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Sharing my journey through Python, Pandas, machine learning, deep learning, and generative AI, built from books, tutorials, and hands-on projects.
A structured summary of Part 1 (Chapters 1–3) from “Deep Learning for Coders with fastai and PyTorch” by Jeremy Howard & Sylvain Gugger— what I learned and why it matters! Breaking the Barriers: Deep Learning Is for Everyone The biggest myth about de...
When you first see a deep learning model recognize a cat or a handwritten number, it feels like magic. But in Deep Learning for Coders with fastai and PyTorch, Chapters 4–7 take you from that magic moment to fully understanding how it works under the...
In this guide, I’m going to skip the fluff and dive straight into Python syntax.It’s perfect if you already have some programming background — maybe in C, Java, or JavaScript — and just want to see how Python works differently. Let’s start with a sma...
We’ve now covered Python’s basic building blocks — numbers, operators, and type conversions — giving you the foundation to work with any kind of value. Next, we’ll move into Python’s more versatile data structures like lists, tuples, strings, and dic...