Google Colab (short for Colaboratory) is a powerful, cloud-based platform for writing and executing Python code. It provides a Jupyter Notebook environment directly in your browser, requiring no setup or installation. This makes it an ideal tool for researchers and data scientists to conduct data analysis, prototype code, and develop machine learning models in a shared environment.
Key Features and Benefits
- Zero Setup: With Colab, there is no need to worry about installing Python, libraries, or configuring a local development environment. Simply open a notebook and begin coding. This standardization ensures that all collaborators are working from the same environment, eliminating common setup issues.
- Real-Time Collaboration: Like Google Docs, Colab notebooks can be shared and edited by multiple users simultaneously. Team members can see each other's code, output, and comments in real time, making it a powerful tool for pair programming, debugging, and sharing insights.
- Free Access to Computing Resources: Colab provides free, temporary access to powerful hardware accelerators, including Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs). This allows us to run computationally intensive tasks, such as training machine learning models, without relying on local hardware.
- Integrated Code and Text: Colab notebooks are a mix of executable code cells and rich-text cells (which support Markdown). This structure allows for the creation of documents that are both code and documentation, enabling us to clearly explain our methodology, present data visualizations, and share results in a single, reproducible file.
- Google Drive Integration: All notebooks are saved directly to your Google Drive, just like Docs or Sheets. This makes it easy to organize, share with collaborators, and access from any device. Datasets can also be stored in Google Drive and easily accessed from within a Colab notebook.
- Version Control: Colab notebooks have an automatic version history, allowing you to track changes over time and revert to previous versions of the code and text.
Google Colab is a vital tool for data-driven projects. By leveraging its collaborative environment and powerful computational resources, researchers can accelerate their work, enhance data analysis capabilities, and ensure that code is reproducible and well-documented.
Learn More About Colab
Important Information
Providing access to Google tools in addition to our Microsoft tenant allows members of our organization to collaborate with other institutions that may rely on the Google suite of products.
No one at the university is required to adopt the use of these available Google products.
Google Drive, Colab, NotebookLM, Gemini, Sheets, Docs, and Slides are collaborative tools designed to enable research in pursuit of the AI fluency initiative. As such, these services are approved for use with Research Data, Research Health Information, and FERPA data. Regulated data including (but not limited to) PCI, ITAR, CUI, and HIPAA are not approved for use with these services.
If you have questions about the sensitivity of data you plan to use with these services, please email the Data Governance Team.