Code Ocean

is already included when you install Jupyter.

To install Jupyter, If you have Conda or pip installers available in your environment, you can just add package <code>Jupyter</code> . 

If you do not, you can add <code>python3-pip</code> , <code>python3-setuptools</code> , and <code>python3-wheel</code>  via apt-get, and then add <code>jupyter</code> via the pip3 installer (which will appear automatically when you've added <code>python3-pip</code> ).

- is already included when you install Jupyter.
- To install Jupyter, If you have Conda or pip installers available in your environment, you can just add package <code>Jupyter</code> . 
- If you do not, you can add <code>python3-pip</code> , <code>python3-setuptools</code> , and <code>python3-wheel</code>  via apt-get, and then add <code>jupyter</code> via the pip3 installer (which will appear automatically when you've added <code>python3-pip</code> ).

requires the package <code>IRkernel</code>: available either through <a href="https://cran.r-project.org/web/packages/IRkernel/index.html" rel="nofollow noopener noreferrer" target="_blank">CRAN</a>, or, if you have the Conda installer available, you can add package <code>r-irkernel</code> and then add the channel <code>r</code>  to Conda's <a href="https://help.codeocean.com/user-manual/advanced-environment-configuration/advanced-installer-configuration-in-the-package-management-system" rel="nofollow noopener noreferrer" target="_blank">list of available channels</a>.

You'll also need to run, in the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, the command <code>Rscript -e "IRkernel::installspec()"</code> .

- requires the package <code>IRkernel</code>: available either through <a href="https://cran.r-project.org/web/packages/IRkernel/index.html" rel="nofollow noopener noreferrer" target="_blank">CRAN</a>, or, if you have the Conda installer available, you can add package <code>r-irkernel</code> and then add the channel <code>r</code>  to Conda's <a href="https://help.codeocean.com/user-manual/advanced-environment-configuration/advanced-installer-configuration-in-the-package-management-system" rel="nofollow noopener noreferrer" target="_blank">list of available channels</a>.
- You'll also need to run, in the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, the command <code>Rscript -e "IRkernel::installspec()"</code> .

requires the Julia package <code>IJulia</code>  (<a href="https://github.com/JuliaLang/IJulia.jl" rel="nofollow noopener noreferrer" target="_blank">https://github.com/JuliaLang/IJulia.jl</a>). 

You could theoretically install this in any environment, but it's probably best to start with a Python 3.7 (with Conda) base image.&nbsp;

First, add <code>julia</code> and <code>jupyter</code>  as conda packages, and then add the channel <code>conda-forge</code>   to Conda's <a href="https://help.codeocean.com/user-manual/advanced-environment-configuration/advanced-installer-configuration-in-the-package-management-system" rel="nofollow noopener noreferrer" target="_blank">list of available channels</a>.

Second, in the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, run <code>julia -e 'using Pkg; Pkg.add("</code>IJulia<code>"); Pkg.update();'</code> .

- requires the Julia package <code>IJulia</code>  (<a href="https://github.com/JuliaLang/IJulia.jl" rel="nofollow noopener noreferrer" target="_blank">https://github.com/JuliaLang/IJulia.jl</a>). 
- You could theoretically install this in any environment, but it's probably best to start with a Python 3.7 (with Conda) base image. 
- First, add <code>julia</code> and <code>jupyter</code>  as conda packages, and then add the channel <code>conda-forge</code>   to Conda's <a href="https://help.codeocean.com/user-manual/advanced-environment-configuration/advanced-installer-configuration-in-the-package-management-system" rel="nofollow noopener noreferrer" target="_blank">list of available channels</a>.
- Second, in the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, run <code>julia -e 'using Pkg; Pkg.add("</code>IJulia<code>"); Pkg.update();'</code> .

Start your capsule from an environment with Stata available.

Via the apt-get installer, add the packages <code>python3-pip</code> , <code>python3-setuptools</code>, and <code>python3-wheel</code> .

Via the <code>pip3</code>  installer that dynamically appears, add  <code>ipystata</code> , <code>pandas</code>, and <code>jupyter</code>.

In the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, run the following:

- Start your capsule from an environment with Stata available.
- Via the apt-get installer, add the packages <code>python3-pip</code> , <code>python3-setuptools</code>, and <code>python3-wheel</code> .
- Via the <code>pip3</code>  installer that dynamically appears, add  <code>ipystata</code> , <code>pandas</code>, and <code>jupyter</code>.
- In the <a href="https://help.codeocean.com/getting-started/the-computational-environment/using-the-postinstall-script-for-further-customization" rel="nofollow noopener noreferrer" target="_blank">postInstall script</a>, run the following:

ipython -c "import ipystata; \<br>  from ipystata.config import config_stata; \<br>  config_stata('/usr/local/stata/stata-mp')"

&nbsp;What if I need a different (or older) Kernel?&nbsp;

Please write to us at <a href="mailto:support@codeocean.com" rel="nofollow noopener noreferrer" target="_blank">support@codeocean.com</a> or via live chat, and we'll be happy to help (and to amend this article accordingly). 

Python, R, Julia, and Stata kernels on Code Ocean.

Installing additional Jupyter kernels

Questions? Email support@codeocean.com

Find answers and get help from Intercom Support and Community Experts

Empty Help Center

Uh oh. That page doesn’t exist.

Disappointed

Neutral

Smiley

Title

Track the progress of all tickets related to your company.

Tickets portal.

{assigneeName} needs more information from you

The Python 3 kernel:

The R kernel:

The Julia kernel:

The Stata kernel:

What if I need a different (or older) Kernel?