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Python, the good parts
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# string format with kwargs | |
user = { | |
'first_name': 'John', | |
'last_name': 'Doe', | |
'email': 'j.doe@example.com', | |
} | |
user_bio = '{first_name} is registered with email: {email}'.format(**user) | |
# string format with an object | |
class User(object): | |
"""A lightweight user model""" | |
def __init__(self, first_name, last_name, email): | |
self.first_name = first_name | |
self.last_name = last_name | |
self.email = email | |
user = User('John', 'Doe', 'j.doe@example.com') | |
user_bio = '{user.first_name} is registered with email: {user.email}'.format(user=user) | |
# context managers | |
"""Say you want to time something like this in the shell: | |
In [8]: with Timer('user count'): | |
...: User.objects.count() | |
...: | |
user count: 0.00135397911072 | |
Well, to accomplish this we simply need a python class, Timer, with __enter__ and __exit__ methods. | |
""" | |
import time | |
class Timer(object): | |
"""my timer context manager | |
Mostly borrowed from http://rustyrazorblade.com/2016/02/async-python-and-cassandra-with-gevent/ | |
""" | |
def __init__(self, name): | |
self.name = name | |
def __enter__(self): | |
self.start = time.time() | |
def __exit__(self, *args): | |
self.end = time.time() | |
self.interval = self.end - self.start | |
print('{timer.name}: {timer.interval}'.format(timer=self)) | |
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