brandon-b-miller

## implicit-join-benchmarking.ipynb

      
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                brandon-b-miller
                / implicit-join-benchmarking.ipynb
            
            
              Created
              December 12, 2019 21:31
            
          
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## implicit-join-benchmarking-new.ipynb

      
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                brandon-b-miller
                / implicit-join-benchmarking-new.ipynb
            
            
              Created
              January 2, 2020 14:58
            
          
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## gist:d2e589f06a8c03bf81e9b21e64bdc1de
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",

## dfsr_arith.ipynb

      
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                brandon-b-miller
                / dfsr_arith.ipynb
            
            
              Created
              January 7, 2020 14:18
            
          
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## basic_scalars.py
import cudf
sr = cudf.Series([1,2,3])
val = 1
print(sr + val)

## reuse_scalar.py
sr1 = cudf.Series([1,2,3])
sr2 = cudf.Series([2,3,4])
val = 1
result_1 = sr1 + val
result_2 = sr2 – val

## cudf_scalar_basic.py
import cudf

sr1 = cudf.Series([1,2,3])
sr2 = cudf.Series([2,3,4])
val = cudf.Scalar(1) # construct a cuDF scalar
result_1 = sr1 + val
result_2 = sr2 – val

## scalar_api_basic.py
import cudf

val = cudf.Scalar(1)
print(val)

## scalar_api_basic_binops.py
import cudf

val = cudf.Scalar(12, dtype="int8")
print(val)
str_val = cudf.Scalar("hello", dtype="str")
print(str_val)
datetime_val = cudf.Scalar("2011-01-01", dtype="datetime64[ns]")
print(datetime_val)

## scalar_api_binop_valid.py
import cudf

# a valid op
x = cudf.Scalar('2011-01-01', dtype='datetime64[ns]')
y = cudf.Scalar(100, dtype='timedelta64[ms]')
print(x + y)
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {},
	"outputs": [
	{
	"name": "stderr",
	"output_type": "stream",
	sr1 = cudf.Series([1,2,3])
	sr2 = cudf.Series([2,3,4])
	val = 1
	result_1 = sr1 + val
	result_2 = sr2 – val
	import cudf

	sr1 = cudf.Series([1,2,3])
	sr2 = cudf.Series([2,3,4])
	val = cudf.Scalar(1) # construct a cuDF scalar
	result_1 = sr1 + val
	result_2 = sr2 – val
	import cudf

	val = cudf.Scalar(12, dtype="int8")
	print(val)
	str_val = cudf.Scalar("hello", dtype="str")
	print(str_val)
	datetime_val = cudf.Scalar("2011-01-01", dtype="datetime64[ns]")
	print(datetime_val)
	import cudf

	# a valid op
	x = cudf.Scalar('2011-01-01', dtype='datetime64[ns]')
	y = cudf.Scalar(100, dtype='timedelta64[ms]')
	print(x + y)