树莓派 armv71架构，对应python3.7的numpy的whl文件

grpcio-1.39.0rc1-cp37-cp37m-linux_armv7l.whl h5py-2.10.0-cp37-cp37m-linux_armv7l.whl numpy-1.18.2-cp37-cp37m-linux_armv7l.whl scipy-1.4.1-cp37-cp37m-linux_armv7l.whl tensorflow-2.3.0-cp37-none-linux_armv7l.whl

PyAudio-0.2.11-cp36-cp36m-win_amd64.whl 安装包

Twisted-19.2.1-cp38-cp38m-win_amd64.whl

如果下载numpy过慢，可以下载这个资源，直接在命令行输入pip install numpy-1.24.4-cp38-cp38-win_amd64.whl，即可一秒安装成功。

numpy-1.16.4+mkl-cp36-cp36m-win_amd64.whl NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. NumPy is licensed under the BSD license, enabling reuse with few restrictions.

opencv_python-4.8.0.74-cp37-abi3-win_amd64.whl

numpy-1.16.5+mkl-cp37-cp37m-win_amd64.whl numpy-1.16.5+mkl-cp37-cp37m-win_amd64.whl 官网下载速度太慢

h5py-2.10.0-cp36-cp36m-linux_aarch64.whl

直接导入使用，无需编译。