autopep8 VS tox

AutoPEP8: This tool automatically formats Python code to conform to the PEP 8 style guide. It uses pycodestyle, a library that encapsulates the functionality of the original pep8 tool.

autopep8

I found three, code-formatting tools when looking at that for IDE's: autopep8; black; yapf. One or more might be able to automatically fix those problems. They might also have an API or command line call for it where you could add it in your pipeline: prompt -> response -> code formatter -> formatted response.

autopep8

Your code isn't PEP-8 compliant. Use black or autopep8 on your code to auto-format your code, or at least use pylint to check for issues, before asking anyone else to read your code.

Is there a tool that automatically styles Julia code according to some style guide similar to autopep8 in Python (https://pypi.org/project/autopep8/) or styler in R (https://www.tidyverse.org/blog/2017/12/styler-1.0.0/)?

I use autopep8 most of the time, but it does not even attempt to split these long conditionals. 😅

Tox is a powerful tool in Python development, primarily used for automating and standardised testing across multiple environments. It’s part of a larger vision of easing the packaging, testing, and release process of Python software. You should consider using tox in the following scenarios if your application needs to run across different Python versions, tox can help ensure your code works consistently across all these versions; If your project has complex dependencies, tox can manage and isolate these dependencies in different environments.

Another less heavyweight solution than Docker is Tox – handy for when you need to test software with multiple different versions of Python.