qheuristics

import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

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to create a new environment

  conda create -n mynewenviron package1 package2 etc
  conda create -n newenv --clone ~anaconda  
  
to remove an environment

  conda remove -n myenvirontoremove --all
  
always start with

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Ctrl + Alt + delete on local session
Ctrl + Shift + Esc on remote session

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Where a user's home directory is located varies from platform to platform and among the users on a single computer. But the actual location of the home directory is available through special environment variables:
Unix/Linux
$HOME
Windows
%USERPROFILE%
Cygwin
$USERPROFILE

In order to find out where these environment variables actually point to, do the following:
on Unix/Linux, open a terminal and type the following command

qheuristics

http://solovyov.net/en/2011/basic-sqlalchemy/

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Deploy Rails app to digitalocean with nginx, unicorn, capistrano & postgres

Create droplet of your liking (ubuntu 12.10 x32)

ssh to root in terminal with your server ip

ssh root@123.123.123.123

Add ssh fingerprint and enter password provided in email

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#Insall Ajenti
apt-get update
wget http://repo.ajenti.org/debian/key -O- | apt-key add -
echo "deb http://repo.ajenti.org/ng/debian main main ubuntu" >> /etc/apt/sources.list
apt-get update
apt-get install ajenti
service ajenti restart

# Uninstall Apache2
sudo apt-get autoremove && sudo apt-get remove apache2*

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#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

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#!/usr/bin/env python
# encoding: utf-8


"""Minimal python commad line."""

import sys
import argparse
import logging

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