Tips for using pipenv to manage Python projects

How to use pipenv environment management Python projects

Introduction:
In Python development, environment management is an important but often overlooked task. Good environmental management can improve the stability and reliability of the project, and can also effectively reduce the difficulty of development and deployment. Pipenv is an excellent Python environment management tool. It can help us uniformly manage the dependent libraries and environment configuration of Python projects. This article will introduce the basic usage of pipenv and provide specific code examples.

What is pipenv?
pipenv is a Python environment management tool that combines the functions of pip and venv. It can create and manage virtual environments and automatically manage project dependent libraries and versions.

Install pipenv:
First, we need to install pipenv through pip. Execute the following command in the command line:

$ pip install pipenv

Create and activate a virtual environment:
In the root directory of the project, execute the following command to create a new virtual environment and activate it:

$ pipenv shell

This command will automatically create a new virtual environment and switch the command line to the environment. In this environment, we can use the new Python interpreter and install the dependent libraries required for the project.

Install dependent libraries:
In the virtual environment, we can use the pipenv command to install and manage the project's dependent libraries. For example, we want to install the Django framework:

$ pipenv install django

This command will automatically add Django to the project's Pipfile and install it. pipenv will manage the project's dependent libraries and versions based on the dependent library list in Pipfile. We can also specify a specific dependent library version and execute the following command during installation:

$ pipenv install django==3.0.2

If we need to install the dependent library for the development environment, we can use the --dev parameter:

$ pipenv install --dev pytest

Export dependencies Library:
We can use the pipenv command to export the project's dependent libraries into a requirements.txt file to facilitate deployment and sharing of the project. Execute the following command:

$ pipenv lock -r > requirements.txt

This command will export the list of dependent library versions required by the current project to the requirements.txt file.

Run the project:
In the virtual environment, we can use Python commands to run the project. For example, execute the following command to start the Django server:

$ python manage.py runserver

Exit the virtual environment:
When we complete the development and testing of the project, we can use the following command to exit the virtual environment:

$ exit

This command Will switch the command line back to the main system environment.

Summary:
pipenv is a powerful Python environment management tool, which can help us uniformly manage the dependent libraries and versions of the project and improve the efficiency of development and deployment. This article introduces the basic usage of pipenv and provides specific code examples. In actual development, we can flexibly use pipenv to manage the Python environment according to the needs of the project.

References:

1. pipenv official documentation: https://pipenv.pypa.io/
2. Python official documentation: https://docs.python. org/

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