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miniutils

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miniutils

Small Python utilities for adding concise functionality and usability to your code

1.0.3
pipPyPI
Maintainers
1

.. image:: https://coveralls.io/repos/github/scnerd/miniutils/badge.svg?branch=master :target: https://coveralls.io/github/scnerd/miniutils?branch=master

.. image:: https://travis-ci.org/scnerd/miniutils.svg?branch=master :target: https://travis-ci.org/scnerd/miniutils

.. image:: https://readthedocs.org/projects/miniutils/badge/?version=latest :target: http://miniutils.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

Overview

Full documentation for this module is available over at ReadTheDocs <http://miniutils.readthedocs.io/>_.

This module provides numerous helper utilities for Python3.X code to add functionality with minimal code footprint. It has tools for the following tasks:

  • Progress bars on serial loops and parallel mappings (leveraging the excellent tqdm library)
  • Simple lazy-compute and caching of class properties, including dependency chaining
  • Executing Python2 code from within a Python3 program
  • More intuitive contract decorator (leveraging pycontracts)

Installation

As usual, you can install the latest code version directly from Github::

pip install git+https://github.com/scnerd/miniutils

Or you can pip install the latest release from PyPi::

pip install miniutils

Examples

To get started, you can import your desired utilities directly from miniutils. For example, to use the CachedProperty decorator::

from miniutils import CachedProperty

class MyClass: @CachedProperty def attribute(self): return some_slow_computation(self)

Or to use the progress bar utilities::

from miniutils import progbar, parallel_progbar

def mapper(x): return x**2

assert [mapper(i) for i in progbar(100)] == parallel_progbar(mapper, range(100))

To see documentation for each feature, look through this documentation or the table of contents above.

Keywords

miniutils

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