spark_setup_anaconda.ipynb

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   "source": [
    "This is a little code block which can be added at the top of any jupyter notebook in order to obtain a little Apache Spark 2.4.4 installation inside the jupyter kernel. \n",
    "\n",
    "Currently this code is experimantal but it seems to run just fine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pyspark\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark import SparkContext, SparkConf\n",
    "from pyspark.sql import SQLContext, SparkSession\n",
    "from pyspark.sql.types import StructType, StructField, DoubleType, IntegerType, StringType\n",
    "sc = SparkContext.getOrCreate(SparkConf().setMaster(\"local[*]\"))\n",
    "from pyspark.sql import SparkSession\n",
    "spark = SparkSession \\\n",
    "    .builder \\\n",
    "    .getOrCreate()"
   ]
  }
 ],
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