How To Use Pipenv To Manage Your Python Projects (2024)

Pipenv is a package management tool for python just like npm/yarn for NodeJS. In fact, Pipenv is the official package management tool recommended by Python itself for managing package dependencies. Whenever you start with a new python project, let’s say a Django project, you would not want to clutter the global package space in your PC. Global installation of packages won’t allow you to work with multiple Django projects or with different versions of it. Also, it is necessary to track the version of Django so if there is any bug/feature update, you can update it and in case, the update is crashing your app, you can go to the previous stable version. Pipenv does all this management and complex handling of all dependencies under the hood for you.

Why Pipenv

First of all, let’s see why you should use Pipenv. Pipenv solves a large number of critical issues. You need not use pip and other virtual environment tools like virtualenv separately. It automatically creates and manages virtual environments for your projects. No need to use and manage dependencies with the requirements.txt file, instead, Pipfile will manage it for you, and Pipfile.lock will ensure deterministic builds (with secure hashes) for production. It also helps with tracking complex interdependencies in the project, so even in the case of conflicting dependencies, Pipenv takes the pain away from you. It automatically loads the .env (environment variables) file to the virtual environment shell of Pipenv but note that it should be in the root directory of the project folder.

It’s also a great thing that it doesn’t create a virtual environment folder (where it install packages) in the project folder rather creates it in the .virtualenvs folder in your system users folder. Thus, the project does not get clutter with packages and it looks much cleaner and easier to work on.

Now that you have seen so many advantages of using Pipenv, let’s go deep into it and see how to use it.

How To Install Pipenv

Install pipenv globally simply by using the pip tool that comes with python,

pip install pipenv

After it’s installed, you can use pipenv keyword directly in your terminal.

Create & Manage Python Projects

Now to create python projects, create a folder of your project name and open the terminal inside it. Just use pipenv install and then the name of the package you want to install. For eg.

cd my-project
pipenv install requests

Install dev dependencies like testing packages with –dev flag,

pipenv install pytest –dev

You can also initiate it manually with a custom python version by :

pipenv –python 3.7

Pipenv instantiates automatically and will create two files in the folder – Pipfile and Pipfile.lock. Pipfile includes the list of all the top-level packages you’ve installed (packages that you would actually import and use, not their sub-dependency) and Pipfile.lock contains the exact versions of all dependencies including the sub-dependencies along with their hashes for secure and deterministic build on production.

By the way, you can also use the requirements.txt file if you have one, to install project dependencies,

pipenv install requirements.txt

To update all your packages to the latest version,

pipenv update

OR for specific package update.

pipenv update <package>

To uninstall package(s) you no longer need,

pipenv uninstall numpy

And to uninstall all packages at once,

pipenv uninstall –all

Run Your Code

You can enter or use the virtual environment by two ways. First, by using shell keyword to go to virtual environment shell,

pipenv shell
python file.py

Second, by directly writing shell commands for virtual environment without entering into it, after run keyword.

pipenv run python file.py

After you have completed your project and ready for production, lock the development environment so that the exact environment can be produced on production, by

pipenv lock

In production, use –ignore-pipfile flag to install packages and all dependencies from Pipfile.lock instead of Pipfile,

pipenv install –ignore-pipfile

OR

pipenv sync

Other Useful Commands

To list the dependency graph of your installed dependencies, write

pipenv graph

To show your project home folder,

pipenv –where

To show the location of the virtual environment folder linked with the project,

pipenv –venv

To uninstall all packages that are not specified in Pipfile.lock,

pipenv clean

To check for security vulnerabilities and against PEP 508 markers provided in Pipfile,

pipenv check

Use –rm flag to remove the virtual environment folder associated with the project where all the packages are installed.

pipenv –rm

For more commands and details, visit Pipenv documentation.

Conclusion

I hope you’d have got a brief overview of Pipenv along with its main useful commands. Create, manage, track, share your python projects easily and reproduce the exact environment anywhere. Deploy with ultimate peace of mind!

If you want to ask something, connect with me on Twitter and LinkedIn.

How To Use Pipenv To Manage Your Python Projects (2024)

FAQs

How to create a Python project with pipenv? ›

Create & Manage Python Projects

Now to create python projects, create a folder of your project name and open the terminal inside it. Just use pipenv install and then the name of the package you want to install. For eg. Pipenv instantiates automatically and will create two files in the folder – Pipfile and Pipfile.

What is the use of pipenv in Python? ›

Pipenv is a tool that provides all necessary means to create a virtual environment for your Python project. It automatically manages project packages through the Pipfile file as you install or uninstall packages. Pipenv also generates the Pipfile.

