I believe that all chemoinformatian think RDKit is really useful package for OSS chemoinformatics tools ;-)
RDKit provides lots of useful function not only to build 2D based predictive model but also to make 3D structure from 1D/2D molecules. However sometime we need to write code of routine task, for example molecule to bit vector as numpy array, calculate molecular descriptors and properties.
I often write util function to do that. But recently I found really cool work which is developed by @wpwalters named useful_rdkit_utils.
The package provides lots of useful util functions of RDKit, by using the package, user can skip to write lots of coding process. You can find details of the package from original documentation.
But I would like to share some my examples how to use the cool package ;)
Here is my gist.
As you can see by using useful_rdkit_utils, user can do many chemoinformatics related tasks very easily. It's worth to install your coding environment I think.
Finally, I would like to say thank @wpwalters for developing such as useful package and sharing it via pypi!