Overview

I've introduced all the packages that I always install when developing privately from packages that I often use at work. I think that data science people use Jupyter, so I think it is suitable for Web development. There are also dedicated packages that are useful when using web frameworks such as Django, but they are not mentioned in this article. There are famous package management such as Pipenv and poetry, but they are not written in this article.

Operating environment

The operating environment of the author. There should be no environment-dependent package, but just in case.

MacOS Python 3.8.0 anyenv 1.1.1 pyenv 1.2.15-1-g49bf5952

Python package to introduce

flake8

https://pypi.org/project/flake8/


$ pip install flake8

It is a library that checks whether the code in the project is styled according to the python coding standard "PEP8". It is one of the so-called Linter. Linter has the usual "pep8" and "pyflakes", flake8 has the functions of these two Linters, and you can check the coding more strictly. Therefore, it will be the same code in the sense that anyone can write it, and it will lead to writing code with good visibility.

pyformat

https://pypi.org/project/pyformat/


$ pip install pyformat

It is one of the formatters. It will automatically format your code according to Python's coding conventions. You can spend less time adjusting your coding style and focus on development. It will be powerful when used in combination with flake8. There are other tools such as "autopep8", "yapf", and "black", Choose according to your taste and project. I like the pyformat style and use it.

isort

https://github.com/timothycrosley/isort


$ pip install isort

An automatic formatting tool that specializes in sorting imports.

In python

`sample.py`


from hogehoge import foo
import sample

Import and use the library as follows. It will automatically sort the order of this import. There is no normal formatter that arranges the import order, so use "isort" to make up for it.

mypy

https://github.com/python/mypy


$ pip install mypy

For large projects, the code becomes difficult to understand in a dynamically typed language like Python. So mypy allows you to specify and check static language-like types.

bpython

https://bpython-interpreter.org/


$ pip install bpython

Code completion with python's interactive shell. Will highlight the letters There is "ipython" which is similar, but I use bpython because it is easy to see.

$ bpython

ipdb

https://pypi.org/project/ipdb/


$ pip install ipdb

By default, python has a debugger tool called "pdb", but it doesn't do code completion or highlighting. Therefore, "ipdb" highlights and complements ipython-like.

You can set breakpoints in your code with set_trace (), and variables etc. declared within the scope of that code will be completed properly.

Finally

Collective pip installation

$ pip install flake8 pyfortmat isort mypy bpython ipdb

There are many similar libraries in Python, and it is easy to get lost in selecting a technology. I hope it will be helpful for developing efficiently and comfortably.

The links here are a collection of well-known libraries, so you may want to refer to them.

Awesome Python: Great Python Framework Library Software Resources https://qiita.com/hatai/items/34c91d4ee0b54bd7cb8b

6 Python libraries for faster development and debugging

table of contents

Overview

Operating environment

Python package to introduce

`sample.py`

Finally