More routines for operating on iterables and data structures, beyond itertools
Python’s itertools library is a gem - you can compose elegant solutions for a variety of problems with the functions it provides. In easy-tools we collect additional building blocks, recipes, and routines for working with Python iterables.
To get started, install the library with pip:
pip install easy-tools
- The recipes (modules/functions) included in this package are:
- .triplet_occurrence .doublet_occurrence .equilibrium_point .non_divisible_subset_len .leaders_to_left .leaders_to_right .largest_number
>>> from easy_tools import largest_number >>> iterable = [98, 9, 26] >>> largest_number(iterable) 99826
You can use help function to get the detailed description of a function.
easy-tools is maintained by @jayanth. If you have a problem or suggestion, please file a bug or pull request in this repository. Happy Pythoning!
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size easy_tools-3.4.tar.gz (4.5 kB)||File type Source||Python version None||Upload date||Hashes View|