让人耳目一新的Python类

docopt

Github: https://github.com/docopt/docopt

Pythonic的命令行参数解析库::

"""Usage:
  quick_example.py tcp <host> <port> [--timeout=<seconds>]
  quick_example.py serial <port> [--baud=9600] [--timeout=<seconds>]
  quick_example.py -h | --help | --version

"""
from docopt import docopt


if __name__ == '__main__':
    arguments = docopt(__doc__, version='0.1.1rc')
    print(arguments)

requests

Github: https://github.com/kennethreitz/requests

大神kennethreitz的作品，简易明了的HTTP请求操作库, 是urllib2的理想替代品

API简洁明了，这才是Python开发者喜欢的::

>>> r = requests.get('https://api.github.com/user', auth=('user', 'pass'))
>>> r.status_code
200
>>> r.headers['content-type']
'application/json; charset=utf8'
>>> r.encoding
'utf-8'
>>> r.text
u'{"type":"User"...'
>>> r.json()
{u'private_gists': 419, u'total_private_repos': 77, ...}

sh

http://amoffat.github.io/sh/

如其名，子进程接口。

::

from sh import ifconfig
print(ifconfig("wlan0"))

purl

github: https://github.com/codeinthehole/purl

拥有简洁接口的URL处理器::

>>> from purl import URL
>>> from_str = URL('https://www.google.com/search?q=testing')
>>> u.query_param('q')
u'testing'
>>> u.host()
u'www.google.com'

path.py

github: https://github.com/jaraco/path.py

一个文件系统处理库，不过目前还在开发阶段

::

from path import path
d = path('/home/guido/bin')
for f in d.files('*.py'):
f.chmod(0755)

Peewee

https://github.com/coleifer/peewee

小型ORM, 接口很漂亮::

# get tweets by editors ("<<" maps to IN)
Tweet.select().where(Tweet.user << editors)

# how many active users are there?
User.select().where(User.active == True).count()

类似的我的 CURD.py (https://github.com/hit9/CURD.py) :) ::

User.create(name="John", email="[email protected]")  # create

User.at(2).update(email="[email protected]")  # update

John = User.where(name="John").select().fetchone()  # read

# who wrote posts?
for post, user in (Post & User).select().fetchall():
    print "Author: %s, PostName: %s" % (user.name, post.name)

schema

https://github.com/halst/schema

同样是docopt的作者编写的，一个数据格式检查库，非常新颖::

>>> from schema import Schema
>>> Schema(int).validate(123)
123
>>> Schema(int).validate('123')
Traceback (most recent call last):
...
SchemaError: '123' should be instance of <type 'int'>

fn.py

https://github.com/kachayev/fn.py

增强Python的函数式编程::

from fn import _

print (_ + 2) # "(x1) => (x1 + 2)"
print (_ + _ * _) # "(x1, x2, x3) => (x1 + (x2 * x3))"

when.py

https://github.com/dirn/When.py

友好的时间日期库::

>>> import when
>>> when.timezone()
'Asia/Shanghai'
>>> when.today()
datetime.date(2013, 5, 14)
>>> when.tomorrow()
datetime.date(2013, 5, 15)
>>> when.now()
datetime.datetime(2013, 5, 14, 21, 2, 23, 78838)

clize

https://github.com/epsy/clize

用 docopt 写程序的使用doc是不是很爽， clize是一个类似的库。可以用程序的函数名字来作为使用方法

::

#!/usr/bin/env python

from clize import clize

@clize
def echo(text, reverse=false):
    if reverse:
        text = text[::-1]
    print(text)
if __name__ == '__main__':
    import sys
    echo(*sys.argv)

而这个小程序就可以这么使用::

$ ./echo.py --help
Usage: ./echo.py [OPTIONS] text

Positional arguments:
  text

Options:
  --reverse
  -h, --help   Show this help

Pocoo小组

pocoo出的库，必属精品。 http://www.pocoo.org/

它的库很出名: flask, jinja2, pygments,sphinx

---

摘自：https://pyzh.readthedocs.org/en/latest/awesome-python-libraries.html