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:
>>> from easy_tools import largest_number_possible >>> iterable = [98, 9, 26] >>> largest_number_possible(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
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-3.7.tar.gz (5.4 kB)||File type Source||Python version None||Upload date||Hashes View hashes|