Pipenv Documentation

The reccomended way to go about installing pipenv is through the following command:

```bash
$ pip install --user pipenv
```

This installs pipenv on a user level, as to not interfere with any other python package installs that may be present on the system globally.

Installing pipenv

By default, pipenv maps projects to virtual environments using the projects root folder, and a hash of the projects entire directory. Because of this, if your project folder is moved, or the path is changed at all, pipenv will no longer be able to correctly use the project's virtual environment.

One way to avoid this would be to set the environmental variable ```PIPENV_VENV_IN_PROJECT=1``` in your shell configuration in order to have virtual environments be created in the project's directory. This allows your project to be flexible in its location on your system.

Virtual Environment Constraints

Pipenv is a tool that aims to "bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world". Using pipenv eliminates the need for programmers to use pip and virtualenv individually, combining the functionality of both tools into one program to manage packages and virtual environments.

University of Michigan - Ann Arbor

When developing python applications, you often need to use libraries or packages that aren't included in python's standard library. In order to keep track of the required packages and libraries that your project depends on, you can make use of a package manager to install packages and manage dependencies. Python's documentation officially recommends the use of pipenv, but other package managers exist as well, such as pip and poetry.

Package Management

When working on python projects, using "virtual environments" allows for your project to be run using its own isolated python binary. The packages that this project uses also exist separately from the python packages installed locally on one's system. This allows for greater organization while working within projects.

Virtual Environments

pipenv

pip is the standard package manager for Python (though it is important to note that the officially recommended package manager is pipenv). pip can be used to install hundreds of thousands of Python packages and has gotten regular releases since 2008.

- dateutil
- python imaging library (PIL / Pillow)
- sh

Useful modules/packages

Virtual environments can be created using a package called virtualenv, by inputting the following in the command line:
```
$ python3 venv -m /path/to/new/env
```

Initializing a Virtual Environment with virtualenv

A plugin is available for pyenv known as ```pyenv-virtualenv```, which allows one to manage their virtual environments through pyenv. What sets this method of managing virtual environments apart from others such as ```venv``` is that pyenv allows one to specify the version of python used for the virtual environment, whereas others will use whatever version is currently installed locally.

Learn Before

Related

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