Anaconda Environmental management and package management

1、 Relative path and absolute path

1、 Why can't the file be found when writing a program （The file is not found）

Read the program file ——————> Compared to the material transmission between two people

Put one folder after another ——————> Compared to small rooms

Material transmission should be face-to-face Only two people in the same room can carry out material transmission

When it comes to cross room material transfer You need to know the room number when you get there （ Address ）

Relative address ————————>( Which room in front of us , There is a house next to us )

Absolute address ————————>( On which floor, in the small room )

environment variable ————————>（ amount to The exact location of this room was posted downstairs , All the material transfer based on this room You don't have to go to this room to do it again. You can do it in a way similar to takeout ）

1、 stay Anaconda Install the package in Anaconda prompt

2、conda Environmental management package and environment

conda And pip brief introduction

conda It's a python package , Dependency and environmental management tools , For multiple languages , Such as : Python, R, Scala, Java, Javascript, C/ C++, FORTRAN

pip yes Python Package management tools , The tool provides the right Python Bag search 、 download 、 install 、 Uninstalled features . At present, if you are in python.org Download the latest version of the installation package

conda Official documents

Baoyuan station

pip Use the tutorial

Command format

Instruction names Parameters Parameter values

conda View virtual environment

conda env list

conda Creating a virtual environment ：

 conda create -n your_env_name python=X.X

conda Enter the virtual environment ：

conda activate ss

conda Exit virtual environment ：

conda deactivate

conda Delete environment ：

conda remove -n name  --all

View installed packages

conda list

conda Installation package

conda install package

Install the specified version of the package ：

conda install package=xx

Upgrade package :

conda update spyder

conda Uninstall package

conda uninstall xxx

Found that the package installation speed is too slow ？——> Configure image source

3、conda/pip Configure mirror source ：

conda Change Tsinghua source tutorial

1、 open Anaconda prompt Enter the following command in it

conda config --set show_channel_urls yes 

After executing the command, it will generate .condarc file

Open in Notepad .condarc Delete the original contents, copy and paste the following contents and save

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

Run the following command to clear the cache

conda clean -i 

conda View software source ：

conda config --show-sources

pip Change Tsinghua source tutorial

open Anaconda prompt Enter the following command in it

pip install pip -U
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

4、anaconda jupyter Multi core switch management

anconda jupyter Multi kernel management refers to Only default base Installation in environment jupyter Install... In a virtual environment jupyter kernel , Can be directly in jupyter Switch kernel to use virtual environment There is no need to manually activate the environment to switch

step

Start by opening anconda promt terminal In the default environment （base） Next Use the following command to install the plug-in

conda install nb_conda_kernelos

Create a virtual environment

conda create -n your_env_name

Enter your newly created virtual environment

conda activate your_env_name

Install the required packages in the virtual environment （ If you want to install other languages, you can install other languages kernel ） And install ipykernel Two bags

conda install ipykernel

remind

If an error is reported, please check that the user directory is in Chinese And make sure you are in your default environment And virtual environment ipykernel The versions of are consistent

If the following appears, it means success