CRIPT tutorials

Welcome to CRIPT Tutorials

This repository holds a lot of helpful information for those learning CRIPT API.

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Where to start:

1. Get your computer setup with Python and JupyterNotebooks/JupyterLab

   • Click for instructions

2. Tutorial series in JupyterLab:

   The tutorials are written in JupyterLab because it is an interactive environment. This means you can execute the python code directly in the tutorial document. This will hopeful leading to a more enjoyable and effective learn process than just reading a static document.

   To start the tutorials follow these steps:

   1. Download tutorials (see below for download instructions)
   2. Open JupyterLab (Open 'Anaconda Navigator', Launch JupyterLab)
   3. Open “Part_1_CRIPT_tutorial.ipynb” in JupyterLab.

   Tutorial series:

   • Part 1
   • Part 2

3. Explore additional supporting tutorials:

   • Exporting data
   • Advanced searching

4. Add your own data

(Notes: JupyterNotebooks/JupyterLab only partially render on GitHub, and will look different when opened in JupyterLab) (If you just like to explore the completed tutorials check out this folder.)

Downloading Files from GitHub

• Option 1: Download all tutorial files
  • To do this: be on the repository main page (likely the one you are already on). Click the green button labeled "Code", then click "download ZIP". You will now have the entire tutorial repository downloaded on your computer wherever your computer likes to put downloaded files.
• Option 2: Download single files
  • Navigate to the file you like to download in the repository, click "Raw" at the header of the file. This will send you to the webpage of the raw file, then save this page (on Windows: Ctrl+S; or right click "Save as...").

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How to update CRIPT to the new version:

1. opening up Anaconda
2. then open terminal from Anaconda
3. type pip uninstall cript, then confirm yes y
4. type pip install --user C:/######/cript-0.0.2.tar.gz (change file location and cript version)

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Additional Information

Key Tables

• Conditions Keys
• Property Keys
  • Reaction
  • Materials
• Analytical Methods
• Data Types
• Material Keywords
• Quantity Keys
• Ingredient Keys
• Process Keys