pandas: powerful Python data analysis toolkit - 0.21.1learning using Dask alongside existing machine learning libraries like Scikit-Learn, XGBoost, and TensorFlow. 30.6.3 Blaze Blaze provides a standard API for doing computations with various in-memory and0 码力 | 2207 页 | 8.59 MB | 1 年前3- pandas: powerful Python data analysis toolkit - 0.25.0learning using Dask alongside existing machine learning libraries like Scikit-Learn, XGBoost, and TensorFlow. 5.6.4 Koalas Koalas provides a familiar pandas DataFrame interface on top of Apache Spark. It0 码力 | 2827 页 | 9.62 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.25.1learning using Dask alongside existing machine learning libraries like Scikit-Learn, XGBoost, and TensorFlow. 5.6.4 Koalas Koalas provides a familiar pandas DataFrame interface on top of Apache Spark. It0 码力 | 2833 页 | 9.65 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.24.0learning using Dask alongside existing machine learning libraries like Scikit-Learn, XGBoost, and TensorFlow. 5.6.4 Odo Odo provides a uniform API for moving data between different formats. It uses pandas0 码力 | 2973 页 | 9.90 MB | 1 年前3
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