liudong

import numpy as np
from scipy import stats

differences = [B[i] - A[i] for i in range(len(A))]

# one sample t-test
stats.ttest_1samp(differences, popmean=0)

# assess the equality of variances
stats.levene(A, B)

liudong

import operator
x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
sorted_x = sorted(x.items(), key=operator.itemgetter(1))

liudong

from collections import namedtuple
Animal = namedtuple('Animal', 'name age type')
big_yellow = Animal(name="big_yellow", age=3, type="dog")

liudong

import datetime


def date_range(start_date, end_date):
    start = datetime.datetime.strptime(start_date, "%Y-%m-%d")
    end = datetime.datetime.strptime(end_date, "%Y-%m-%d")
    return [start + datetime.timedelta(days=x) for x in range(0, (end-start).days)]

liudong

import tensorflow as tf
sess = tf.Session()
writer = tf.summary.FileWriter('./my_graph', sess.graph)

liudong

from nose.tools import *

def test_

liudong

%matplotlib inline

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

liudong

import time

start = time.time()
end = time.time()
elapsed = end - start
print "Time taken: ", elapsed, "seconds."

liudong

from openpyxl.workbook import Workbook
from openpyxl.writer.excel import ExcelWriter
from openpyxl.cell import get_column_letter


class XlsLogger(object):
    """
    Save something to a Excel spreadsheet
    """
    def __init__(self):

liudong

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

import unittest

class simpleTest(unittest.TestCase):
    def setUp(self):
        pass

    def tearDown(self):