Based on our record, Chocolatey should be more popular than Python Poetry. It has been mentiond 252 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Chocolatey Windows software management solution, we use this for installing Python and Deno. - Source: dev.to / 16 days ago
Authenticating with Kyma is a (in my opinion) unnecessary challenge as it leverages the OIDC-login plugin for kubectl. You find a description of the setup here. This works fine when on a Mac but can give you some headaches on a Windows and on Linux machine especially when combined with restrictive setups in corporate environments. For Windows I can only recommend installing krew via chocolatey and then install the... - Source: dev.to / 22 days ago
On a Windows machine, you can use Chocolatey by running the command. - Source: dev.to / about 2 months ago
I've used WSL2 and GHC/Nix--worked without any issues. However, there is Chocolatey: https://chocolatey.org/. Source: 5 months ago
For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be... - Source: dev.to / 5 months ago
You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come... - Source: dev.to / 23 days ago
Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:. - Source: dev.to / 25 days ago
The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:. - Source: dev.to / about 2 months ago
We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment. - Source: dev.to / 3 months ago
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable... - Source: dev.to / 5 months ago
Ninite - Ninite is the easiest way to install software.
pip - The PyPA recommended tool for installing Python packages.
Scoop - A command-line installer for Windows
Conda - Binary package manager with support for environments.
Homebrew - The missing package manager for macOS
pre-commit by Yelp - A framework for managing and maintaining multi-language pre-commit hooks