Please vote to approve the release of the following candidate as Apache Toree version 0.1.0. Pay special attention to the LICENSE and NOTICE files since this is our first release.
## Information and Artifacts The tag to be voted on is v0.1.0-rc6 (51fa49cb5898e0c5b7824f986382436b969cabc7), located here: https://github.com/apache/incubator-toree/commit/51fa49cb5898e0c5b7824f986382436b969cabc7 All distribution packages, including signatures, digests, etc. can be found at: https://dist.apache.org/repos/dist/dev/incubator/toree/0.1.0/rc6/ Staging artifacts can be found at: https://repository.apache.org/content/repositories/orgapachetoree-1006 ## Testing Instructions The fastest way to get up and running is to using Jupyter. 1. Install Jupyter if you haven't already (http://jupyter.org/install.html) 2. Grab the Apache Toree archive from https://dist.apache.org/repos/dist/dev/incubator/toree/0.1.0/rc6/toree-pip/apache-toree-0.1.0.tar.gz 3. Install Apache Toree via `pip install apache-toree-0.1.0.tar.gz` followed by `jupyter toree install` - You need to set a valid Apache Spark 1.6.x home, which can be done via `jupyter toree install --spark_home=/usr/local/spark` - You may need to run with `sudo` for installation permission - For all installation options, run `jupyter toree install --help-all` 4. Run a Jupyter notebook server via `jupyter notebook` - If the notebook portion of Jupyter is not installed but Jupyter is, you can install via `pip install notebook` 5. Create a notebook using "Apache Toree - Scala" from the dropdown under new - If you want other interpreter profiles than Scala, you can change the interpreters via `jupyter toree install --interpreters=PySpark,SQL` 6. Run Scala/Spark commands such as `sc.parallelize(1 to 100).sum()` in the notebook ## Voting Instructions The vote is open for at least 72 hours and passes if a majority of at least 3 +1 PMC votes are cast. [ ] +1 Release this package as Apache Toree 0.1.0 [ ] -1 Do not release this package because ...
