python3.4 data type

#coding=utf-8

#Python 3.4  https://docs.python.org/3.4/library/

#IDE:Eclipse +PyDev  Window10

import atexit

import os

import sys

import time

import winsound

import code

import codecs

import math

import csv

import base64

import re

import smtplib

from email.mime.text import MIMEText

from email.mime.multipart import MIMEMultipart

from email.header import Header

from email.mime.image import MIMEImage

from email.mime.base import MIMEBase

from email.utils import COMMASPACE, formatdate

import email

import os.path

import mimetypes

import configparser

import string

import nltk

import simhash

import uuid

import socket

import functools

import fnmatch

import time

import datetime

import calendar

import psycopg2

from datetime import timedelta

import random

import unicodedata

from decimal import *

import MailSender #自定义类

import choices #自定义类

from jump import long

print("涂聚文，geovindu")  #中文显示必需文件编码格式utf-8

#获取本机电脑名

myname = socket.getfqdn(socket.gethostname(  ));

#获取本机ip

myaddr = socket.gethostbyname(myname);

print(myname);

print(myaddr);

#Data Types

print ("hello word 你好，世界");

print (sys.platform);

print (2 ** 100);

#输入

try: userimput = input("输入的内容: ") #PyDev

except NameError: pass

print("你好:"+userimput);

print(type(userimput));#类型

nowTime=time.localtime();

nowDate=datetime.datetime(nowTime[0],nowTime[1],nowTime[2]);

datasd=["Acme",50,99.8,"2012-12-21",(2015,12,20)];

productname,productshares,productprice,productdate,productdate2=datasd;

print("产品名称："+productname);

print("产品数量："+str(productshares));

print("产品价格："+str(productprice));

print("产品日期："+productdate); #datetime.datetime.strptime

date1=datetime.datetime(2015,12,20);

print(type(nowTime)); #time.struct_time

print(type(nowDate)); #atetime.datetime

print(type(productdate2)); #tuple

print(type(productdate)); #str

print(date1);

print(time.strftime("%Y-%m-%d %H:%M:%S",nowTime)); #%Y-%m-%d %H:%M:%S %f

print(nowDate);

#print("time %" % nowDate);

print(time.strptime(productdate,"%Y-%m-%d")); ##字符串转换成time类型 %Y-%m-%d %H:%M:%S

date2=time.strptime(productdate,"%Y-%m-%d");

print(nowDate.strftime("%Y-%m-%d")); ##time类型转换成字符串类型 %y-%m-%d %I:%M:%S %p

print(date2);

print(type(date2));

d = timedelta(microseconds=-1);

print(d.days, d.seconds, d.microseconds); # -1 86399 999999

year = timedelta(days=365);

another_year = timedelta(weeks=40, days=84, hours=23,minutes=50, seconds=600);  # adds up to 365 days

print(year.total_seconds()); #31536000.0

print(year == another_year);

dt = datetime.datetime.strptime("21/11/06 16:30", "%d/%m/%y %H:%M");

tt = dt.timetuple();

'''

2006    # year

11      # month

21      # day

16      # hour

30      # minute

0       # second

1       # weekday (0 = Monday)

325     # number of days since 1st January

-1      # dst - method tzinfo.dst() returned None

'''

for it in tt:

    print (it);

ic = dt.isocalendar();

'''

2006    # ISO year

47      # ISO week

2       # ISO weekday

'''

for ff in ic:

    print(ff);

print(calendar.setfirstweekday(calendar.SUNDAY)); #None

#https://docs.python.org/3/library/index.html

d = Decimal(15.6);

print(d+80);

ra=random.randrange(0,12001,5); # Even integer from 0 to 1200 inclusive 从0至12000，5位数的随机数 11435

print(ra);

mood = choices.PDist([('happy', 0.3), ('neutral', 0.6), ('sad', 0.1)]) #随机选取字符串

print(mood());

rstr=random.choice(["geovindu","du","涂聚文","geovi"]); #随机选取字符串

print(rstr);

deck = 'ace two three four'.split();

random.shuffle(deck);  # Shuffle a list 洗牌

print(deck);

du=int(2);

print(du*20);

du=long(200);

print(du/20);

du=float(2500.25);

print(du-200);

