How to Install joblib in Python?

by 
pip install joblib

The Python joblib library is among the top 100 Python libraries, with more than 27,704,455 downloads. This article will show you everything you need to get this installed in your Python environment.

How to Install joblib on Windows?

  1. Type "cmd" in the search bar and hit Enter to open the command line.
  2. Type “pip install joblib” (without quotes) in the command line and hit Enter again. This installs joblib for your default Python installation.
  3. The previous command may not work if you have both Python versions 2 and 3 on your computer. In this case, try "pip3 install joblib" or “python -m pip install joblib“.
  4. Wait for the installation to terminate successfully. It is now installed on your Windows machine.

Here’s how to open the command line on a (German) Windows machine:

Open CMD in Windows

First, try the following command to install joblib on your system:

pip install joblib

Second, if this leads to an error message, try this command to install joblib on your system:

pip3 install joblib

Third, if both do not work, use the following long-form command:

python -m pip install joblib

The difference between pip and pip3 is that pip3 is an updated version of pip for Python version 3. Depending on what’s first in the PATH variable, pip will refer to your Python 2 or Python 3 installation—and you cannot know which without checking the environment variables. To resolve this uncertainty, you can use pip3, which will always refer to your default Python 3 installation.

How to Install joblib on Linux?

You can install joblib on Linux in four steps:

  1. Open your Linux terminal or shell
  2. Type “pip install joblib” (without quotes), hit Enter.
  3. If it doesn’t work, try "pip3 install joblib" or “python -m pip install joblib“.
  4. Wait for the installation to terminate successfully.

The package is now installed on your Linux operating system.

How to Install joblib on macOS?

Similarly, you can install joblib on macOS in four steps:

  1. Open your macOS terminal.
  2. Type “pip install joblib” without quotes and hit Enter.
  3. If it doesn’t work, try "pip3 install joblib" or “python -m pip install joblib“.
  4. Wait for the installation to terminate successfully.

The package is now installed on your macOS.

How to Install joblib in PyCharm?

Given a PyCharm project. How to install the joblib library in your project within a virtual environment or globally? Here’s a solution that always works:

  • Open File > Settings > Project from the PyCharm menu.
  • Select your current project.
  • Click the Python Interpreter tab within your project tab.
  • Click the small + symbol to add a new library to the project.
  • Now type in the library to be installed, in your example "joblib" without quotes, and click Install Package.
  • Wait for the installation to terminate and close all pop-ups.

Here’s the general package installation process as a short animated video—it works analogously for joblib if you type in “joblib” in the search field instead:

Make sure to select only “joblib” because there may be other packages that are not required but also contain the same term (false positives):

How to Install joblib in a Jupyter Notebook?

To install any package in a Jupyter notebook, you can prefix the !pip install my_package statement with the exclamation mark "!". This works for the joblib library too:

!pip install my_package

This automatically installs the joblib library when the cell is first executed.

How to Resolve ModuleNotFoundError: No module named ‘joblib’?

Say you try to import the joblib package into your Python script without installing it first:

import joblib
# ... ModuleNotFoundError: No module named 'joblib'

Because you haven’t installed the package, Python raises a ModuleNotFoundError: No module named 'joblib'.

To fix the error, install the joblib library using “pip install joblib” or “pip3 install joblib” in your operating system’s shell or terminal first.

See above for the different ways to install joblib in your environment.

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