![]() ![]() Having said that both packages are very easy to install and deploy to your system.Īll you will need to have as a pre-requisite is the PIP (Python package manager). As you will see in the installation below the first dependency it installs is black. Both of these packages provide very simple ways of doing it but let’s go more into the specifics to fully understand this process.įirst you need to keep in mind that blue uses under the hood black. The first section we will be covering is the installation and update process of the package itself. In this review we will be comparing ` Installation / Update Python Code Formatters – Installation I believe those two projects have a lot of potential and will probably dictate the goto standard for most people looking to prettify, beautify and format their Python code. Once again keep in mind that below we will be focusing on the differences between Python Black and Blue. ![]() ![]() Now that we went over some definitions lets start diving into the deep waters and break down each feature to help you decide which solution is better for you. Detailed Comparison For Python Code Formatters Once we analyze the differences you will know which one to use. When you have consistency and things are laid out nicely on the editor it makes it easier to debug and understand as well. There’s many advantages to doing this which we will outline below.īasically your code looks prettier and more beautiful along with easier to read for some third party. The idea behind this is that your code looks consistently the same across the board at least a syntactic level. Basically a code formatter takes as input your Python code and produces as output a standard formatted Python script. To beautify code in Python you need to make use for a code formatter. If you don’t want to spend a lot of time going through the differences between the two, I made a quick comparison table for you to go through and see the differences between the two and hopefully make a choice for yourself.įor more detailed information and how these two compare you will need to keep reading on the sections below as I answer very popular questions and I go into depth on their differences so you can make a more educated choice for your next project. We will go point by point on how both compare in various tasks and what is the advantage of each of them. I believe both have a place in my heart but which one do I use the most and why? I will be breaking down this and you can make your own mind up. I have used both PIP and Poetry successfully in various projects and they both work like a charm.
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