Getting StartedΒΆ

  • 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.