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-* Implement an interface for extracting information from profilers and displaying it as graphs (using matplotlib or seaborn). It should provide the user a set of variables that can be profiled (e.g. memory bandwidth) and the user can implement a function that takes in these variables and outputs an image to be displayed as the cell's output. They would have to register this function using a global method of the package (would not work will line/cell magics).
-* Document how to use the package with Kaggle (see [this issue](https://github.com/andreinechaev/nvcc4jupyter/issues/29)). Bonus: detect when package is loaded on kaggle and automatically run the setup steps.
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+* [X] Implement an interface for extracting information from profilers and displaying it as graphs (using matplotlib or seaborn). It should provide the user a set of variables that can be profiled (e.g. memory bandwidth) and the user can implement a function that takes in these variables and outputs an image to be displayed as the cell's output. They would have to register this function using a global method of the package (would not work will line/cell magics).
+* [DONE] Document how to use the package with Kaggle (see [this issue](https://github.com/andreinechaev/nvcc4jupyter/issues/29)). Bonus: detect when package is loaded on kaggle and automatically run the setup steps.
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