Koushik Nagarajan element824

## GIT Git
git config --global --unset http.proxy
git config --global --unset https.proxy

## ggforce
install.packages("ggplot2")
install.packages("ggforce")
library(ggplot2)
library(ggforce)
pie <- data.frame(
  state = c('eaten', 'eaten but said you didn\'t', 'cat took it', 'for tonight', 'will decompose slowly'),
  focus = c(0.2, 0, 0, 0, 0),
  start = c(0, 1, 2, 3, 4),
  end = c(1, 2, 3, 4, 2*pi),
  amount = c(4,3, 1, 1.5, 6),

## Untitled-2
/*

- Introduction to Microsoft R Service in SQL Server 2016 (Part 1)
- Author: Tomaž Kaštrun (twitter: @tomaz_tsql | blog: http://tomaztsql.wordpress.com
- Published: SQL Server Central http://www.sqlservercentral.com
- Date: 24.08.2016

*/

USE WideWorldImporters;

## Dataset in R
	Type in this code in RStudio and a list of all the data sets that are included with all the packges you have installed will come up:
  data(package = .packages(all.available = TRUE))

## .block
license: mit

## .block
license: mit

## .DS_Store
Bud1%

## docker and sql server
docker pull mcr.microsoft.com/mssql/server:2019-CTP2.5-ubuntu

docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=Pass@Word1" -p 21143:1433 --name sql19-25t -v SQL2019:/var/opt/mssql -d mcr.microsoft.com/mssql/server:2019-CTP2.5-ubuntu

docker cp C:\Temp\WideWorldImporters-Full.bak fed5e2a1b82c:/var/opt/mssql/data/

## customvis.py
import requests
import json
url="YOUR_PREDICTION_ENDPOINT _ AVAIL customvision.ai"
headers={'content-type':'application/octet-stream','Prediction-Key':'YOUR_PREDICTION_KEY'}
r =requests.post(url,data=open("YOUR_LOCAL_IMAGE.jpg","rb"),headers=headers)
print(r.content)

## IgniteDownloader.ps1
#########################################################################################
## Author:      David das Neves
## Date:        09.11.2019
## Description: Filtering of Ignite session files with OutGridView
##              Downloading with 10 downloads in parallel including resume functionality
#########################################################################################

#  Start PowerShell as admin
#via code:   Start-Process powershell -Verb runAs
	git config --global --unset http.proxy
	git config --global --unset https.proxy
	install.packages("ggplot2")
	install.packages("ggforce")
	library(ggplot2)
	library(ggforce)
	pie <- data.frame(
	state = c('eaten', 'eaten but said you didn\'t', 'cat took it', 'for tonight', 'will decompose slowly'),
	focus = c(0.2, 0, 0, 0, 0),
	start = c(0, 1, 2, 3, 4),
	end = c(1, 2, 3, 4, 2*pi),
	amount = c(4,3, 1, 1.5, 6),
	/*

	- Introduction to Microsoft R Service in SQL Server 2016 (Part 1)
	- Author: Tomaž Kaštrun (twitter: @tomaz_tsql \| blog: http://tomaztsql.wordpress.com
	- Published: SQL Server Central http://www.sqlservercentral.com
	- Date: 24.08.2016

	*/

	USE WideWorldImporters;
	Type in this code in RStudio and a list of all the data sets that are included with all the packges you have installed will come up:
	data(package = .packages(all.available = TRUE))
	docker pull mcr.microsoft.com/mssql/server:2019-CTP2.5-ubuntu

	docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=Pass@Word1" -p 21143:1433 --name sql19-25t -v SQL2019:/var/opt/mssql -d mcr.microsoft.com/mssql/server:2019-CTP2.5-ubuntu

	docker cp C:\Temp\WideWorldImporters-Full.bak fed5e2a1b82c:/var/opt/mssql/data/
	import requests
	import json
	url="YOUR_PREDICTION_ENDPOINT _ AVAIL customvision.ai"
	headers={'content-type':'application/octet-stream','Prediction-Key':'YOUR_PREDICTION_KEY'}
	r =requests.post(url,data=open("YOUR_LOCAL_IMAGE.jpg","rb"),headers=headers)
	print(r.content)
	#########################################################################################
	## Author: David das Neves
	## Date: 09.11.2019
	## Description: Filtering of Ignite session files with OutGridView
	## Downloading with 10 downloads in parallel including resume functionality
	#########################################################################################

	# Start PowerShell as admin
	#via code: Start-Process powershell -Verb runAs