Mojo is a predictive modelling technology that allows data scientists and researchers to deploy machine learning models with high performance and low latency in various environments. It is designed by H2O.ai, the company behind the popular open-source machine learning platform, H2O.

In Python, you would typically use libraries like Pandas to load the data into memory and then sort it using functions like sort_values(). While the Python code is more flexible and offers a wider range of sorting options, it may not be as efficient as sorting the data directly on the transformer in Mojo.

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