Setting Up Python Like a ML Engineer in 2025

My Modern Python Developer Setup for Machine Learning Projects In this video, I share my current developer setup for machine learning and Python projects. I'll walk you through the tools and frameworks I use, including my shift from AI-assisted coding back to Neo Vim, my package manager (UV), and my main frameworks (PyTorch and Polars). I'll also discuss my database provider (Superbase), my use of 'make' for project management, and the platforms I use for hosting models (Hugging Face) and training (Vast AI). I'm eager to hear your feedback and learn about your own setups! 00:00 Introduction and Background 00:46 Choosing the Right IDE 02:01 AI-Assisted Coding: Pros and Cons 03:04 Setting Up Your Python Environment 03:06 Package Management with UV 04:44 Exploring Data Handling Libraries 05:16 Database Choices and Setup 05:51 Using Make for Project Automation 07:18 Hosting and Training Models 07:50 Practical Demonstration 09:46 Conclusion and Feedback