alincc’s gists

alincc / docker_on_ubuntu.sh

Created December 4, 2021 08:54 — forked from amitavroy/docker_on_ubuntu.sh

Installing Docker on a new Ubuntu Server

	sudo apt update

	sudo apt-get install \
	apt-transport-https \
	ca-certificates \
	curl \
	gnupg-agent \
	software-properties-common

	curl -fsSL https://download.docker.com/linux/ubuntu/gpg \| sudo apt-key add -

alincc / gist:cb59c136e39561748664924223251886

Created August 16, 2020 17:45

Remove unused linux images

dpkg -l linux-* | awk '/^ii/{ print $2}' | grep -v -e "$(uname -r | cut -f1,2 -d"-")" | grep -e "[0-9]" | grep -E "(image|headers)" | xargs sudo apt-get -y purge

alincc / ovpn_autostart

Last active March 15, 2020 14:11 — forked from unique1984/ovpn_autostart

ovpn_autostart

	#!/bin/sh
	OVPNCONF="/root/ovpn/client.ovpn"
	RUNNING=$(ps aux \| grep -o "openvpn \-\-config" \| wc -l)

	case "$1" in
	start)
	if [ $RUNNING -eq 0 ]; then
	echo -n > /var/log/ovpn_autostart.log
	nohup openvpn --config "$OVPNCONF" > /var/log/ovpn_autostart.log 2>&1 &
	else

alincc / ovpn_autostart

Created March 15, 2020 13:58 — forked from unique1984/ovpn_autostart

ovpn_autostart

	#!/bin/sh
	OVPNCONF="/root/ovpn/client.ovpn"
	RUNNING=$(ps aux \| grep -o "openvpn \-\-config" \| wc -l)

	case "$1" in
	start)
	if [ $RUNNING -eq 0 ]; then
	echo -n > /var/log/ovpn_autostart.log
	nohup openvpn --config "$OVPNCONF" > /var/log/ovpn_autostart.log 2>&1 &
	else

alincc / split-mp3.py

Last active January 2, 2020 20:49

mp3 split based on input file

	import subprocess
	import sys


	def main():
	"""split a music track into specified sub-tracks by calling ffmpeg from the shell"""

	# check command line for original file and track list file
	if len(sys.argv) != 3:
	print 'usage: split <original_track> <track_list>'

alincc / redis_cheatsheet.bash

Created September 19, 2019 16:49 — forked from LeCoupa/redis_cheatsheet.bash

Redis Cheatsheet - Basic Commands You Must Know --> UPDATED VERSION --> https://github.com/LeCoupa/awesome-cheatsheets

	# Redis Cheatsheet
	# All the commands you need to know


	redis-server /path/redis.conf # start redis with the related configuration file
	redis-cli # opens a redis prompt


	# Strings.

alincc / git-pull-recursive.rb

Created August 20, 2019 07:53 — forked from jonpugh/git-pull-recursive.rb

Lots of repos? Try "git-pull-recursive" to run "git pull" on all subfolders with a .git folder inside. Thanks to http://snipplr.com/view/62314/perform-git-pull-on-subdirectory-recursive/

	# For use in Chef:
	# Adds a command: git-pull-recursive
	file "/usr/local/bin/git-pull-recursive" do
	owner "root"
	group "root"
	mode "0755"
	action :create
	content 'find . -type d -name .git -exec sh -c "cd \"{}\"/../ && pwd && git pull" \;'
	end

alincc / classifier_from_little_data_script_3.py

Created September 24, 2018 09:02 — forked from fchollet/classifier_from_little_data_script_3.py

Fine-tuning a Keras model. Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

alincc / classifier_from_little_data_script_2.py

Created September 24, 2018 09:02 — forked from fchollet/classifier_from_little_data_script_2.py

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

alincc / classifier_from_little_data_script_1.py

Created September 24, 2018 09:00 — forked from fchollet/classifier_from_little_data_script_1.py

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

Alin Capitanescu alincc