Enhanced Dev Env FAQs

Question 1

How do I install Python packages?

Accepted Answer

Use the UV package manager. For example, `python-install pandas numpy` to install pandas and numpy. You can also create virtual environments using `venv-create` and activate them using `venv-activate`.

Question 2

How do I start using Enhanced Dev Env?

Accepted Answer

You can quickly start using Enhanced Dev Env either with Docker or Vagrant. Simply use `docker-compose up -d` or `vagrant up` to build and start the environment, then access it via `docker-compose exec dev zsh` or `vagrant ssh`.

Question 3

What is Enhanced Dev Env?

Accepted Answer

Enhanced Dev Env is a pre-configured development environment designed to streamline Python development. It includes tools like UV package manager, modern CLI utilities, and containerization support with Docker and Vagrant.

Question 4

What are the key features of Enhanced Dev Env?

Accepted Answer

Key features include the UV package manager for fast Python dependency management, a suite of modern CLI tools (exa, bat, ripgrep), pre-configured Zsh with Oh My Zsh, Docker/Vagrant integration, and tools optimized for Python development (Black, isort, mypy, ruff, pytest).

Question 5

What Python development tools are included?

Accepted Answer

The environment is pre-configured with essential Python tools like UV, IPython, Black (formatter), isort (import sorter), mypy (type checker), ruff (linter), pytest (testing), debugpy (debugging), and pre-commit.

Enhanced Dev Env

소개

주요 기능

사용 사례