V2.3.0 New log output

The major changes in this release is the removal of the pygments dependency. SAS logs are now rendered using ANSI exscape characters. This makes the code easier to copy and paste as well as render better in HTML, PDF, etc.

V2.2.0 SAS Log Magics

This release fixes a few issues and adds support for the SAS Log through Jupyter magics.
The magics work in Jupyter Notebook or Jupyter Lab.

An example of their usage is here

Pypi has been updated as well.

V2.1.7

This version sync's up version numbers with saspy and will now have a conda installer build from it. Both sas_kernel and saspy, as of this version number (2.1.7) will be installable from either pip or conda from now on.

Expanding Footprint

In this release many things have changed but here are the highlights:

• Fixed pip installer errors
  There were a few bugs in the installer that prevented the kernel logo from being written properly.

• Added support for installs on OSX and Windows
  One of the big improvements is in SASPy which the SAS kernel depends on. It has added support for SAS Grid Manager, PC SAS, and any other platform that using SAS IOM -- even the mainframe.
  We're really happy to be able to support users on SAS Grid Manager and PC SAS which were the two most requested features. There are no hotfixes needed for the SAS System you just have to have a version of SAS 9.4 (July 2013 or newer)

• Added support for Jupyter Lab (alpha version)
  In v1.0.0 if you used Jupyter Lab the listing results would not be rendered. That has been fixed through upgrading the dependency of Metakernel

• We added documentation using Sphinx so that you can get the information you need.
  https://sassoftware.github.io/sas_kernel/

We encourage you to upgrade your saspy and sas_kernel packages through cloning this repo or using pip

Initial Release

This is the first release of the SAS kernel for Jupyter. Its aim is to allow SAS users to write code using the Jupyter notebook interface.