Data Scientist: From School to Work, Part I
Briefly

The article emphasizes that modern data science projects should always aim for production readiness, necessitating high-quality code. The author, a seasoned data scientist, notes that junior professionals often lack development skills. To assist, they aim to share tips for managing data science projects in Python, including tools like UV—a new Python projects and package manager designed to tackle dependency issues and streamline project organization. Effective environment management is highlighted as a critical skill to prevent common pitfalls faced by data scientists.
UV was given to us on PyPI, is Astral-themed and is short and easy to type. It simplifies Dependency Management and project organization.
To be a data scientist you need to master math, statistics, algorithmics, development, and have knowledge in operational development.
Read at towardsdatascience.com
[
|
]