Jetson nano installation tensorflow stepping pit record (scipy1.4.1)

One 、scipy1.4.1 Unable to install

my jetpack The version is 4.4, Installation is tensorflow2.3. But whether it's 2.2 still 2.3, All of them need to be installed scripy1.4.1 Version of , Other versions are not good , I've been tossing around all day for this and haven't installed it .
Use pip install , It's been used apt-get Mode of installation , But it doesn't work , Later, the dependency package was installed according to this article .
article ：https://blog.csdn.net/qq_33475105/article/details/109555099
In the end, I can't . An error is as follows ：

Later, I checked the official website , Only then did I know that installation was no longer supported 1.4.1 了 , Lift the table ！！！
So whether it's Tsinghua's mirror source or official source , Can't be used directly pip To install ！
Later CSDN I found the document sent by the boss here , Finally, this problem was solved .
link ：https://blog.csdn.net/weixin_43220532/article/details/109156240
After I downloaded it, I also uploaded LAN Ziyun ：https://yjz.lanzous.com/isUx2mustze

Two 、h5py Installation error

Error log ：

First, make sure Cpython Install well

Cpython First, install it independently , Then with h5py Related dependent packages .
（ notes ： If you don't switch domestic sources , But if you insist on using the official source, there will be a lot of software that cannot be installed .）

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
pip3 install -U pip
pip3 install -U CPython testresources setuptools

pip3 install -U numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11

It is suggested to use domestic sources , Otherwise, the installation will be very slow ：

pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11