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Learn how to use Modal — a serverless GPU platform with $30/month free credits — to run data science and machine learning workloads from your local Jupyter notebooks and Python scripts. Covers setup with uv, notebook integration, GPU selection, and common pitfalls.
As a Data Science Masters student, I’m constantly working with mathematical concepts. From the calculus behind gradient descent to the linear algebra that powers PCA, math is the bedrock of everything we do. Recently, while tackling some homework, I stumbled upon a...
I recently met with a group of colleagues from the accounting firm (KPMG), where I worked many years ago, and I found it hard to explain to them, what I do in the field of Data Science and what Artificial Intelligence is and is not, so after giving it a lot of thought, I...
This is a Python reference guide that I wrote for myself, with code samples so I can remember how to write them. I embedded a Jupyter notebook inside this blog post to test them.
As part of the Data Science course I’m currently studying in Tec de Monterrey, I learned how to do remote python development using Github Codespaces for free. I found this to be an eye-opener as it meant I could use Visual Studio Code for coding Python apps directly on a...