{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"%%time\nimport pandas as pd, gc\ndf = pd.read_csv('/kaggle/input/predict-student-performance-from-game-play/train.csv') \ndf.to_parquet('train.parquet',index=False)","metadata":{"execution":{"iopub.status.busy":"2023-04-16T11:03:57.723504Z","iopub.execute_input":"2023-04-16T11:03:57.724145Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\ndel df; gc.collect()\ndf = pd.read_csv('/kaggle/input/predict-student-performance-from-game-play/train_labels.csv') \ndf.to_parquet('train_labels.parquet',index=False)","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}