#dependency-management

#dependency-management

Every data science project must aim for production-level code delivery.

Many junior data scientists struggle with development skills, impacting their project execution.

Effective environment management is crucial in data science to avoid operational issues.

Dependency management is crucial for Python projects using external packages.

Poetry simplifies version control and dependency management for consistent development environments.

Using uv for managing Python versions and dependencies is more efficient than traditional methods like pyenv or Homebrew.

Using command-line scripts in Python is straightforward for scripts without dependencies, but it complicates when external packages are needed.

The Python packaging ecosystem lacks effective tools for composing layered virtual environments, hindering shared dependency management for applications.

Creating and publishing a Python package to PyPI using Poetry involves steps like preparing an account, generating an API token, and setting up a project with dependencies.