Rosdyana Kusuma rosdyana

install miniconda
conda create -n python3 python=3.5
activate python3
https://www.tensorflow.org/install/install_windows
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.2.1-cp35-cp35m-win_amd64.whl
install CUDA (only cuda without gpu driver) and CuDnn
install pytorch , conda install -c peterjc123 pytorch=0.1.12
https://kivy.org/docs/installation/installation-windows.html , other(https://www.superdatascience.com/pytorch/)
pip install docutils pygments pypiwin32 kivy.deps.sdl2 kivy.deps.glew

What is Hyperledger Fabric

Hyperledger Fabric is enterprise grade distributed ledger based on blockchain technology that use smart contract to enforce trust between parties.
start from IBM, opensource.
hyperledger based on blockchain, but hyperledger isn't cryptocurrency, there's no mining in hyperledger.
hyperledger using blockchain without being cryptocurrency.
hyperledger keep good props of cryptocurrency blockchain like block imutable, all operation determination, etc.
ex : etherium - a thousand transaction per minute, hyperledger easily can operate half million of transaction per minute
hyperledger is distributed by design, it's not decentralized database.
data -> blockchain data -> imutable

git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream

Download Slic3r Perl.
Install it, following the on screen instruction. Basically that means keep clicking Next.

	require(data.table)

	yahoo_downloader_env <- new.env()

	.get_yahoo_curl = function(symbol) {
	curl = RCurl::getCurlHandle( cookiejar = '' )
	html = RCurl::getURL( paste0('https://finance.yahoo.com/quote/',symbol,sep=""), curl = curl )
	crumb = gsub( '^.crumb":"\\s\|".*', '', html )
	assign( 'crumb', crumb, envir = yahoo_downloader_env )
	assign( 'curl' , curl , envir = yahoo_downloader_env )

	require(data.table)

	amino = c("A","R","N","D","C","Q","E","G","H","I","L","K","M","F","P","S","T","W","Y","V")

	df_total = data.frame()
	for(a in amino){
	for(b in amino){
	for(c in amino){
	for(d in amino){
	for(e in amino){

	jupyter notebook --generate-config
	/home/ros/.jupyter/jupyter_notebook_config.py
	c.NotebookApp.ip = '*'
	c.NotebookApp.open_browser = False

	composer create-project --prefer-dist laravel/laravel deepefflux
	sudo chgrp -R www-data storage bootstrap/cache
	sudo chmod -R ug+rwx storage bootstrap/cache
	cp .env.example .env
	php artisan key:generate

	mkdir deepefflux_task
	cd deepefflux_task
	npm init
	npm install --save async knex moment mysql socketio
	npm install --save-dev nodemon
	// package.json
	"scripts": {
	"dev": "nodemon server.js"
	},