When prompted with ‘Proceed ([y]/n)?’ typey

screenshot of terminal to conda install jupyter in which the user is asked whether to proceed with updating packages ca-certificates, certify, and openssl

Once the installation completes, in the Anaconda Prompt, type:

jupyter notebook

A Jupyter Notebook interface will appear in your default browser.

An Anaconda Prompt might also open and display a URL. If it does, do not close it until you are done working with Jupyter Notebook. If it does not appear, don’t worry — this has to do with your operating system and will not affect Jupyter Notebook’s performance.

terminal showing Jupyter Notebook running with possible localhost urls

Install additional Python packages

Let’s install a few packages to get you started working with data in Jupyter Notebook. These are all Python packages, so we will usepipinstead ofcondato install them.

We will load:

• pandasfor working with DataFrames
• scikit-learnfor machine learning
• Matplotlibfor visualizations
• seabornfor statistical visualizations
• NLTKfor text analysis
• spaCyfor more text analysis

Note that some of these packages depend on other packages. For example, scikit-learn requiresNumPy(among others). Package managers (like pip) automatically find all the dependencies and install them for you. So when you install scikit learn, pip automatically installsNumPyand any other dependencies scikit-learn needs.

Open a new Anaconda Prompt and type the following commands (press ‘Enter’ after each row):

pip install pandas 
pip install scikit-learn 
pip install matplotlib 
pip install seaborn 
pip install nltk 
pip install beautifulsoup4 
Copy to clipboard

pip install pandas 
pip install scikit-learn 
pip install matplotlib 
pip install seaborn 
pip install nltk 
pip install beautifulsoup4

You can check to be sure these are all installed by starting Python in your Anaconda Prompt.

On a new line, typepython

The header will change to be>>>:

terminal showing python version “Python 3.8.5”

You can import each package on a separate line or take a shortcut and import them all at once. Type:

import pandas 
import sklearn 
import matplotlib 
import seaborn 
import nltk 
import bs4 
Copy to clipboard

import pandas 
import sklearn 
import matplotlib 
import seaborn 
import nltk 
import bs4

Or:

import pandas, sklearn, matplotlib, seaborn, nltk, bs4 
Copy to clipboard

import pandas, sklearn, matplotlib, seaborn, nltk, bs4

the import statement: import pandas, sklearn, matplotlib, seaborn, nltk, bs4 is shown in a terminal window

If nothing happens, everything is installed correctly, and you are ready to move on to the next article. Congratulations!!!

Troubleshooting installation issues

What if it didn’t work? You will probably get this error message:

ModuleNotFoundError: No module named MODULE

(Note that ‘packages’, ‘modules’, and ‘libraries’ all refer to the same thing.)

A user has run the statement import scikitlearn in a Python terminal. The terminal displays the following error: ModuleNotFoundError: No module named 'scikitlearn'

No worries — let’s debug! Usually, this is caused by a typo. There are two places to look:

• your import statement
• your installation statement

Check the import statement first. Tryimport MODULE, where MODULE is the module listed in the Error message. (In our case above, the statementimport scikitlearnwas the problem because scikit-learn must be imported withimport sklearn.) If there is no typo there, go back to the installation step.

You will have to open a new Anaconda Prompt (this one is still running Python). Try installing the module specified in the error message usingpip install MODULE. Then return to your window running Python and try importing the module again.

If you are still having trouble, be sure to reach out on theCodecademy forumfor help.

How to install Jupyter Notebook on Mac using Anaconda

You will need to have access to your BASH or zsh Terminal. This is also called the Command Line Interface (CLI). If this is new to you, please read the articleCommand Line Interface Setupor take aBash coursebefore proceeding.

Mac Anaconda

Go to theAnaconda Downloads pageand download the 64-bit Graphical Installer for Mac.

• Double click on the .pkg file and clickInstall.
• Read and agree to the licensing terms.
• Select if you want to install for ‘Just Me’ or ‘All Users’. If you are installing for ‘All Users’, you must have 4. Administrator privileges.
• You will be prompted to select the installation location. By default, Anaconda should try to install in your home directory. We recommend accepting this default. ClickInstall.
• You will be asked if you want to add Anaconda to your PATH environment variable. Do not add Anaconda to the PATH because it can interfere with other software.
• You will be asked if you want Anaconda to be your default version of Python. We recommend ‘Yes’. There are some rare instances where you would not make Anaconda the default version, but they are beyond the scope of this article.
• Click theInstallbutton.
• You may be asked if you want to install PyCharm. PyCharm is anotherIDE(similar to Jupyter Notebook), but it is not necessary right now.
• Go ahead and finish the installation.

Verify Anaconda installation

Now, you can verify your installation. Go to your Applications folder and double-click on Anaconda Navigator.

If the shortcut doesn’t appear (since Anaconda isn’t a regular program, it may appear differently depending on your operating system), clickCommand+Shiftand search for ‘Anaconda Navigator’. If you have to do this, we recommend manually creating a shortcut to your Applications, Desktop, or any other folder you find convenient.

Double click on it, and the Anaconda Navigator window should appear.

Your applications screen may look slightly different from this one, but that is ok. Click theLaunchbutton under Jupyter Notebook. A Jupyter Notebook interface will appear in your default browser.

