How to uninstall Numpy in Python

In this tutorial, we will show you how to uninstall numpy in Python using different methods.

Updated March 29, 2023

Hello and welcome to this beginner’s tutorial on how to uninstall numpy in Python. Sometimes, you may need to uninstall a package from your Python environment for various reasons, such as conflicts with other packages or to upgrade to a newer version. In this tutorial, we will show you how to uninstall numpy in Python using different methods.

Method 1: Using pip

The most common way to uninstall a package in Python is to use pip, the package installer for Python. To uninstall numpy using pip, simply open your command prompt or terminal and run the following command:

pip uninstall numpy

This will uninstall numpy from your Python environment. If you have multiple versions of Python installed, you may need to specify the Python version by using the pip command for that specific version, for example:

pip3 uninstall numpy

This will uninstall numpy from the Python 3 environment.

Method 2: Using Anaconda

If you are using the Anaconda distribution for Python, you can uninstall numpy using the Anaconda Navigator or the Anaconda prompt. To uninstall numpy using the Anaconda Navigator, simply follow these steps:

  1. Open the Anaconda Navigator
  2. Select the environment that you want to modify (e.g. base)
  3. Click on the “Installed” tab
  4. Search for numpy
  5. Click on the checkbox next to numpy to select it
  6. Click on the “Mark for Removal” button
  7. Click on the “Apply” button to uninstall numpy
  8. Alternatively, you can uninstall numpy using the Anaconda prompt by running the following command:
conda uninstall numpy

This will uninstall numpy from the selected environment.

Conclusion

In this tutorial, we have shown you two different ways to uninstall numpy in Python. Depending on your specific use case, one method may be more appropriate than the other. Remember to always test your code and make sure it works as expected.

Keep practicing and have fun with Python programming!

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