The SAS kernel package installs just like any other Python package. It is a pure Python package and works with Python 3.X installations. To install using pip, you execute one of the following commands.
pip install sas_kernel pip install http://github.com/sassoftware/sas_kernel/releases/sas_kernel-X.X.X.tar.gzLinux install for Anaconda Python (assuming SAS already installed)¶
Go to https://www.continuum.io/downloads and install Anaconda Python (make sure you get Python3.X). If you install Anaconda without Superuser privileges (root or sudo), then other users on the system will not be able to access the SAS kernel. Consider the following:
/opt.Install the SAS kernel package. The package has a dependency on the SASPy package. The SASPy package is available from https://github.com/sassoftware/saspy. If the pip command in your path does not map to Python3, then use pip3 instead.
Verify that the package is installed.
If you installed as a Superuser, your output should look similar to the following:
Available kernels: python3 /opt/Anaconda3-2.5.0/lib/python3.5/site-packages/ipykernel/resources sas /usr/local/share/jupyter/kernels/sas
If you installed as a regular user (the sas user account, in this case), your output should look similar to the following:
Available kernels: python3 /home/sas/anaconda3/lib/python3.5/site-packages/ipykernel/resources sas /home/sas/.local/share/jupyter/kernels/sas
Configure the SAS executable for your system.
The connection of the Jupyter notebook to SAS is made by the SASPy Python package (which was installed as a dependency for you).
Use the SASPy configuration documentation to complete you set up.
These instructions describe hot to perform a system-wide installation for all users. You must have Superuser privileges (root or sudo).
You can use the yum command to install from RPM packages.
sudo yum install https://centos6.iuscommunity.org/ius-release.rpm sudo yum install python35u gcc-c++ python35u-devel python35u-pip python35u-tools
You can use the pip command.
wget https://bootstrap.pypa.io/get-pip.py python3.5 get-pip.py pip3 --version``
Install Jupyter and the SAS kernel package. The package has a dependency on the SASPy package. The SASPy package is available from https://github.com/sassoftware/saspy.
pip3.5 install jupyter pip3.5 install sas_kernel
Verify that the SAS kernel package is installed.
Your output should look similar to the following:
Available kernels: python3 /usr/lib/python3.5/site-packages/ipykernel/resources sas /usr/local/share/jupyter/kernels/sas
Configure the SAS executable for your system.
The connection of the Jupyter notebook to SAS is made by the SASPy Python package (which was installed as a dependency for you).
Use the SASPy configuration documentation to complete you set up.
Go to https://www.continuum.io/downloads and install Anaconda Python (make sure you get Python3.X). If you install Anaconda without Administrator privileges, then other users on the system will not be able to access the SAS kernel. Consider the following:
Install in the default location unless you have a good reason to change it. Using the default location simplifies administration.
One installation prompt is to make Python accessible for just your account or for all users. Select the best response for your situation.
Another installation prompt is to add the path to your environment. SAS recommends that you answer ‘yes’ to the prompt so that you get the executables in your path automatically. Adding the path your environment simplifies starting Python and Jupyter.
Important
This next group of steps is performed from a Windows command prompt ( )
Install the SAS kernel package. The package has a dependency on the SASPy package. The SASPy package is available from https://github.com/sassoftware/saspy. If the pip command in your path does not map to Python3, then use pip3 instead.
Verify that the package is installed.
Your output should look similar to the following:
Available kernels: python3 C:\Users\sas\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\resources sas C:\ProgramData\jupyter\kernels\sas
Configure the SAS executable for your system.
The connection of the Jupyter notebook to SAS is made by the SASPy Python package (which was installed as a dependency for you).
Use the SASPy configuration documentation to complete you set up.
Go to https://www.continuum.io/downloads and install Anaconda Python (make sure you get Python3.X). If you install Anaconda without Administrator privileges, then other users on the system will not be able to access the SAS kernel. Consider the following:
Install the SAS kernel package. The package has a dependency on the SASPy package. The SASPy package is available from https://github.com/sassoftware/saspy. If the pip command in your path does not map to Python3, then use pip3 instead.
Verify that the package is installed.
Your output should look similar to the following:
Available kernels: python3 /Users/sas/anaconda3/lib/python3.5/site-packages/ipykernel/resources sas /usr/local/share/jupyter/kernels/sas
Configure the SAS executable for your system.
The connection of the Jupyter notebook to SAS is made by the SASPy Python package (which was installed as a dependency for you).
Use the SASPy configuration documentation to complete you set up.
With the release of Jupyter 4.2 (SAS kernel package version 1.2) the installation and enabling of nbextensions is improved. To install and enable the showSASLog extension use the following commands.
jupyter nbextension install --py sas_kernel.showSASLog jupyter nbextension enable sas_kernel.showSASLog --py
To install and enable the theme extension use the following commands.
jupyter nbextension install --py sas_kernel.theme jupyter nbextension enable sas_kernel.theme --py
To verify the nbextensions that you installed use the following commands.
If the extensions are correctly installed, you will see output similar to the following:
Known nbextensions:
config dir: /root/.jupyter/nbconfig
notebook section
showSASLog/main enabled
- Validating: OK
theme/theme_selector enabled
- Validating: OK
Installing from a cloned repository¶
The cloned repository has a directory for each nbextension within the file structure as shown below:
sas_kernel | +-- showSASLog +-- theme
You can install the extensions from the command line. To install an extension system-wide, use the following command with Superuser privileges (root or sudo). The following command assumes that you are in the nbextensions directory. Adjust the path if you are not.
jupyter nbextension install ./showSASLog
Your output should look similar to the following (installed with Superuser privileges):
copying showSASLog/main.js -> /usr/local/share/jupyter/nbextensions/main.js
To install for your user account only, use the following command. Again, the sample command assumes that you are in the nbextensions directory. Adjust the path if you are not.
jupyter nbextension install ./showSASLog --user
Your output should look similar to the following (installed for your user account only):
copying showSASLog/main.js -> /home/sas/.local/share/jupyter/nbextensions/showSASLog/main.js
Then enable the notebook extension with the following command.
jupyter nbextension enable showSASLog
To disable the extension, you can run the following command.
jupyter nbextension disable showSASLogExample¶
There is a notebook that walks through the steps to install and enable the extensions.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4