Follow these instructions to install pycroscopy
See the many journal publications made possible by pycroscopy and try out the jupyter notebooks that were used for the paper
We have also compiled a list of handy tutorials on basic / prerequisite topics such as programming in python, data analytics, machine learning, etc.
Please familiarize yourself with the pycroscopy ecosystem of packages so you understand the scope of each package.
If you are interested in contributing your code to pycroscopy, please look at our guidelines
If you need detailed documentation on all our classes, functions, etc., what is where any why, please visit our API
Have questions? See our FAQ to see if we have already answered them.
Need help or need to get in touch with us? See our contact information.