👋 Hi, friends! A couple of folks DM-ed asking about the difference between @GoogleColab and @GoogleCloud #DataLab.
📒 Both services are built with @ProjectJupyter, and look kinda similar; and both are useful for data exploration! - but that is the extent of the overlap. (1/n)
📒 Both services are built with @ProjectJupyter, and look kinda similar; and both are useful for data exploration! - but that is the extent of the overlap. (1/n)
✨📒 @GoogleColab doesn’t require any setup or other @Google products to be used; though notebooks are stored on @GoogleDrive.
It’s intended primarily for interactive use- which means some long-running background processes may be stopped. It currently only supports Python. (2/n)
It’s intended primarily for interactive use- which means some long-running background processes may be stopped. It currently only supports Python. (2/n)
✨👩🔬#DataLab is also free to use; but allows you to analyze data using @GoogleCloud resources. You can take full advantage of scalable services such as #BigQuery and Cloud ML Engine to analyze, manipulate and visualize data.
📊 Python, SQL, and JavaScript are supported. (3/n)
📊 Python, SQL, and JavaScript are supported. (3/n)
✨📒 I ♥️ using @GoogleColab for:
⚡️Quickly prototyping and sharing projects with colleagues
✏️Trying out new packages, or exploring @ProjectJupyter notebooks directly from @GitHub / other sources
👩🏫Creating a standardized #Python environment for tutorials, classes, and demos
⚡️Quickly prototyping and sharing projects with colleagues
✏️Trying out new packages, or exploring @ProjectJupyter notebooks directly from @GitHub / other sources
👩🏫Creating a standardized #Python environment for tutorials, classes, and demos
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