How to run Python in pipenv? ›

For example, use pipenv run mypy to run the command-line tool version of mypy (assuming the mypy tool was installed in the virtual environment), or pipenv run python -m <module> to run a Python module available in the virtual environment.

How to make a virtual environment using pipenv? ›

Through Pipenv, 'pip' and 'virtualenv' can be used together to create a Virtual Environment, Pipfile works as the replacement of the 'requirement. txt. ' which tracks the package version according to the given project. This tutorial uses Git Bash as the terminal in the Windows Operating System.

How to use pipenv on an existing project? ›

Migrating an Existing Project to Pipenv

Make sure your project folder has a requirements. txt file in it, and then simply initiate a project as you would do with pipenv install . This will create the Pipfile and Pipfile. lock and you can delete your old requirements.

How do I set up a Python project? ›

  1. Install a Python version manager (pyenv) ...
  2. Choose an environment manager (poetry) ...
  3. Otherwise, use Docker to isolate dependencies. ...
  4. Add Some Code. ...
  5. Write Some Tests. ...
  6. Linting our code. ...
  7. Automate checks on local with pre-commit. ...
  8. Automate checks on remote with GitHub Actions.
Jun 5, 2023

Why is pipenv needed? ›

Pipenv solves the problems of dependency management in Python projects by providing a unified and automated approach to handling dependencies, creating virtual environments, and resolving dependencies. It eliminates the need for manual dependency pinning by locking the dependencies of a project in a Pipfile.

How to install using pipenv? ›

If you must move or rename a directory managed by pipenv, run 'pipenv –rm' before renaming or moving your project directory. Then, after renaming or moving the directory run 'pipenv install' to recreate the virtualenv. Customize this behavior with PIPENV_CUSTOM_VENV_NAME environment variable.

How to create a pipenv executable? ›

Set pipenv for a new Python project

Enter the executable path in the Pipenv executable field, for example: C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts\pipenv.exe (Windows) or /Users/jetbrains/. local/bin/pipenv (macOS). Click OK to save the changes and complete the task.

How do I list all pipenv environments? ›

Use Pipes to see all detected Pipenv Environments. The --list flag can also be used with the --verbose option, which shows additional information about the environments such as the environment path, project directory (if available) and the python version of the virtual environment.

What are the commands for pipenv? ›

Pipenv Commands
  • $ pipenv install <package_name>
  • --python=<path/to/python> — Performs the installation in a virtualenv using the provided Python interpreter.
  • --dev — Install both develop and default package categories from Pipfile. --categories — Install packages to the category groups specified here.

Where can I find pipenv environments? ›

Pipenv installs packages in ~/. local/share/virtualenvs/<your-virtualenv> by default. I prefer to place the folder containing the virtual environment in the project itself. This way you always delete the virtual environment along with your project when you're done.

How to add pipenv to path? ›

Click on the "Environment Variables" button. In the "User variables for YOUR_USER_NAME" section, select the "Path" variable and click "Edit". Click on "New" and then click "Browse". browse the path which would look like this "C:\Users\YOUR_USER\AppData\Local\Programs\Python\Python310".

Why use pipenv instead of pip? ›

Pipenv is a dependency manager for Python projects. If you're familiar with Node. js' npm or Ruby's bundler, it is similar in spirit to those tools. While pip can install Python packages, Pipenv is recommended as it's a higher-level tool that simplifies dependency management for common use cases.

What is the difference between pipenv and virtualenv? ›

pipenv is a tool that combines virtualenv with pip . It allows you to create virtual environments and manage Python packages for your projects. It is designed to be more user-friendly than using virtualenv and pip separately.

How do I create my first Python project? ›

Create a new Python project
  1. In Visual Studio, select File > New > Project to open the New Project dialog. ...
  2. To view Python templates, select Installed > Python on the left menu, or search for "Python." The search option is a great way to find a template when you can't remember its location in the languages tree.
Apr 18, 2024

How do I make a Python project a library? ›

How to create a Python library
  1. Step 1: Create a directory in which you want to put your library. ...
  2. Step 2: Create a virtual environment for your folder. ...
  3. Step 3: Create a folder structure. ...
  4. Step 4: Create content for your library. ...
  5. Step 5: Build your library.
Jan 26, 2020

How do I make a Python project from scratch? ›

  1. Step 1: Download Python and your IDE. Python is free, open-source software that works on Linux, Mac, and Windows. ...
  2. Step 2: Create your first program. ...
  3. Step 3: Write the first line of Python code. ...
  4. Step 4: Explore some math with Python. ...
  5. Step 5: Explore an if-statement with Python. ...
  6. Step 6: Create a function in Python.
Aug 21, 2020

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