├── .ipynb_checkpoints ├── 01. Numpy和原生Python用于数组计算的性能对比-checkpoint.ipynb ├── 02. Numpy的核心array对象以及创建array的方法-checkpoint.ipynb ├── 03. Numpy对数组按索引查询-checkpoint.ipynb ├── 04. Numpy常用random随机函数汇总-checkpoint.ipynb ├── 05. Numpy的数学统计函数-checkpoint.ipynb ├── 06. Numpy计算数组中满足条件元素个数-checkpoint.ipynb ├── 07. Numpy怎样给数组增加一个维度-checkpoint.ipynb ├── 08. Numpy实现K折交叉验证的数据划分-checkpoint.ipynb ├── 09. Numpy非常有用的数组合并操作-checkpoint.ipynb ├── 10. Numpy怎样对数组排序-checkpoint.ipynb ├── 11. Numpy中数组的乘法-checkpoint.ipynb ├── 12. Numpy中重要的广播概念-checkpoint.ipynb ├── 13. Numpy求解线性方程组-checkpoint.ipynb ├── 14. Numpy实现SVD矩阵分解-checkpoint.ipynb ├── 15. Numpy实现多项式曲线拟合-checkpoint.ipynb ├── 16. Numpy使用Matplotlib实现可视化绘图-checkpoint.ipynb ├── 17. Numpy计算逆矩阵求解线性方程组-checkpoint.ipynb ├── 18. Numpy怎样将数组读写到文件-checkpoint.ipynb ├── 19. Numpy的结构化数组-checkpoint.ipynb ├── 20. Numpy与Pandas数据的相互转换-checkpoint.ipynb ├── 21. Numpy数据输入给Scikit-learn实现模型训练-checkpoint.ipynb ├── Untitled-checkpoint.ipynb └── Untitled1-checkpoint.ipynb ├── 01. Numpy和原生Python用于数组计算的性能对比.ipynb ├── 02. Numpy的核心array对象以及创建array的方法.ipynb ├── 03. Numpy对数组按索引查询.ipynb ├── 04. Numpy常用random随机函数汇总.ipynb ├── 05. Numpy的数学统计函数.ipynb ├── 06. Numpy计算数组中满足条件元素个数.ipynb ├── 07. Numpy怎样给数组增加一个维度.ipynb ├── 08. Numpy实现K折交叉验证的数据划分.ipynb ├── 09. Numpy非常有用的数组合并操作.ipynb ├── 10. Numpy怎样对数组排序.ipynb ├── 11. Numpy中数组的乘法.ipynb ├── 12. Numpy中重要的广播概念.ipynb ├── 13. Numpy求解线性方程组.ipynb ├── 14. Numpy实现SVD矩阵分解.ipynb ├── 15. Numpy实现多项式曲线拟合.ipynb ├── 16. Numpy使用Matplotlib实现可视化绘图.ipynb ├── 17. Numpy计算逆矩阵求解线性方程组.ipynb ├── 18. Numpy怎样将数组读写到文件.ipynb ├── 19. Numpy的结构化数组.ipynb ├── 20. Numpy与Pandas数据的相互转换.ipynb ├── 21. Numpy数据输入给Scikit-learn实现模型训练.ipynb ├── README.md ├── Untitled.ipynb ├── Untitled1.ipynb ├── arr_a.npy ├── arr_ab.npz ├── arr_ab_compressed.npz └── other_files ├── numpy-array-inv.jpg ├── numpy-kfold-validation.jpg ├── numpy-kfold-validation.png └── numpy_random_functions.png /.ipynb_checkpoints/01. Numpy和原生Python用于数组计算的性能对比-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/01. Numpy和原生Python用于数组计算的性能对比-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/02. Numpy的核心array对象以及创建array的方法-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/02. Numpy的核心array对象以及创建array的方法-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/03. Numpy对数组按索引查询-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/03. Numpy对数组按索引查询-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/04. Numpy常用random随机函数汇总-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/04. Numpy常用random随机函数汇总-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/05. Numpy的数学统计函数-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/05. Numpy的数学统计函数-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/06. Numpy计算数组中满足条件元素个数-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/06. Numpy计算数组中满足条件元素个数-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/07. Numpy怎样给数组增加一个维度-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/07. Numpy怎样给数组增加一个维度-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/08. Numpy实现K折交叉验证的数据划分-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/08. Numpy实现K折交叉验证的数据划分-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/09. Numpy非常有用的数组合并操作-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/09. Numpy非常有用的数组合并操作-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/10. Numpy怎样对数组排序-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/10. Numpy怎样对数组排序-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/11. Numpy中数组的乘法-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/11. Numpy中数组的乘法-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/12. Numpy中重要的广播概念-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/12. Numpy中重要的广播概念-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/13. Numpy求解线性方程组-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/13. Numpy求解线性方程组-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/14. Numpy实现SVD矩阵分解-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/14. Numpy实现SVD矩阵分解-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/15. Numpy实现多项式曲线拟合-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/15. Numpy实现多项式曲线拟合-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/16. Numpy使用Matplotlib实现可视化绘图-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/16. Numpy使用Matplotlib实现可视化绘图-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/17. Numpy计算逆矩阵求解线性方程组-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/17. Numpy计算逆矩阵求解线性方程组-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/18. Numpy怎样将数组读写到文件-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/18. Numpy怎样将数组读写到文件-