#BitArray 布尔型数组所有的对象类型

#Cubes OLAP 在线分析处理应用程序框架

#Disco 分布式计算所用的mapreduce实现

#Gdata Google数据协议实现

#Hspy   Python HDF5文件格式实现

#HDF5  快速I/O 操作所用文件格式  https://pypi.python.org/pypi/h5py

#IPython 交互式开发环境(IDE)

#lxml   用Python处理XML和HTML

#matplotlib

#MPI4Py   消息解析接口（MPI）的并行计算实现

#MPICH2   另一个MPI实现

#numexpr  优化的数值表达式执行

#Pandas 高效处理时间序列数据

#PyTables 使用HDF5的层次化数据库  http://www.pytables.org/   pip install tables   http://www.pytables.org/usersguide/installation.html

#

#SciPy   科学函数集合

#Scikit-Learn 机器学习算法

#Spyder Python IDE，具有语法检查，调试和检查功能

#statsmodels 统计模型

#SymPy 符号计算和数学

#Theano 数学表达式编译器

#dateutil

#pyparsing

#libpng

#pytz

#freetype

#cycler

#pyqt

#pygtk

#wxpython

#ffmpeg/avconv or mencoder

#ImageMagick

#Pillow

#pkg-config

#agg

#import pyautogui  #PyAutoGUI https://pypi.python.org/pypi/PyAutoGUI

#使用双连词生成随机文本

sent=['In','the','beginning','god','created','the','heaven','and','the','earth','.'];

mt=nltk.bigrams(sent);

for mts in mt:

    print(mts);

　　http://www.h5py.org/

http://hdf5.net/

http://www.pytables.org/usersguide/installation.html

Anaconda is the leading open data science platform powered by Python

https://www.continuum.io/downloads#windows

Microsoft Windows [版本 10.0.14393]
(c) 2016 Microsoft Corporation。保留所有权利。

C:\Users\geovindu>conda install scikit-learn
Fetching package metadata .........
Solving package specifications: ..........

Package plan for installation in environment C:\Program Files\Anaconda3:

The following packages will be downloaded:

package | build
---------------------------|-----------------
conda-env-2.6.0 | 0 498 B
mkl-2017.0.1 | 0 128.8 MB
numpy-1.11.3 | py35_0 3.4 MB
requests-2.12.4 | py35_0 791 KB
numexpr-2.6.1 | np111py35_2 123 KB
scipy-0.18.1 | np111py35_1 11.6 MB
scikit-learn-0.18.1 | np111py35_1 4.5 MB
pyopenssl-16.2.0 | py35_0 70 KB
conda-4.3.4 | py35_0 534 KB
------------------------------------------------------------
Total: 149.8 MB

The following NEW packages will be INSTALLED:

conda-env: 2.6.0-0 (copy)

The following packages will be UPDATED:

conda: 4.2.9-py35_0 --> 4.3.4-py35_0 (copy)
mkl: 11.3.3-1 --> 2017.0.1-0 (copy)
numexpr: 2.6.1-np111py35_0 --> 2.6.1-np111py35_2 (copy)
numpy: 1.11.1-py35_1 --> 1.11.3-py35_0 (copy)
pyopenssl: 16.0.0-py35_0 --> 16.2.0-py35_0 (copy)
requests: 2.11.1-py35_0 --> 2.12.4-py35_0 (copy)
scikit-learn: 0.17.1-np111py35_1 --> 0.18.1-np111py35_1 (copy)
scipy: 0.18.1-np111py35_0 --> 0.18.1-np111py35_1 (copy)

CondaIOError: IO error: Missing write permissions in: C:\Program Files\Anaconda3
#
# You don't appear to have the necessary permissions to install packages
# into the install area 'C:\Program Files\Anaconda3'.
# However you can clone this environment into your home directory and
# then make changes to it.
# This may be done using the command:
#
# $ conda create -n my_root --clone=C:\Program Files\Anaconda3

C:\Users\geovindu>cd..

