Dependency Management With Python Poetry :
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Poetry is a tool for managing Python projects that simplifies dependency management. You can use Poetry to specify, install, and resolve dependencies, ensuring that you work with the correct package versions. Poetry takes advantage of a pyproject.toml
file for configuration and maintains a poetry.lock
file to lock dependencies, providing a consistent environment across different machines.
You should generally install Poetry system-wide using tools like pipx
. You can then create a new project with poetry new
or add Poetry to an existing project with poetry init
. Later, use poetry add
to specify a new dependency in your project and poetry install
to install the listed dependencies into your environment. By understanding how to manage dependencies effectively, you ensure that your projects are reproducible and maintainable.
By the end of this tutorial, you’ll understand that:
- Poetry is a dependency manager that ensures consistent package versions and simplifies Python project setup.
- You can install Poetry system-wide using
pipx
or the official installer for better environment management. - Installing Poetry with pip in a project’s environment is not recommended due to potential dependency conflicts.
- Basic Poetry CLI commands include
poetry new
,poetry add
,poetry install
, andpoetry update
. - The
poetry.lock
file locks dependency versions, ensuring reproducible environments. - You resolve dependency conflicts by updating the
poetry.lock
file withpoetry update
orpoetry lock
. - Best practices include committing the
poetry.lock
file to version control and avoiding system-wide package installations.
To complete this tutorial and get the most out of it, you should have a basic understanding of virtual environments, modules and packages, and pip
.
While you’ll focus on dependency management in this tutorial, Poetry can also help you build a distribution package for your project. If you want to share your work, then you can use Poetry to publish your project on the Python Packaging Index (PyPI).
Free Bonus: Click here to get access to a free 5-day class that shows you how to avoid common dependency management issues with tools like Pip, PyPI, Virtualenv, and requirements files.
Take Care of Prerequisites
Before diving into the nitty-gritty of Python Poetry, you’ll take care of some prerequisites. First, you’ll read a short overview of the terminology that you’ll encounter in this tutorial. Next, you’ll install Poetry itself.
Learn the Relevant Terminology
If you’ve ever used an import
statement in one of your Python scripts, then you’ve worked with modules and packages. Some of them might have been Python files you wrote on your own. Others could’ve been standard library modules that ship with Python, like datetime
. However, sometimes, what Python provides isn’t enough. That’s when you might turn to external modules and packages maintained by third parties.
When your Python code relies on such external modules and packages, they become the requirements or dependencies of your project.
To find packages contributed by the Python community that aren’t part of the Python standard library, you can browse PyPI. Once you’ve found a package you’re interested in, you can use Poetry to manage and install that package in your project. Before seeing how this works, you need to install Poetry on your system.
Install Poetry on Your Computer
Poetry is distributed as a Python package itself, which means that you can install it into a virtual environment using pip
, just like any other external package:
This is fine if you just want to quickly try it out. However, the official documentation strongly advises against installing Poetry into your project’s virtual environment, which the tool must manage. Because Poetry depends on several external packages itself, you’d run the risk of a dependency conflict between one of your project’s dependencies and those required by Poetry. In turn, this could cause Poetry or your code to malfunction.
In practice, you always want to keep Poetry separate from any virtual environment that you create for your Python projects. You also want to install Poetry system-wide to access it as a stand-alone application regardless of the specific virtual environment or Python version that you’re currently working in.
There are several ways to get Poetry running on your computer, including:
- A tool called
pipx
- The official installer
- Manual installation
- Pre-built system packages
In most cases, the recommended way to install Poetry is with the help of pipx
, which takes care of creating and maintaining isolated virtual environments for command-line Python applications. After installing pipx
, you can install Poetry by issuing the following command in your terminal window:
While this command looks very similar to the one you saw previously, it’ll install Poetry into a dedicated virtual environment that won’t be shared with other Python packages.
Read the full article at https://realpython.com/dependency-management-python-poetry/ »
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December 15, 2024 at 07:30PM
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