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@mindcont
mindcont / ga.py
Last active August 12, 2016 05:25
利用基因遗传算法中进行文本匹配
"""Genetic Algorithmn Implementation
"""
#引入随机函数
import random
#定义基因遗传算法顶层接口
class GeneticAlgorithm(object):
# 定义算法初始化
def __init__(self, genetics):
@ygotthilf
ygotthilf / jwtRS256.sh
Last active May 12, 2025 12:07
How to generate JWT RS256 key
ssh-keygen -t rsa -b 4096 -m PEM -f jwtRS256.key
# Don't add passphrase
openssl rsa -in jwtRS256.key -pubout -outform PEM -out jwtRS256.key.pub
cat jwtRS256.key
cat jwtRS256.key.pub
@Miserlou
Miserlou / cities.json
Created April 30, 2015 06:58
1000 Largest US Cities By Population With Geographic Coordinates, in JSON
[
{
"city": "New York",
"growth_from_2000_to_2013": "4.8%",
"latitude": 40.7127837,
"longitude": -74.0059413,
"population": "8405837",
"rank": "1",
"state": "New York"
},
@garystafford
garystafford / helpful-docker-commands.sh
Last active April 20, 2025 11:08
My list of helpful docker commands
###############################################################################
# Helpful Docker commands and code snippets
###############################################################################
### CONTAINERS ###
docker stop $(docker ps -a -q) #stop ALL containers
docker rm -f $(docker ps -a -q) # remove ALL containers
docker rm -f $(sudo docker ps --before="container_id_here" -q) # can also filter
# exec into container
@tokestermw
tokestermw / visualizing_topic_models.py
Last active September 7, 2021 16:57
visualization topic models in four different ways
import json
import urlparse
from itertools import chain
flatten = chain.from_iterable
from nltk import word_tokenize
from gensim.corpora import Dictionary
from gensim.models.ldamodel import LdaModel
from gensim.models.tfidfmodel import TfidfModel
@andreif
andreif / daemon.md
Last active May 8, 2024 00:17
A simple unix/linux daemon in Python

A simple unix/linux daemon in Python

Source: http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/

Access: http://web.archive.org/web/20131025230048/http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/

by Sander Marechal

I've written a simple Python class for creating daemons on unix/linux systems. It was pieced together for various other examples, mostly corrections to various Python Cookbook articles and a couple of examples posted to the Python mailing lists. It has support for a pidfile to keep track of the process. I hope it's useful to someone.

@ngpestelos
ngpestelos / remove-docker-containers.md
Last active August 20, 2024 19:34
How to remove unused Docker containers and images

May 8, 2018

I wrote this four years ago, so instead use this command:

$ docker rmi $(docker images -q -f dangling=true)
@gruber
gruber / Liberal Regex Pattern for Web URLs
Last active April 22, 2025 16:56
Liberal, Accurate Regex Pattern for Matching Web URLs
The regex patterns in this gist are intended only to match web URLs -- http,
https, and naked domains like "example.com". For a pattern that attempts to
match all URLs, regardless of protocol, see: https://gist.github.com/gruber/249502
# Single-line version:
(?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|s
@clemsos
clemsos / gensim_workflow.py
Last active February 22, 2022 11:09
How to calculate TF-IDF similarity matrix of a complete corpus with Gensim
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
This script just show the basic workflow to compute TF-IDF similarity matrix with Gensim
OUTPUT :
@chilts
chilts / alexa.js
Created October 30, 2013 09:27
Getting the Alexa top 1 million sites directly from the server, unzipping it, parsing the csv and getting each line as an array.
var request = require('request');
var unzip = require('unzip');
var csv2 = require('csv2');
request.get('http://s3.amazonaws.com/alexa-static/top-1m.csv.zip')
.pipe(unzip.Parse())
.on('entry', function (entry) {
entry.pipe(csv2()).on('data', console.log);
})
;