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Poetry vs pip: Or How to Forget Forever "requirements.txt" Cheat Sheet for Beginners
Poetry is a dependency management tool in Python projects (analogous to the built-in pip).
It will be vital for beginners in Python to get acquainted with this tool, as it is a very simple and easy-to-use tool, the use of which can simplify the management and development of the project.
Installation
You can install poetry on windows either using pip:
pip install poetryor with PowerShell (Windows)
(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | python -pip stores dependency data in a file requirements.txt (or something else, but more often it is), poetry stores information in the pyproject.toml file, however, in the case of pip, only a list of dependencies and versions is stored in its file, and all basic information about the project is stored in .toml. It is very convenient, you can always find all the information in one place
To install dependencies in pip, you need to run:
pip install -r requirements.txtpoetry makes it easier and more beautiful
installation
poetry installupdate
poetry updateViewing dependencies in pip is done like this
pip freezeYou will only be able to see the current versions of the libraries and will not get the structure of all packages with their dependencies. In poetry, in poetry.the lock file, you can view information about all installed packages, the command:
poetry show --treeIt will show the tree structure of packages with their personal dependencies.
Also, launching a project in pip (in the case of a virtual environment) creates inconveniences, since the first thing you need to do is go into this very environment.
There is no need to activate the virtual environment in poetry, just go to the project folder and start using the commands. Poetry will find the right environment by itself.
You can also change the python version in poetry without having to change the old virtual environment.
You can also change the python version in poetry without having to change the old virtual environment.
This is only a small part of the benefits.
Now a little bit about the .toml file
Now a little bit about the .toml file
[tool.poetry]
name = "new_proj"
version = "0.1.0"
description = "DEVoneLove"
authors = ["Vadim Kolobanov <[email protected]>"]
[tool.poetry.dependencies]
python = "^3.10"
pygame = "^2.1.0"
icecream = "^2.1.1"
requests = "^2.26.0"
psycopg2 = { version = "^2.7", optional = true }
pymysql = { version = "1.0.2", optional = true }
[tool.poetry.dev-dependencies]
Pympler = "^0.9"
[tool.poetry.urls]
"My GitHub" = "https://github.com/vadimkolobanov"
[tool.poetry.scripts]
run-main = "new_proj.main:main_def"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"[tool.poetry] - contains basic information about the project
[tool.poetry.dependencies] - contains a description of all project dependencies. A link to Github is specified.
[tool.poetry.scripts] - contains scripts that need to be run when installing dependencies
[tool.poetry.extras] - dependency groups for a separate installation
[tool.poetry.urls] - Along with the main URLs, you can specify your own links
The study and effective use of new programming language features distinguishes a real programmer from a populist who talks about his skills more than he knows how.
(c) Vadim Kolobanov 2021 AD
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