loilo

This is about how to split a GitHub pull request, following a real in-the-wild example.

So it happened that I once wanted to fix a bug (#832) on the shelljs repository.

I forked the repository, cloned it and created a new branch called ln-directory-dest. I fixed the bug, created a pull request, and implemented initial review feedback.

At this point, I had added the commits A, B, C, D, E and [F](https://github.com/Loilo/shelljs/commit/946ab48bf5cf9c8aac03407

Everlanders

#!/usr/bin/python
# A quick hack of my button monitor script to monitor headlights and reverse lights to 
# Dim the screen and switch to the reverse camera.
# I have not tested this...
# Remember, the switch or opto is switching to ground, so the logic is inverted... 0 = on  1 = off
# Also, you would run only one of these "Monitor" scripts. you can't be running RearviewMonitor.py AND LightMonitor.py

import RPi.GPIO as GPIO
import time
import subprocess, os

Everlanders

#!/bin/bash

level=$1
#echo "level given is $level"

if [ $# != 1 ]; then
echo "USAGE: $0 brightness_level (0 to 255)"
exit 1
fi

Everlanders

#!/usr/bin/python

import RPi.GPIO as GPIO
import time
import subprocess, os
import signal
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
RearView_Switch = 14  # pin 18
Brightness_Switch = 15 # pin 16

mort3za

# Generate a new pgp key: (better to use gpg2 instead of gpg in all below commands)
gpg --gen-key
# maybe you need some random work in your OS to generate a key. so run this command: `find ./* /home/username -type d | xargs grep some_random_string > /dev/null`

# check current keys:
gpg --list-secret-keys --keyid-format LONG

# See your gpg public key:
gpg --armor --export YOUR_KEY_ID
# YOUR_KEY_ID is the hash in front of `sec` in previous command. (for example sec 4096R/234FAA343232333 => key id is: 234FAA343232333)

Brainiarc7

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

sagivo

to check if the server works - https://webrtc.github.io/samples/src/content/peerconnection/trickle-ice

stun:
stun.l.google.com:19302,
stun1.l.google.com:19302,
stun2.l.google.com:19302,
stun3.l.google.com:19302,
stun4.l.google.com:19302,
stun.ekiga.net,
stun.ideasip.com,

steinwaywhw

• Use curl to get the JSON response for the latest release
• Use grep to find the line containing file URL
• Use cut and tr to extract the URL
• Use wget to download it

curl -s https://api.github.com/repos/jgm/pandoc/releases/latest \
| grep "browser_download_url.*deb" \
| cut -d : -f 2,3 \
| tr -d \" \

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

YamashitaRen

10-Bit H.264

For all those who haven’t heard of it already, here’s a quick rundown about the
newest trend in making our encodes unplayable on even more systems: So-called
high-bit-depth H.264. So, why another format, and what makes this stuff
different from what you know already?

First off: What is bit depth?
In short, bit depth is the level of precision that’s available for storing color
information. The encodes you’re used to have a precision of 8 bits (256 levels)