anaconda

亡梦爱人 提交于 2019-12-05 19:06:57
two install failure because of bad install package, may be because the package in the tsinghua mirror is updating, 
anyway I should see the package more clearly and persist to download them from tsinghua mirror.
the pipeline of installation of Anaconda3 of linux version from tsinghua mirror
1. download the package named Anaconda3-2019.10-Linux-x86_64.sh in the tsinghua mirror
2. copy the package in the host machine to the virtual machine
3. bash ~/Anaconda3-2019.10-Linux-x86_64.sh
4. Enter (begin)
5. Enter yes (accept terms. It will let you reinput if you directly Enter)
6. Enter (accept installation directory)
7. Enter yes (to run init.py including modifying ~/.bashrc)
8. source ~/.bashrc
9. copy vimrc in the host machine to the virtual machine
10. conda create -n py36 python=3.6
11.
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
11.1 conda create -n kraa python=3.6
12. conda create -n krba --clone py36
13. conda activate krba
14. conda install 
ipython
pandas
numpy
matplotlib
jupyter
notebook
qtconsole
15. pip install opencv-python
16. conda create -n krbb --clone krba
17. conda activate krbb
18. pip install tensorflow>=2.0.0
19. conda create -n krbc --clone krbb
20. conda activate krbc
21. conda install Cython
22. pip install pycocotools
23. conda create -n yoloaa --clone krba
24. conda activate yoloaa




#linux command
clear
python
ipython
pip
conda
#linux install
vim
git
anaconda2
xclip

#conda
conda create -n py36 python=3.6
conda create -n kraa --clone py36
conda activate kraa

#py36
python3.6
#kraa
python3.6

ipython
pandas
numpy
matplotlib
#krab
python3.6
ipython
pandas
numpy
matplotlib

opencv-python (need to use pip)

jupyter
notebook
qtconsole
#edit .condarc to this
channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
  - defaults
show_channel_urls: true
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