C:\Users>cd..

C:\>cd C:\Program Files\Anaconda3

C:\Program Files\Anaconda3>conda install scikit-learn
Fetching package metadata .........
Solving package specifications: ..........

Package plan for installation in environment C:\Program Files\Anaconda3:

The following packages will be downloaded:

The following NEW packages will be INSTALLED:

conda-env: 2.6.0-0 (copy)

The following packages will be UPDATED:

C:\Program Files\Anaconda3>conda install matplotlib
Fetching package metadata .........
Solving package specifications: ..........

Package plan for installation in environment C:\Program Files\Anaconda3:

The following packages will be downloaded:

package | build
---------------------------|-----------------
conda-env-2.6.0 | 0 498 B
requests-2.12.4 | py35_0 791 KB
matplotlib-1.5.3 | np111py35_1 6.2 MB
pyopenssl-16.2.0 | py35_0 70 KB
conda-4.3.4 | py35_0 534 KB
------------------------------------------------------------
Total: 7.6 MB

The following NEW packages will be INSTALLED:

conda-env: 2.6.0-0 (copy)

The following packages will be UPDATED:

conda: 4.2.9-py35_0 --> 4.3.4-py35_0 (copy)
matplotlib: 1.5.3-np111py35_0 --> 1.5.3-np111py35_1 (copy)
pyopenssl: 16.0.0-py35_0 --> 16.2.0-py35_0 (copy)
requests: 2.11.1-py35_0 --> 2.12.4-py35_0 (copy)

C:\Program Files\Anaconda3>conda install nltk
Fetching package metadata .........
Solving package specifications: ..........

Package plan for installation in environment C:\Program Files\Anaconda3:

The following packages will be downloaded:

package | build
---------------------------|-----------------
conda-env-2.6.0 | 0 498 B
requests-2.12.4 | py35_0 791 KB
nltk-3.2.2 | py35_0 1.9 MB
pyopenssl-16.2.0 | py35_0 70 KB
conda-4.3.4 | py35_0 534 KB
------------------------------------------------------------
Total: 3.3 MB

The following NEW packages will be INSTALLED:

conda-env: 2.6.0-0 (copy)

The following packages will be UPDATED:

conda: 4.2.9-py35_0 --> 4.3.4-py35_0 (copy)
nltk: 3.2.1-py35_0 --> 3.2.2-py35_0 (copy)
pyopenssl: 16.0.0-py35_0 --> 16.2.0-py35_0 (copy)
requests: 2.11.1-py35_0 --> 2.12.4-py35_0 (copy)

C:\Program Files\Anaconda3>

# -*- coding: utf-8 -*-

"""

https://www.continuum.io/downloads#windows 许多库都有基本不用配置

Anaconda3

Spyder Editor

Python 3.5

C:\Program Files\Anaconda3> 

This is a temporary script file.

"""

import sys

import os

import nltk

import matplotlib #标准2D和3D绘图库  https://github.com/matplotlib  http://matplotlib.org/users/installing.html

import numpy #强大的数组类及该类上的优化函数

import networkx #构建网络和分析网络模型算法

print("geovindu");

print("涂聚文");

a=u"geovindu 涂聚文";

b=20.50;

c=["a","b","c"];

print(a);

print(b);

for st in c:

    print(st);

sent=['In','the','beginning','god','created','the','heaven','and','the','earth','.'];

mt=nltk.bigrams(sent);

for mts in mt:

    print(mts);

　　 python3.4 data type

使用下方法配置开发IDE，减少配置的时间：

1.使用Anaconda 和 Pycharm搭建Python IDE 在Pycharm File->settings->Project **->Project Interpreter->选择Anaconda 自带的python
2.使用Anaconda 和 Eclipse Java+Pydev搭建Python IDE 在windows->Preferences > Pydev > Interpreter – Python-选择Anaconda 自带的python

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python3.4 data type

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