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/19. Numpy的结构化数组-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/19. Numpy的结构化数组-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/20. Numpy与Pandas数据的相互转换-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/20. Numpy与Pandas数据的相互转换-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/21. Numpy数据输入给Scikit-learn实现模型训练-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/21. Numpy数据输入给Scikit-learn实现模型训练-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/Untitled-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/Untitled-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/Untitled1-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/.ipynb_checkpoints/Untitled1-checkpoint.ipynb -------------------------------------------------------------------------------- /01. Numpy和原生Python用于数组计算的性能对比.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/01. Numpy和原生Python用于数组计算的性能对比.ipynb -------------------------------------------------------------------------------- /02. Numpy的核心array对象以及创建array的方法.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/02. Numpy的核心array对象以及创建array的方法.ipynb -------------------------------------------------------------------------------- /03. Numpy对数组按索引查询.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/03. Numpy对数组按索引查询.ipynb -------------------------------------------------------------------------------- /04. Numpy常用random随机函数汇总.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/04. Numpy常用random随机函数汇总.ipynb -------------------------------------------------------------------------------- /05. Numpy的数学统计函数.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/05. Numpy的数学统计函数.ipynb -------------------------------------------------------------------------------- /06. Numpy计算数组中满足条件元素个数.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/06. Numpy计算数组中满足条件元素个数.ipynb -------------------------------------------------------------------------------- /07. Numpy怎样给数组增加一个维度.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/07. Numpy怎样给数组增加一个维度.ipynb -------------------------------------------------------------------------------- /08. Numpy实现K折交叉验证的数据划分.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/08. Numpy实现K折交叉验证的数据划分.ipynb -------------------------------------------------------------------------------- /09. Numpy非常有用的数组合并操作.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/09. Numpy非常有用的数组合并操作.ipynb -------------------------------------------------------------------------------- /10. Numpy怎样对数组排序.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/10. Numpy怎样对数组排序.ipynb -------------------------------------------------------------------------------- /11. Numpy中数组的乘法.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/11. Numpy中数组的乘法.ipynb -------------------------------------------------------------------------------- /12. Numpy中重要的广播概念.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/12. Numpy中重要的广播概念.ipynb -------------------------------------------------------------------------------- /13. Numpy求解线性方程组.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/13. Numpy求解线性方程组.ipynb -------------------------------------------------------------------------------- /14. Numpy实现SVD矩阵分解.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/14. Numpy实现SVD矩阵分解.ipynb -------------------------------------------------------------------------------- /15. Numpy实现多项式曲线拟合.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/15. Numpy实现多项式曲线拟合.ipynb -------------------------------------------------------------------------------- /16. Numpy使用Matplotlib实现可视化绘图.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/16. Numpy使用Matplotlib实现可视化绘图.ipynb -------------------------------------------------------------------------------- /17. Numpy计算逆矩阵求解线性方程组.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/17. Numpy计算逆矩阵求解线性方程组.ipynb -------------------------------------------------------------------------------- /18. Numpy怎样将数组读写到文件.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/18. Numpy怎样将数组读写到文件.ipynb -------------------------------------------------------------------------------- /19. Numpy的结构化数组.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/19. Numpy的结构化数组.ipynb -------------------------------------------------------------------------------- /20. Numpy与Pandas数据的相互转换.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/peiss/ant-learn-numpy/HEAD/20. Numpy与Pandas数据的相互转换.ipynb -------------------------------------------------------------------------------- /21. 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