Narahara Chari Dingari ncdingari

## loading_wikipedia.py
import os; import psutil; import timeit
from nlp import load_dataset

mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
wiki = load_dataset("wikipedia", "20200501.en", split='train')
mem_after = psutil.Process(os.getpid()).memory_info().rss >> 20
print(f"RAM memory used: {(mem_after - mem_before)} MB")

s = """batch_size = 1000
for i in range(0, len(wiki), batch_size):

## pandas_vs_dask.ipynb

      
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                ncdingari
                / pandas_vs_dask.ipynb
            
            
              Created
              December 19, 2018 14:39
                — forked from GuidoTournois/pandas_vs_dask.ipynb
            
          
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## r_oracle_jdbc_example1.R
# Set JAVA_HOME, set max. memory, and load rJava library
Sys.setenv(JAVA_HOME='/path/to/java_home')
options(java.parameters="-Xmx2g")
library(rJava)

# Output Java version
.jinit()
print(.jcall("java/lang/System", "S", "getProperty", "java.version"))

# Load RJDBC library

## server.R
library(shiny)
library(datasets)
Logged = FALSE;
PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output) {
  source("www/Login.R",  local = TRUE)

  observe({
    if (USER$Logged == TRUE) {
	import os; import psutil; import timeit
	from nlp import load_dataset

	mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
	wiki = load_dataset("wikipedia", "20200501.en", split='train')
	mem_after = psutil.Process(os.getpid()).memory_info().rss >> 20
	print(f"RAM memory used: {(mem_after - mem_before)} MB")

	s = """batch_size = 1000
	for i in range(0, len(wiki), batch_size):
	# Set JAVA_HOME, set max. memory, and load rJava library
	Sys.setenv(JAVA_HOME='/path/to/java_home')
	options(java.parameters="-Xmx2g")
	library(rJava)

	# Output Java version
	.jinit()
	print(.jcall("java/lang/System", "S", "getProperty", "java.version"))

	# Load RJDBC library
	library(shiny)
	library(datasets)
	Logged = FALSE;
	PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
	# Define server logic required to summarize and view the selected dataset
	shinyServer(function(input, output) {
	source("www/Login.R", local = TRUE)

	observe({
	if (USER$Logged == TRUE) {