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Colab is a hosted jupyter notebook service that requires no setup to use and provides free access to computing resources, including gpus and tpus. It allows users to write and execute python code through the. To help bolster an organization's machine learning and data analysis efforts, turn to google colab.
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Colab is especially well suited to. In this tutorial, we will be exploring some advanced python concepts and techniques using google colab. As an example, first run the following cell to import the numpy.
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Follow this tutorial to learn how to use the tool.
Colab notebooks execute code on google's cloud servers, meaning you can leverage the power of google hardware, including gpus and tpus, regardless of the power of your machine. Colab provides automatic completions to explore attributes of python objects, as well as to quickly view documentation strings.
