The book takes you through the world of programming, data science, and artificial intelligence step by step. It starts by revisiting Python, showing how this language powers much of today’s tech world. Then it moves on to how data science projects are planned and executed, which is great for understanding how raw data gets turned into smart decisions. There’s a section on how computers “see” through computer vision, and then it introduces Orange, a cool drag-and-drop data mining tool that makes machine learning simple. It also explains what big data is and why it’s such a big deal, followed by an easy walkthrough of how neural networks learn just like brains do. There’s a deep dive into generative AI—how machines create text, images, and videos that look like they’re made by humans—and it ends with a fun but super practical concept called data storytelling, where numbers are turned into meaningful stories.
School leader in olympiads
29-Aug-2025
The book kinda surprised me because I thought it was going to be all math formulas and heavy coding, but it actually feels like it’s holding your hand while explaining some pretty futuristic stuff. I liked how it started simple with Python and then slowly leveled up to things like neural networks and generative AI—it’s like going from learning how to ride a bike to suddenly trying out a rocket. The Orange tool part stood out because it felt less like studying and more like playing with a puzzle, dragging and connecting things until you make something cool. What really clicked with me was the section on big data and storytelling. Big data used to sound boring, but here it’s shown as something that powers Netflix, Amazon, and basically half the internet. And the storytelling bit at the end made me think differently about how numbers aren’t just numbers—they’re like little stories waiting to be told. Overall, the book feels less like a textbook and more like someone sitting next to you and explaining tech in a way you’d actually get without zoning out.
21-Aug-2025
This thing actually makes AI feel less scary and exciting at the same time… like you start with some code and before you know it you’re messing with data science steps and neural nets. it’s kinda like climbing stairs, each chapter just pushes you one step higher. sometimes it feels heavy but the activities lowkey save it from being all theory dump.