Python Utilities includes an assortment of decorators, utility methods, and utility classes. It's intended that this package can serve to bootstrap a fresh Python 2 project.

Modules:

• The decorators module primarily contains memoization, benchmarking, coroutine, tail call recursion, and test skipping decorators.
• The queuefile module contains a thread and process safe file writer.
• The util module contains utility functions.
• The dateutil module contains date utils for working on top of python-dateutil and pytz.
• The pghelper module contains utilities for working with raw psycopg2 connections and a light weight named connection manager.
• The textutil module contains various utilities for transforming data to text, in particular a text table
• The serialization module contains methods for space and time efficient serialization of integer sets and lists.
• The testutil module contains test cases, asserts, and mixins for getting various test behaviors.
• The mathutil module contains various math utilites as well as logarithmic percentile approximation and running average.
• The runner module contains a base class that handles much of the common boilerplate in setting up runners.
• The sqlutil module contains a series of utility classes for sqlalchemy
• The dbtable module contains a light weight ORM for Postgres
• The kvtable module contains a light weight ORM for a generic KV Store
• The cbtable module contains a light weight ORM for Couchbase
• The s3table module contains a light weight ORM for S3

The most interesting functions are likely:

• decorators.memoize()
• dateutil.*
• util.*
• mathutil.Percentile

Documentation is maintained on individual functions

The official repository is http:https://www.github.com/wizzat.py