alixedi

alixedi

#!/bin/bash

# server-jre-8u5-linux-x64.tar.gz

DEBIAN_FRONTEND=noninteractive
UCF_FORCE_CONFFNEW=true
export UCF_FORCE_CONFFNEW DEBIAN_FRONTEND

apt-get update
apt-get -y -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confnew" dist-upgrade

alixedi

#!/usr/bin/python
#By Steve Hanov, 2011. Released to the public domain
import time
import sys

DICTIONARY = "/usr/share/dict/words";
TARGET = sys.argv[1]
MAX_COST = int(sys.argv[2])

# read dictionary file

alixedi

#! /usr/bin/env python
'''
Nutshell - make long CLI commands interactive
---------------------------------------------

I am lazy. I am forgetful. I often have to write long CLI commands.

The shell history does an awesome job of remembering them for me but too often
I end up working too hard in trying to find the line I wrote a couple of days
back and having to change something simlple e.g. name of a file etc.

alixedi

def xtemplate(toks, str):
    '''
    A function that generates templates from given tokens and
    strings. We are using this to generate email templates:
    >>> sep = [(',', ','), ('-', '-'), ('_', '_')]
    >>> ini = [('$fini', 'a'), ('$lini', 'z')]
    >>> name = [('$fname', 'ali'), ('$lname', 'zaidi')]
    >>> toks = sep + ini + name
    >>> xtemplate(toks, 'ali.zaidi')
    '$fname.$lname'

alixedi

import json

class Record(object):
    """
    A simple trick that allows you to do `record.name`, 'record.age'
    instead of `record['name']`, `record['age']`.

    >>> import json
    >>> data = json.dumps([{'name': 'jack', 'user': {'id': 21}}])
    >>> recs = Record.make_records(data)

alixedi

Hello World!
============

I am **Ali**. 

alixedi

" @alixedi - My .vimrc based on:
" Sample by Martin Brochhaus: github.com/mbrochh/


" Automatic reloading of .vimrc
autocmd! bufwritepost .vimrc source %


" Better copy & paste
" When you want to paste large blocks of code into vim, press F2 before you

alixedi

#from functools import lru_cache#python >=3.2
from functools32 import lru_cache#python 2.7
#from repoze.lru import lru_cache#python 2.7

#NOTE: you can use python -m trace --count fibonacci.py
#to see how many times each instruction is called

#@lru_cache(maxsize=500)#repoze.lru needs maxsize arg
@lru_cache()#using functools32
def fibonacci(n):

alixedi

from math import sqrt
from random import sample
from datetime import datetime

def correlation(ser1, ser2):
    """Computes Pearson product-moment correlation coefficient for the given 2
    time series. See: http://bit.ly/1PHG1jy
    >>> from correlation import correlation
    >>> s1 = [random()*100 for i in range(100)]
    >>> _s1 = [100-s1[i] for i in range(100)]