Metadata-Version: 1.1
Name: pyspark_kernel
Version: 0.1.0
Summary: A PySpark kernel for Jupyter/IPython
Home-page: https://gitlab.com/teia_engineering/pyspark_metakernel
Author: David Fernandez
Author-email: teia.eng.14@gmail.com
License: UNKNOWN
Description: # pyspark_kernel
        
        A PySpark Jupyter kernel that utilizes [metakernel](https://github.com/Calysto/metakernel) to create an easy to initialize pyspark kernel for Python. This package resembles the [spylon-kernel](https://github.com/vericast/spylon-kernel) that utilizes metakernel as well.
        
        ## Prerequisites
        
        * Apache Spark
        * Jupyter Notebook
        * Python 3.5+
        
        ## Install Package
        
        You can install the pyspark_kernel package using `pip`.
        
        ```bash
        pip install pyspark_kernel
        ```
        
        ## Install Kernel to use in Jupyter
        
        To use pyspark_kernel as PySpark kernel for Jupyter Notebook run the following command:
        
        ```bash
        python -m pyspark_kernel install
        ```
        
        Once Jupyter launches and you should see `PySpark` as an option in the `New` dropdown menu.
        
        ## Packaging
        To package to deploy simply run the following command from the top level of the package.
        
        ```bash
        python setup.py sdist
        ```
Platform: UNKNOWN
Classifier: Framework :: IPython
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2
Classifier: Topic :: System :: Shells
