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How to use the Python virtual environment under the Linux system, I believe that many inexperienced people do not know what to do about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Hello, Hello friends, it is also a day of daily get new skills, today, let's take a look at how to play with the Python virtual environment under Linux, 0 basic introduction, video tutorials have also been sorted out, just in the study partner, can get pull! Get in the car while it's hot!

Have previously written about the creation and basic use of the virtual environment under Windows, interested friends can take a look, hand-in-hand teach you how to configure the Python virtual environment, how to create a designated virtual environment under Windows, talk about the virtual environment management tool virtualenvwrapper, hand-in-hand teach you how to load and use the virtual environment in Pycharm.

/ 2 Why do you need virtual environment /

In fact, the fundamental problem to be solved in virtual environment is the confusion of all kinds of third-party packages.

If you receive three projects at the company,

One is using Django1.5, the old project.

One is to use Django1.8, the most recent project

One is using Django2.0+, 's new project.

You can only install one Django per computer, so what to do, you need a tool to separate the various versions.

This is just a situation, our big Python is most proud of a large number of third-party packages, when a project and another project of a large number of packages and the same package, it is over, no one can maintain this project except you.

Next, we will introduce the most commonly used and standardized third-party package.

Virtualenv

Add a package management tool

Virtualenvwrapper

With these two, the above problems are floating clouds.

/ 3 Overview of Linux environment /

This example is version 18.04 of Linux Ubuntu, as shown in the following figure.

The Python version comes with 3.6.9, as shown in the following figure.

The pip version has been updated to the latest, as shown in the following figure.

Pip update command:

Sudo Python3-m pip install-- upgrade pip

/ 4 installation configuration /

1. Install virtualenv

Pip install virtualenv

two。 Install virtual environment management tools

Pip install virtualenvwrapper

/ 5 procedure /

1. Create a folder to store the virtual environment

Mkdir $HOME/.virtualenvs

Or

Mkdir .virtualenvs

In fact, under the current home directory, ~ means the current home directory, if it has been under ~, you don't need $HOME.

. The beginning is a hidden file, and a command is required

Ls-al

To see it.

two。 Execute a command

Which Python3

Look at the directory where Python is installed, as shown in the following figure.

3. Execute a command

Which virtualenvwrapper.sh

View the directory of virtualenvwrapper.

The red part is actually my home catalog, and it's OK to abbreviate it to ~ /.

4. Modify the. / bashrc file, using the command:

Vim .bashrc

You need to have a basic vim here. If you are not familiar with vim, take a look back.

Add content, as shown below.

Export WORKON_HOME=$HOME/.virtualenvs

Source ~ / .local/bin/virtualenvwrapper.sh # which virtualenvwrapper.sh command to get

VIRTUALENVWRAPPER_PYTHON=/usr/bin/Python3 # which Python3 command to get

5. Refresh the configuration file

Source .bashrc

/ 6 Common commands /

1. Create a new virtual environment

Mkvirtualenv spider

Create a new virtual environment of spider and enter the environment of spider.

(spider) indicates that you have entered the virtual environment of spider and are in use, as shown in the following figure.

two。 Exit the current virtual environment

Deactivate

3. View all virtual environments

Workon or lsvirtualenv

These two commands are generally acceptable.

Two have been created, flask and spider, as shown in the figure above.

4. Delete virtual environment

Rmvirtualenv flask

Flask virtual environment has been deleted

5. Enter a virtual environment

Tips

Even if you do not exit the current virtual environment, workon can switch directly to another virtual environment.

In Linux, commands in virtual environment can be completed automatically by tab key.

7 Command Summary

8 Summary

The main content is to operate the Python virtual environment under the Linux system, and enumerates the common commands and basic usage of the virtual environment.

After reading the above, have you mastered how to use the Python virtual environment under the Linux system? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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