Richard Stanley citizenrich

Threadripper 2 Build

Specific purpose of this build is for running X-Plane flight simulator. The machine is extremely capable, and after building it and using it for two days, it's likely to be used for much more.

Processor

AMD Ryzen Threadripper 2950X Processor

Motherboard

ASUS ROG STRIX X399-E GAMING

Cooler

Original, "list containing only text and values"

http://apps.who.int/gho/athena/data/data-text.csv?target=GHO/WHS7_150,WHS7_143,WHS7_149,WHS7_147,WHS7_113,WHS7_120,WHS7_134,WHS7_139,WHS7_103&profile=text&filter=REGION:*;COUNTRY:AFG

Modified last parameter in link

http://apps.who.int/gho/athena/data/data-text.csv?target=GHO/WHS7_150,WHS7_143,WHS7_149,WHS7_147,WHS7_113,WHS7_120,WHS7_134,WHS7_139,WHS7_103&profile=text&filter=REGION:*;COUNTRY:*

Read this first!

Hi there! Since this post was originally written, nvm has gained some new tools, and some people have suggested alternative (and potentially better) approaches for modern systems. Make sure to have a look at the comments to this article, before following this guide!

The original article

Trickier than it seems.


	- Install Docker for Mac 17.12 Edge Release on your Mac System

	- Kubernetes is only available if you are part of the private beta for Docker for Mac 17.12.

	- To access beta builds, you must be signed in within Docker for Mac using your Docker ID.

	- If you are participating in the Docker Beta program, you can access the beta for Docker for Mac 17.12 CE. This version includes a standalone Kubernetes server and client, as well as Docker CLI integration.

	- To log in with your Docker ID, select whale menu -> Sign in / Create Docker ID from the menu bar.

	# GNURadio + gr-iio setup (ADALM-PLUTO plugged in)
	cd ~/Documents
	mkdir PlutoSDR
	cd PlutoSDR/
	sudo apt-get install git python-pip
	pip install --upgrade pip
	pip install setuptools
	sudo pip install git+https://github.com/gnuradio/pybombs.git
	pybombs auto-config
	pybombs recipes add-defaults

	FROM golang:1.7.5-alpine

	USER root

	ARG port
	ARG app_path

	ENV PORT=$port
	ENV APP_NAME=github.com/smartystreets/goconvey
	ENV APP_SRC_PATH=${GOPATH}/src/$app_path

	package main
	// More info on Getwd()
	// https://golang.org/src/os/getwd.go
	//
	import(
	"os"
	"fmt"
	"log"
	)

	from keras.models import Sequential
	from keras.layers import Dense

	x, y = ...
	x_val, y_val = ...

	# 1-dimensional MSE linear regression in Keras
	model = Sequential()
	model.add(Dense(1, input_dim=x.shape[1]))
	model.compile(optimizer='rmsprop', loss='mse')