I Switched From Windows To Linux For 1 Month — Here Is What Happened
Author(s): Artem Shelamanov
Originally published on Towards AI.
This member-only story is on us. Upgrade to access all of Medium.
Long story short: my PC broke, and while it was on repairs, I had to use my laptop with nothing but Linux on it. I used Windows 11 on my PC for most of the tasks, and my laptop was only for taking notes or going on work trips. But now, I had to use Linux without any compromises. I work as a data scientist, and I use my PC a lot both during work and leisure time. That’s why this experiment may be interesting for other data scientists considering switching.
I used Pop!_OS, which is basically Ubuntu with some things preinstalled (like NVIDIA drivers — it was always a pain to set them up). I used it for browsing, gaming, studying, machine learning and desktop/web development.
In this article, I will share the main results of this change — did it make my life easier or harder, what was different now and where I encountered problems. Finally, I will answer the question — can you switch to Linux and do everything what you did on Windows, or are there some things which are irreplaceable, and you have to use Windows… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
