MINICONDA installation
1. Download the installation package (-c if the download is interrupted, you can continue the last installation, you can omit it)

wget -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_4.11.0-Linux-x86_64.sh

Note: You can go to the mirror website: https://mirrrs.tuna.tsinghu.edu.cn/anaconda/miniconda/ Find the version you want to install, I choose here is what I chooseMiniconda3-py39_4.11.0-Linux-x86_64.sh

Sort by time, find the latest bag

2. Install MINICONDA3 just downloaded, bash is the meaning of running .sh file

bash Miniconda3-py39_4.11.0-Linux-x86_64.sh

3. Similar to restart, reload the configuration file .bashrc

source .bashrc

4. Some basic commands

#View the version of the Conda, check whether the installation is successful
conda --version 
 
 
 #View the installed bag
conda list

5. Add some mirror images to facilitate installation software later, faster speed

conda config --add channels genomedk
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
conda config --set show_channel_urls yes

 #View the configuration mirror
conda config --show

 #Delete a certain mirror source
conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/

6. Installation package

conda install numpy
conda install pandas
conda install scikit-learn
conda install seaborn
conda install matplotlib
 #Python read and write operation Excel -Install the third -party library (XLRD, XLWT, Xlutils, OpenPyxl)
conda install xlutils

7. Install and upgrade the MKL package

When using the FAISS package to build a KNN index, the FAISS package often appears abnormal when importing the mkl package

#Add these two lines to solve the problem
import mkl
mkl.get_max_threads()

Intel MKL FATAL ERROR: Cannot load libmkl_avx512.so or libmkl_def.so

After adding these two lines of code, the problem that FAISS throws out can be theoretically solved, but if the MKL package on the server is incomplete or the version is low, new problems will be encountered

#mkl is more difficult to install
conda install -c conda-forge mkl

 #Look at whether Mkl is installed
pip list|grep 'mkl'

 #If there is: 
mkl-fft（1.0.10）
mkl-random（1.0.2）
 #Completion 
 #first 
 # python/pip version
which python  # ~/anaconda2/bin/python
python -V  # Python 2.7.16 :: Anaconda, Inc.
 
which pip  # ~/anaconda2/bin/pip
pip -V  # pip 20.2.3 from /home/work/anaconda2/lib/python2.7/site-packages/pip (python 2.7)

 #Github's method of installing MKL-Services is to use one of the following two Conda commands, but it is easy
conda install -c intel mkl-service
conda install -c conda-forge mkl-service

 #Conda list is a complete MKL+MKL-Service+MKL_FFT+MKL_RANDOM, but PIP List only has two packets of MKL_FFT+MKL_RANDOM
 #Therefore, to update MKL directly
conda update mkl
 #
conda update conda
conda update --force conda

If the PIP error is reported after updating Conda

#Installation or upgrade PIP
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py

8. Powerful installation, then update later (helpless)

#Installation
pip install -i https://pypi.douban.com/simple pandas

python -m pip install pandas -i https://pypi.tuna.tsinghua.edu.cn/simple

py -3 -m pip install pandas -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com

pip install pandas 1.4.2

9. Using pycharm is easy to report an error

If you can't find pandas in Setting's resources

At https://pypi.org/project/pandas/#Files
Download the version corresponding to your own (Python version must correspond to)

Copy to this directory:

 

Enter the folder input:

pip install pandas-1.2.2-cp39-cp39-win_amd64.whl

The download was successful. Then I found that PyCharm already had this package.

10. Install Matplotlib

First make sure that Python has been installed, and then use PIP to install the MatplotLib module.

Enter the CMD window, execute Python -m PIP Install -u PIPsetuptoolsUpgrade.

Then type the python -m PIP Install Matplotlib for automatic installation, and the system will automatically download the installation package.

After the installation is completed, you can use the Python -m PIP List to view all the modules of the installation of the machine to ensure that the Matplotlib has been successfully installed.

As wellDownload first, then install it directly in the command line

We need to download the files that Matplotlib depends on:
1，kiwisolver-1.2.0-cp37-cp37m-win_amd64.whl
2，python_dateutil-2.8.1-py2.py3-none-any.whl
3，numpy-1.19.0-cp37-cp37m-win_amd64.whl
3，Pillow-7.2.0-cp37-cp37m-win_amd64.whl
4，matplotlib-3.3.0-cp37-cp37m-win_amd64.whl

The version of the above file depends on the configuration version and Python version of your computer!
My computer is 64 -bit Win10 operating system, and the Python version is 3.7, so it corresponds to Win_AMD64 and CP37.

After the download is completed, the file is moved to the scripts directory in the Python installation directory, waiting for installation. CMD opens the command line, switch to the scripts directory of the Python installation directory, and then install it in order with PIP

Finally install Matplotlib

pip install matplotlib-3.3.0-cp37-cp37m-win_amd64.whl