You may also notice that an Anaconda Prompt also opened. This needs to stay open while you are working in Jupyter Notebook. For more information about the features available in Anaconda, see theAnaconda Documentation.

terminal showing possible local host urls for running Jupyter Notebook

How to install Jupyter Notebook on Mac using Miniconda

Go to theMiniconda Downloads page. Download the Miniconda3 MacOSX 64-bit pkg

• Double click on the.pkgfile and clickContinue.
• Read and agree to the licensing terms.
• Select if you want to install for ‘Just Me’ or ‘All Users’. If you are installing for ‘All Users’, you must have Administrator privileges.
• You will be prompted to select the installation location. By default, Anaconda should try to install in your home directory. We recommend accepting this default. ClickInstall.
• You will be asked if you want to add Miniconda to your PATH environment variable. Do not add Miniconda to the PATH because it can interfere with other software.
• You will be asked if you want Miniconda to be your default version of Python. We recommend ‘Yes’. There are some rare instances where you would not make Miniconda the default version, but they are beyond the scope of this article.
• Click theInstallbutton.

Verify Miniconda installation

First, let’s verify that Miniconda was installed. Open a BASH or zsh terminal and type:

conda --version

terminal showing conda version 4.9.2

Install Jupyter Notebook

Now we need to install Jupyter using conda. In the BASH or zsh terminal, type:

conda install jupyter 
Copy to clipboard

When prompted with ‘Proceed ([y]/n)?’ typey.

terminal displaying conda install jupyter option displaying ‘Proceed ([y]/n)?’: y

Once the installation completes, in the BASH or zsh terminal, type:

You may also notice that the BASH or zsh terminal is now displaying a url. This needs to stay open while you are working in Jupyter Notebook.

terminal showing local host urls running Jupyter Notebook

Install additional Python packages

• pandasfor working with DataFrames.
• scikit-learnfor machine learning.
• Matplotlibfor visualizations.
• seabornfor statistical visualizations.
• NLTKfor text analysis.
• spaCyfor more text analysis.

Note that some of these packages depend on other packages. For example, scikit-learn requiresNumPy(among other packages). Package managers (like pip) automatically find all the dependencies and install them for you. So when you install scikit-learn, pip automatically installs NumPy, and any other dependencies scikit-learn needs.

Open a new BASH or zsh terminal and type the following commands:

pip install pandas 

pip install sklearn 

pip install matplotlib 

pip install seaborn 

pip install nltk 

pip install beautifulsoup4

terminal showing pip install packages: pandas, sklearn, matplotlib, seaborn, nltk, beautiful soup with a final statement 'Successfully installed MODULE" after each package has been installed

You can check to be sure these are all installed by starting Python in your Terminal.

On a new line, typepython.

The header will change to>>>

terminal showing “Python 3.8.5” and Anaconda after user has typed "python"

You can import each package on a separate line or take a shortcut and import them all at once.

import pandas 
import sklearn 
import matplotlib 
import seaborn 
import nltk 
import bs4 
Copy to clipboard

import pandas, sklearn, matplotlib, seaborn, nltk, bs4 
Copy to clipboard

terminal showing import pandas, sklearn, matplotlib, seaborn, nltk, bs4 and new line

Troubleshooting installation issues

What if they are not installed correctly? You will get this error message:

(Note that ‘packages’ and ‘modules’ are the same thing.)

A user has run the statement import scikitlearn in a Python terminal. The terminal displays the following error: ModuleNotFoundError: No module named 'scikitlearn'

You will have to open a new Anaconda Prompt (this one is still running Python). Try importing the module specified in the error message usingpip install MODULE. Then return to your window running Python and trying to import the module again.

If you are still having trouble, be sure to reach out on theCodecademy forumfor help.

Next Steps After Installing Jupyter Notebook

Now that you have a development environment installed on your computer, you are ready to start working locally! For more on using Jupyter, read the articleWriting and Debugging Code in Jupyter.

Conclusion

You now have Jupyter Notebook successfully installed on your system using conda. Whether you chose Anaconda for its comprehensive package collection or Miniconda for its minimal footprint, you’re equipped with a powerful data science environment. Start exploring your local Jupyter setup and begin building your first data science projects!

Frequently asked questions

1. What’s the difference between Anaconda and Miniconda for Jupyter Notebook installation?

Anaconda comes with Jupyter Notebook pre-installed and includes over 150 data science packages, requiring 3GB of space. Miniconda is a minimal installer that lets you use conda install jupyter notebook command manually, requiring only 50MB initially.

2. Can I use conda to install Jupyter Notebook?

Yes, conda is the recommended installation method. Conda manages both the Jupyter Notebook application and its dependencies more reliably than other installation methods.

3. Which installation method is best for beginners?

We recommend Anaconda for beginners because it includes Jupyter Notebook and essential data science packages pre-installed. Advanced users who prefer minimal installations should choose Miniconda and use conda install jupyter notebook.

4. What should I do if conda install jupyter notebook fails?

First, verify your conda installation withconda --version. If conda is working, try updating conda withconda update condabefore running conda install jupyter notebook again. Check our troubleshooting sections above for specific error solutions.

'The Codecademy Team, composed of experienced educators and tech experts, is dedicated to making tech skills accessible to all. We empower learners worldwide with expert-reviewed content that develops and enhances the technical skills needed to advance and succeed in their careers.'