The scikit-nano Project is an open-source Python toolkit for nanoscience.
Current Version: 0.3.21
Install scikit-nano
You can install the latest version of scikit-nano using pip or by downloading the source code and installing it manually - see the Source tab above for more details.
You can install the latest version of scikit-nano using pip or by downloading the source code and installing it manually - see the Source tab above for more details.
You can install the latest version of scikit-nano using pip or by downloading the source code and installing it manually - see the Source tab above for more details.
To install scikit-nano from source, you can either use
pip install scikit-nano
Alternatively, you can download a tarball for the latest release of scikit-nano from PyPI, then expand the tarfile and run:
python setup.py install
to build and install the package. For more on installing from source code, see the relevant part of the documentation.
The latest developer code is available on GitHub. If you have git installed you can get the latest version with:
git clone https://github.com/scikit-nano/scikit-nano.git
If you don't have git installed, you can instead download a zip file of the latest development version.
Once you have the latest source code, you can build and install it with:
python setup.py install
For more on installing from source code, see the relevant part of the documentation.
Do none of the above instructions work for your system, or do you need more detailed instructions? Check out the installation instructions in our documentation.
What's Next?
Once you have installed scikit-nano, you can head over to the documentation for an overview of the functionality available in scikit-nano. Each section of the documentation contains a "Getting started" section that will demonstrate the basic functionality, and you will then also be able to browse the full documentation to find out more.
Get Started with scikit-nanoIf you run into any issues when using scikit-nano, please report them using the issue tracker. Finally, If you have any questions regarding using scikit-nano, or have feedback on how we can improve the package, please head over to our feedback and contributing or help pages.
Contribute feedback or code Report issuesSupport scikit-nano
If you use scikit-nano in your work, we would be grateful if you could include an acknowledgment in papers and/or presentations. See Acknowledging scikit-nano for details.