masayang

import logging

from pylons import config, request, response, session, tmpl_context as c
from pylons.controllers.util import abort, redirect_to, url_for

from rpxclock.lib.base import BaseController, render

log = logging.getLogger(__name__)

import urllib2

masayang

from sforce.enterprise import SforceEnterpriseClient
h = SforceEnterpriseClient('/home/user/.conf/enterprise.wsdl.xml')
h.login('user1@yourdomain.com', 'password', 'securitytoken')

lead = h.generateObject('Lead')
lead.FirstName = 'Masayoshi'
lead.LastName = 'Nakamura'
lead.Company = 'Masasushi, Inc.'
lead.Email = 'masayang@hogehogehoge.com'
result = h.create(lead)

masayang

Git練習用
Git練習用
Git練習用
Git練習用
Git練習用
Git練習用
Git練習用
Git練習用
Git練習用
Git練習用

masayang

sum = 0
for i in range(1, 11):
    sum = sum + i
    print sum

masayang

class Stuffy(object):
    def __init__(self, s = None):
        self.buffer = s

    def eek(self):
        return self.buffer

if __name__ == '__main__':
    s1 = Stuffy(10)
    s2 = Stuffy(20)

masayang

import sys

if __name__ == '__main__':
    print sys.argv

masayang

$ source virtualenvwrapper.sh
$ lsvirtualenv 
bootcamp1
$ workon bootcamp1
(bootcamp1)$ lssitepackages 
dateutil                         pylab.pyc
easy-install.pth                 pytz
matplotlib                       scikit_learn-0.12-py2.7.egg-info
matplotlib-1.1.1-py2.7.egg-info  scipy
mpl_toolkits                     scipy-0.11.0-py2.7.egg-info

masayang

Irisデータセットの取得

Shellから
$ wget http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

GUIから
ブラウザで http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data を開き、データをダウンロード

masayang

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt

X = np.array([[0], [1], [2], [3]])
Y = np.array([0.1, 1.1, 1.8, 2.7])

regr = linear_model.LinearRegression()
regr.fit(X, Y)

masayang

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt

array = np.array([[0, 0.1], [1, 1.1], [2, 1.8], [3, 2.7]])
print array

X = array[:, 0:1]
Y = array[:, 1]