[PYTHON] Command line collection for using virtual environment in Anaconda

Introduction

This is SEIYA (@ SeiyaSunapro7th). I have summarized the command lines that are useful when using a virtual environment (conda environment) using Anaconda.

Environment where execution can be confirmed

macOS Catalina ver.10.17.7 conda ver.4.8.5

1. Confirmation of conda

1-1. Confirm that conda is installed and ver.

$ conda info

1-2. Update conda to the latest version.

$ conda update conda

2. Build a virtual environment with Anaconda

2-1. Build a virtual environment

Commands for building a conda environment. Specify the package to be added when building the conda environment. If you do not specify the version, the latest version will be installed.

$ conda create -n Environment name Add package

When installing python3.7 and numpy in ex. conda environment

$ conda create -n environment name python=3.7 numpy

2-2. Install / unintall, update the library

Install the library that conda supports in the built conda environment.

$conda install library name

On the contrary, the command to uninstall.

$conda uninstall library name

Update the specified library.

$conda update library name

3. Start / exit, delete conda environment

3-1. Starting and closing the conda environment

$conda activate environment name
$ conda deactivate

3-2. Delete the conda environment.

$ conda remove -n Environment name –all

4. Search in the environment

4-1. Output existing virtual environment

Outputs all environments (including base environment) in Anaconda.

$ conda info -e

4-2. Output the existing library in the environment

Output the library installed in the specified environment. If you want to specify it, output the information of the working environment.

$ conda list -n Environment name

5. Find the library you want to install, install the non-compliant library

5-1. Check if it supports conda

Output the library corresponding to conda. It also outputs the library and the corresponding python version.

$ conda search (--full-name)Library name

5-2. Install non-conda compatible libraries

If it doesn't support conda, you can install it with conda by doing the following. If there are several libraries, output the library you want to install and decide which one to use.

$ anaconda search -t conda library name

Find out the details of the package you want to install and find the URL used for install.

$anaconda show package name

ex. If you want to install pygame

$ anaconda show CogSci/pygame

Install the package from the specified URL.

$ conda install -c Searched URL Package name

in conclusion

If you install the Python library without checking the dependencies, it may cause a malfunction. (Be careful when using pip) You can keep the execution environment as clean as possible by using the virtual environment.