Google Colaboratory
Definition
Google Colaboratory, or Google Colab, is a free cloud-based platform that allows users to write and execute Python code in a Jupyter Notebook environment. It is particularly useful for data science tasks as it provides access to GPUs and TPUs.
5 Must Know Facts For Your Next Test
- Google Colab offers free access to computational resources like GPUs and TPUs.
- Colab notebooks can be shared easily through Google Drive, facilitating collaboration.
- It supports popular data science libraries such as NumPy, pandas, TensorFlow, and PyTorch.
- Colab provides an interactive environment where you can write Markdown alongside your code.
- You can import datasets directly from Google Drive or other cloud storage services into Colab.
Review Questions
- What are the advantages of using Google Colab for data science projects?
- How does Google Colab facilitate collaboration among team members?
- Which popular Python libraries for data science are supported by Google Colab?
"Google Colaboratory" appears in:
Study guides (1)
Related terms
Jupyter Notebook: An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text.
GPU: Graphics Processing Unit; a specialized processor designed to accelerate graphics rendering and parallel computations often used in machine learning tasks.
TensorFlow: \text{An open-source machine learning framework developed by Google that is widely used for neural networks and deep learning applications.}
