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@cocoalabs
cocoalabs / gist:2fb7dc2199b0d4bf160364b8e557eb66
Created August 15, 2016 21:50
Color Terminal for bash/zsh etc..
man() {
env \
LESS_TERMCAP_mb=$(printf "\e[1;31m") \
LESS_TERMCAP_md=$(printf "\e[1;31m") \
LESS_TERMCAP_me=$(printf "\e[0m") \
LESS_TERMCAP_se=$(printf "\e[0m") \
LESS_TERMCAP_so=$(printf "\e[1;44;33m") \
LESS_TERMCAP_ue=$(printf "\e[0m") \
LESS_TERMCAP_us=$(printf "\e[1;32m") \
man "$@"
@notheotherben
notheotherben / README.md
Last active September 9, 2021 07:50
Fix Postgres 9.x Sequences

PostgreSQL 9.x Sequence Fixing Script

This script is intended to automatically fix the sequence numbers for all tables in the current database.

This is accomplished through the use of the setval() command, which we provide with the next ID value we wish to make use of. We use the setval(sequence, number, is_called) overload and set is_called = false in conjunction with COALESCE(MAX + 1, 1) to ensure that, with an empty table, the next sequence value is 1 as expected.

@hollance
hollance / neural.c
Last active April 21, 2023 17:13
Playing with BNNS on macOS 10.12. The "hello world" of neural networks.
/*
The "hello world" of neural networks: a simple 3-layer feed-forward
network that implements an XOR logic gate.
The first layer is the input layer. It has two neurons a and b, which
are the two inputs to the XOR gate.
The middle layer is the hidden layer. This has two neurons h1, h2 that
will learn what it means to be an XOR gate.
@sdorra
sdorra / keys.go
Created April 17, 2016 19:31
Golang RSA Key Generation
/*
* Genarate rsa keys.
*/
package main
import (
"crypto/rand"
"crypto/rsa"
"crypto/x509"
@spiette
spiette / jinja_variables_types.yml
Created March 3, 2016 14:52
Test the variables types in jinja2 templates, used here with ansible
---
- hosts: all
gather_facts: no
vars:
string: "string"
list:
- item1
- item2
dict:
key1: value1
@PurpleBooth
PurpleBooth / README-Template.md
Last active May 6, 2024 07:22
A template to make good README.md

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

@halberom
halberom / 00_description
Last active April 14, 2022 19:23
ansible - example of using filters to change each item in a list
The problem:
I wanted to use the jinja 'map' filter to modify each item in a string, in this simple
example, adding '.conf' to each item.
The 'format' filter in jinja takes arguments (value, *args, **kwargs). Unfortunately,
it uses 'value' as the pattern. When called inside map 'value' is the current item in
the list, or in other words *args as far as format is concerned. So it's the wrong way
around.
@hsw0
hsw0 / 000-README.md
Last active October 18, 2022 07:56
Samba AD + OpenSSH LPK Schema

Samba AD + openssh-lpk Schema

Add openssh-lpk Schema [1] to Samba 4 ad dc.

Usage

sed -i -e 's/${DOMAINDN}/DC=your,DC=domain,DC=name/' *.ldif'
@hsribei
hsribei / can-nat-traversal-be-tor-s-killer-feature.md
Last active July 12, 2018 19:15
Can NAT traversal be Tor's killer feature?

Can NAT traversal be Tor's killer feature?

tl;dr: how about a virtual global flat LAN that maps static IPs to onion addresses?

[We all know the story][1]. Random feature gets unintentionally picked up as the main reason for buying/using a certain product, despite the creator's intention being different or more general. (PC: spreadsheets; Internet: porn; smartphones: messaging.)

@mangecoeur
mangecoeur / concurrent.futures-intro.md
Last active January 9, 2024 16:04
Easy parallel python with concurrent.futures

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor: