executing the provided solutions above, you can master this Javascript error with the help of this guide.

We are hoping that this article helps you fix the error. Thank you for reading itsourcecoders 😊

Frequently Asked Questions

Is JavaScript still worth learning in 2026?
Yes. JavaScript runs on 98% of websites for the front-end, dominates the back-end via Node.js, powers mobile apps through React Native, builds desktop tools through Electron, and is the scripting layer for most AI tooling (LangChain.js, OpenAI SDK, Vercel AI). Whether you target web, mobile, AI, or full-stack capstones, JavaScript is the broadest single language you can learn.
What is the difference between var, let, and const?
var is function-scoped, hoisted to the top of its scope, and can be redeclared, which leads to bugs in modern code. let is block-scoped (only visible inside the nearest {}) and can be reassigned. const is block-scoped and cannot be reassigned, although object contents can still mutate. Default to const for everything, switch to let only when you actually need to reassign, and avoid var in any code written after 2017.
Which JavaScript version should I target in 2026?
Target ES2020 (ES11) as the safe baseline because every modern browser and Node.js 14+ supports it fully. ES2022 adds useful features like top-level await, private class fields with the # prefix, and the .at() array method. If you are writing for older browsers (IE11 or older Android WebViews), transpile down with Babel or use a build tool like Vite, esbuild, or webpack.
What is the best free editor for JavaScript?
Visual Studio Code is the industry standard, free, with built-in IntelliSense, debugger, terminal, Git, and a huge extension marketplace (ESLint, Prettier, GitHub Copilot, Tailwind). Install the JavaScript and TypeScript Nightly extension for the latest language features. JetBrains WebStorm is more powerful and free for students with a verified .edu email. For quick scratchpad work, the Chrome DevTools Sources panel includes a workspace and breakpoint debugger.
How do I run JavaScript locally vs in the browser?
In the browser: open DevTools with F12 (or right-click then Inspect), go to the Console tab, type or paste your code, press Enter. For HTML pages, add a script tag pointing to your .js file. Locally with Node.js: download Node from nodejs.org (LTS version), then run node script.js in your terminal from the file folder. Use the same Node setup for backend capstones, API integrations, and scripts that do not need a browser.
What can I build with JavaScript for my BSIT capstone?
Common BSIT capstones in JavaScript: full-stack web apps using React or Vue on the front-end with Node.js and Express on the back-end (MongoDB or MySQL for the database), real-time chat or notification systems using Socket.io, single-page dashboards with Chart.js or D3.js, cross-platform mobile apps with React Native, AI-powered chatbots using OpenAI SDK and LangChain.js, and Chrome extensions for productivity tools. Add Tailwind CSS for the UI and Vercel or Netlify for free deployment.
Caren Bautista

Technical Writer at PIES IT Solution

Responsible for crafting clear, well-structured, and beginner-friendly content across the platform. Handles the writing, proofreading, and editorial review of tutorials, guides, and documentation to ensure every article is accurate, readable, and easy to follow.

Expertise: Technical Writing · Content Creation · Documentation · Editorial Writing · JavaScript · TypeScript · Python · Python Errors · HTTP Errors · MS Excel  · View all posts by Caren Bautista →

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