This repository contains the code for the Getting Started with Python for Analyzing Large Climate and Satellite Data workshop held at the Research Bazaar 2024: https://datascience.wisc.edu/data-science-research-bazaar/ at the University of Wisconsin-Madison.
Main File:
- ResearchBazaar.ipynb
Running the Notebook:
There are two ways to run the notebook:
1. Google Colab (Easiest):
Click the link below to open the notebook directly in Google Colab:
https://colab.research.google.com/drive/13G34XxvJlRocwaSYqfqHBRIQu-xSJSFI?usp=sharing
2. Setting Up Your Own Environment (For More Flexibility):
Prerequisites:
- Python 3.x
- Jupyter Notebook
- Required libraries (listed in
environment.yml)
Steps:
-
Download and Install VS Code: https://code.visualstudio.com/download
-
Install Python extension in VS Code:
- Open VS Code.
- Go to Extensions (Ctrl+Shift+X).
- Search for "Python" and install the official Python extension.
-
Install conda: https://docs.conda.io/en/latest/miniconda.html
-
Create and activate a conda environment:
-
Open a terminal in VS Code.
-
Run the following command:
conda env create -f environment.yml -
Replace
rb24with the desired environment name if you prefer. -
Activate the environment:
conda activate rb24
-
-
Open and run the notebook:
- Open ResearchBazaar.ipynb in VS Code.
- Make sure "rb24" is selected as the kernel in the Jupyter Notebook toolbar.
- Run the code cells one by one or in batches.
3. My Binder Access:
Feel free to access the interactive notebook via the following link: https://mybinder.org/v2/gh/hamiddashti/ResearchBazaar.git/HEAD. However, please be aware that MyBinder has limited memory capacity, and your code might crash due to these constraints.
Tips:
- In Google Colab, you can create a new notebook and copy-paste the code from the shared link for hands-on practice.
- Setting up your own environment gives you more control and flexibility but requires more initial effort.
- Use data link If for any reason you failed to download the course materials from the script.