(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
NOTE: Easier way is the X86 way, described on https://www.genymotion.com/help/desktop/faq/#google-play-services | |
Download the following ZIPs: | |
ARM Translation Installer v1.1 (http://www.mirrorcreator.com/files/0ZIO8PME/Genymotion-ARM-Translation_v1.1.zip_links) | |
Download the correct GApps for your Android version: | |
Google Apps for Android 6.0 (https://www.androidfilehost.com/?fid=24052804347835438 - benzo-gapps-M-20151011-signed-chroma-r3.zip) | |
Google Apps for Android 5.1 (https://www.androidfilehost.com/?fid=96042739161891406 - gapps-L-4-21-15.zip) | |
Google Apps for Android 5.0 (https://www.androidfilehost.com/?fid=95784891001614559 - gapps-lp-20141109-signed.zip) |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
package slick.lifted | |
import scala.slick.driver.MySQLDriver.simple._ | |
import slick._ | |
object CaseClassMapping extends App { | |
// the base query for the Users table | |
val users = TableQuery[Users] |
#!/bin/sh | |
# extend non-HiDPI external display on DP* above HiDPI internal display eDP* | |
# see also https://wiki.archlinux.org/index.php/HiDPI | |
# you may run into https://bugs.freedesktop.org/show_bug.cgi?id=39949 | |
# https://bugs.launchpad.net/ubuntu/+source/xorg-server/+bug/883319 | |
EXT=`xrandr --current | sed 's/^\(.*\) connected.*$/\1/p;d' | grep -v ^eDP | head -n 1` | |
INT=`xrandr --current | sed 's/^\(.*\) connected.*$/\1/p;d' | grep -v ^DP | head -n 1` | |
ext_w=`xrandr | sed 's/^'"${EXT}"' [^0-9]* \([0-9]\+\)x.*$/\1/p;d'` |
I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.
After a day or two figuring out how to compile the examples, I finally made some progress:
dlib
from Github to your local machine:I'm still very new to Kafka, eventsourcing, stream processing, etc. I'm in the middle of building my first production system with this stuff and am writing this at the request of a few folks on Twitter. So if you do have experience, please do me and anyone else reading this a favor by pointing out things I get wrong :)
# Maintainer: Vladimir Fedorov <fedotru gmail com> | |
pkgname=qt5-webengine-with-codecs | |
pkgdesc='Qt5 WebEngine with proprietary codecs' | |
pkgver=5.5.0 | |
pkgrel=1 | |
arch=('any') | |
url='http://www.qt.io/developers' | |
license=('LGPL') | |
makedepends=() |
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
Resolving missing link to libcrypto openssl on OSX from: http://stackoverflow.com/questions/38670295/brew-refusing-to-link-openssl
brew update
brew install openssl
ln -s /usr/local/opt/openssl/lib/libcrypto.1.0.0.dylib /usr/local/lib/
ln -s /usr/local/opt/openssl/lib/libssl.1.0.0.dylib /usr/local/lib/