📘 1. Tutorial

This tutorial shows you how to build and run a simple linear regression model to forecast water temperature for the VERA Forecasting Challenge. You’ll integrate R‑developed tools to preprocess the required data, with validation and submission steps implemented in a Python notebook.

🚀2. Get the code

✅ Option 1. Fork and open from GitHub inside Colab (Recommended)

• Sign into GitHub and navigate to the tutorial repository https://github.com/LTREB-reservoirs/PY-VERA_EXAMPLE.
• Click the "Fork" button on the top right of the repository page to fork a copy of the repository to your own GitHub account.
• Once your fork is created, in a new browser tab, go to https://colab.research.google.com. You may need to log into your Google account to set up Colab if you have never used it before.
• Select "open notebook" → Choose the GitHub tab
• Go back to your forked GitHub repository and copy the link to the repository. It will be something like: https://github.com/YourUsername/PY-VERA_EXAMPLE/blob/main/Vera_Example.ipynb. Paste this link in the GitHub tab search bar → Press Enter.
• From your account, select the PY-VERA_EXAMPLE repository and main branch to open in Colab. Click on the Vera_Example.ipynb file to open.
• You have now opened your own copy of the Vera_Example.ipynb tutorial in Colab.
• Run the “Setup” commands below to install all required R libraries.
• Any changes you make and save will be committed directly to your fork on GitHub. When you save for the first time, you may need to verify your account and permit Colab to access your GitHub account to make the first commit.
• Once you have made your first commit on your forked repository, an "Open in Colab" badge will automatically be generated at the top of the Vera_Example.ipynb file. From now on, you can simply click this button to open the file in your Colab.

📦 Option 2. Download ZIP & Upload Manually

• On GitHub, click Code → Download ZIP.
• Unzip the folder anywhere on your computer.
• Open Google Colab, go to File → Upload notebook, and select Vera_Example.ipynb.
• Run the “Setup” commands below to install all required R libraries.

⚙️ 3. Setting up your Colab Environment with R packages (This step is also done in the notebook)

You can run these commands in your Colab notebook for required R packages installation (Setup):

!R -e "install.packages(c('reticulate','dplyr','arrow'), repos='http://cran.us.r-project.org')"

!R -e "remotes::install_github('LTREB-reservoirsvera4castHelpers')"