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The tutorial relies on IPyhton Notebooks which are targeted for running on Google's Colaboratory Platform. This platform gives the user a virtual machine in which to run python codes including machine learning codes. The VM comes with a preinstalled environment that includes most of what is needed for these tutorials.

Before You Arrive

Do the following before you come to the tutorial:

  • You need a Google Account to use Colaboratory
  • Goto Google's Colaboratory Platform
  • You should see this page start_page
  • Click on the New Python 3 Notebook - it may say Python 2 but just click the drop down arrow and select the Python 3 option.
  • Now you will see a new notebook where you can type in python code. clean_page
  • After you enter code, type <shift>+<enter> to execute the code cell.
  • A full introduction to the notebook environment is out of scope for this tutorial, but many can be found with a simple google search
  • We will be using notebooks from this repository during the tutorial, so you should be familiar with how to import them into Colaboratory
  • Now you can open the File menu at the top left and select Open Notebook which will open a dialogue box.
  • Select the GitHub tab in the dialogue box.
  • From here you can enter the url for the github repo: https://github.com/argonne-lcf/ATPESC_2019.git and hit <enter>. open_github
  • This will show you a list of the Notebooks available in the repo.
  • Select the introduction.ipynb file to open and work through it.
  • As each session of the tutorial begins, you will simply select the corresponding notebook from this list and it will create a copy for you in your Colaboratory account (all *.ipynb files in the Colaboratory account will be stored in your Google Drive).

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  • Jupyter Notebook 100.0%