Google合作实验室与Google Datalab.它们有何不同? [英] Google Colaboratory vs Google Datalab. How are they different?

问题描述

我知道两者都是基于Jupyter noteboooks构建的，但是可以在云中运行.为什么我们有两个呢?

I understand both are built over Jupyter noteboooks but run in cloud. Why do we have two then?

推荐答案

Jupyter是这两个服务唯一的共同点.

Jupyter is the only thing these two services have in common.

协作是用于教育和研究的工具.不需要任何设置或使用其他Google产品(尽管笔记本存储在Google云端硬盘中).它主要供交互式使用，并且长时间运行的后台计算可能会停止.目前仅支持Python.

Colaboratory is a tool for education and research. It doesn’t require any setup or other Google products to be used (although notebooks are stored in Google Drive). It’s intended primarily for interactive use and long-running background computations may be stopped. It currently only supports Python.

Cloud Datalab 允许您使用Google Cloud资源分析数据.您可以充分利用BigQuery和Machine Learning Engine等可扩展服务来分析，处理和可视化数据.您可以将其与Python，SQL和JavaScript一起使用.

Cloud Datalab allows you to analyse data using Google Cloud resources. You can take full advantage of scalable services such as BigQuery and Machine Learning Engine to analyse, manipulate and visualise data. You can use it with Python, SQL, and JavaScript.

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