flake8

s. I think this is one of the main reasons for Python's success. It can be used as a high level interface to a huge low level ecosystem. ML wouldn't exist in Python without that. Python is a great language to create simple scripts as well. I use it as a bash replacement. But beware: Python can get really ugly if you rely too heavily on OOP/Inheritance. There is a lot of ugly Python code out there. I think Python shines the most if you use it in a procedural/semi-functional style and describe data-types for your business logic (almost) entirely with (dump) dataclasses [1] and namedtuples [2]. Beware2: Python's packaging story (package manager, etc) is currently in a messy state. There are good solutions, but it's difficult to find the right tools for a newcomer. I think it will take a couple of years for the dust to clear, but you might want to check out pipenv [7] or poetry [8] These packages will make your life a lot easier. I use them for every project: - black [3] or yapf [4] (auto-formatter) - mypy [0] (statically typing with editor support for VSCode) - pylint [5] or flake8 [6] (linter) [0] https://github.com/python/mypy [1] https://docs.python.org/3/library/dataclasses.html#module-da... [2] https://docs.python.org/3/library/typing.html#typing.NamedTu... [3] https://github.com/psf/black [4] https://github.com/google/yapf [5] https://github.com/PyCQA/pylint/ [6] https://github.com/PyCQA/flake8 [7] https://github.com/pypa/pipenv [8] https://github.com/sdispater/poetry