A collection of general python utility functions.
Project description
Python Utilikilt
================
Python Utilikilt is a collection of utility classes and functions.
Installation
------------
Run `pip install python-utilikilt`
Classes
-------
###MixIn
Monkey patches a classes with methods from a supplied class.
###Indexable
Takes a generator (or any iterator) and makes it indexable.
```python
from python_utils.classes import Indexable
def fib():
a, b = 0, 1
while 1:
yield a
a, b = b, a + b
fib = Indexable(fib())
fib[10] #144
fib[5] #13
fib[4:10:2] #[8, 21, 55]
```
Decorators
----------
###retry
Decorator for retrying a function if exception occurs.
###run_async
Decorator for running a function in a seperate thread.
###memoize
Decorator for caching the result of a function so subsequent calls are returned out of cache instead of re-running the function.
Iterators
---------
###isplitter
Takes an iterator and splits it into chunks of the specified size and yields the chunks.
```python
from python_utils.iterators import isplitter
for x in isplitter(xrange(1000), 100):
print x #[0,...,99], [100,...,199]...[900,...,999]
```
###daterange
Iterates over a range of dates stepping daily, monthly, or yearly
```python
from datetime import date
from python_utils.iterators import daterange
for date in daterange(date('2012-05-01'),
date('2012-05-20')):
print date #2012-05-02, 2012-05-03...2012-05-20
for date in daterange(date('2012-05-01'),
date('2012-10-01'),
frequency='monthly'):
print date #2012-06-01, 2012-07-01...2012-10-01
for date in daterange(date('1999-05-01'),
date('2009-05-01'),
frequency='yearly'):
print date #2000-05-01, 2001-05-01...2009-05-01
```
================
Python Utilikilt is a collection of utility classes and functions.
Installation
------------
Run `pip install python-utilikilt`
Classes
-------
###MixIn
Monkey patches a classes with methods from a supplied class.
###Indexable
Takes a generator (or any iterator) and makes it indexable.
```python
from python_utils.classes import Indexable
def fib():
a, b = 0, 1
while 1:
yield a
a, b = b, a + b
fib = Indexable(fib())
fib[10] #144
fib[5] #13
fib[4:10:2] #[8, 21, 55]
```
Decorators
----------
###retry
Decorator for retrying a function if exception occurs.
###run_async
Decorator for running a function in a seperate thread.
###memoize
Decorator for caching the result of a function so subsequent calls are returned out of cache instead of re-running the function.
Iterators
---------
###isplitter
Takes an iterator and splits it into chunks of the specified size and yields the chunks.
```python
from python_utils.iterators import isplitter
for x in isplitter(xrange(1000), 100):
print x #[0,...,99], [100,...,199]...[900,...,999]
```
###daterange
Iterates over a range of dates stepping daily, monthly, or yearly
```python
from datetime import date
from python_utils.iterators import daterange
for date in daterange(date('2012-05-01'),
date('2012-05-20')):
print date #2012-05-02, 2012-05-03...2012-05-20
for date in daterange(date('2012-05-01'),
date('2012-10-01'),
frequency='monthly'):
print date #2012-06-01, 2012-07-01...2012-10-01
for date in daterange(date('1999-05-01'),
date('2009-05-01'),
frequency='yearly'):
print date #2000-05-01, 2001-05-01...2009-05-01
```
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