minrk

rmcgibbo

joshlk

import pandas as pd

def _map_to_pandas(rdds):
    """ Needs to be here due to pickling issues """
    return [pd.DataFrame(list(rdds))]

def toPandas(df, n_partitions=None):
    """
    Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
    repartitioned if `n_partitions` is passed.

evenv

# A simple cheat sheet of Spark Dataframe syntax
# Current for Spark 1.6.1

# import statements
from pyspark.sql import SQLContext
from pyspark.sql.types import *
from pyspark.sql.functions import *

#creating dataframes
df = sqlContext.createDataFrame([(1, 4), (2, 5), (3, 6)], ["A", "B"]) # from manual data

borgar

license: cc-by-nc-sa-4.0
height: 500
border: no

TomAugspurger

dbapl

*.ods diff=odf
*.odt diff=odf
*.odp diff=odf
*.pdf diff=pdf
*.PDF diff=pdf
*.apk diff=apk
*.bz2 diff=bz2
*.gz  diff=gzip
*.zip diff=zip
*.tar diff=tar

Completer Widget.ipynb

Theming nbpresent.ipynb

blark

from __future__ import print_function, unicode_literals

from prompt_toolkit.completion import Completer, Completion


class PwnCompleter(Completer):

    cmds = {'quit': None,
            'exit': None,
            'use': ['/foo/bar', '/herp/derp', '/baz/qux'],