cbare

##
## Linear regression by gradient descent
##
## A learning exercise to help build intuition about gradient descent.
## J. Christopher Bare, 2012
##

# generate random data in which y is a noisy function of x
x <- runif(1000, -5, 5)
y <- x + rnorm(1000) + 3

rladstaetter

package net.ladstatt.apps.watersimulation

import scala.collection.JavaConversions.seqAsJavaList

import javafx.animation.Animation
import javafx.animation.KeyFrame
import javafx.animation.Timeline
import javafx.application.Application
import javafx.event.ActionEvent
import javafx.event.EventHandler

dogukancagatay

UNAME_S := $(shell uname -s)
# -std=c++11 -Wall -march=native
ifeq ($(UNAME_S),Linux)
CXX=clang++
CPPFLAGS=-O3
LDFLAGS=-O3
LDLIBS=-lOpenCL
endif

ifeq ($(UNAME_S),Darwin)

jctosta

Screen Quick Reference

Basic

Description	Command
Start a new session with session name	screen -S <session_name>
List running sessions / screens	screen -ls
Attach to a running session	screen -x
Attach to a running session with name	screen -r

bstancil

-- These queries let you define find user sessions against event data
-- logged to Segment SQL, Snowplow, or Google BigQuery.
-- For more details, see the full post:
-- LINK


--- SEGMENT SQL
-- Finding the start of every session
SELECT *
  FROM (

jasonrdsouza

'''
This script performs efficient concatenation of files stored in S3. Given a
folder, output location, and optional suffix, all files with the given suffix
will be concatenated into one file stored in the output location.

Concatenation is performed within S3 when possible, falling back to local
operations when necessary.

Run `python combineS3Files.py -h` for more info.
'''

pwasiewi

## install Catalyst proprietary
sudo ntfsfix /dev/sda2
sudo cp /etc/X11/xorg.conf /etc/X11/xorg.conf.BAK
sudo apt-get remove --purge fglrx*
sudo apt-get install linux-headers-generic
sudo apt-get install fglrx xvba-va-driver libva-glx1 libva-egl1 vainfo 
sudo amdconfig --initial

## install build essentials
sudo apt-get install cmake

longcao

import java.io.InputStream

import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
import org.apache.spark.sql.{ DataFrame, Row }

import org.postgresql.copy.CopyManager
import org.postgresql.core.BaseConnection

val jdbcUrl = s"jdbc:postgresql://..." // db credentials elided
val connectionProperties = {

kevin39

service pve-cluster restart && service pvedaemon restart && service pvestatd restart && service pveproxy restart

JonnoFTW

<pyopencl.Device 'Tonga' on 'AMD Accelerated Parallel Processing' at 0x749460>
Repeating [test_overwrite_ecb()] 1000 times....
Function [test_overwrite_ecb] finished in average of 0:00:00.003962

Repeating [test_overwrite_efb()] 1000 times....
Function [test_overwrite_efb] finished in average of 0:00:00.002380