#python

While building my chess project in Python (in Thonny), my goal was to create more than just a “board with pieces”. I wanted a practical desktop application that lets you play against a chess engine or

Learn AI Series (#131) - Graph Neural Networks What will I learn You will learn why some data is fundamentally graph-shaped and loses its most valuable signal the moment you flatten it into a table or

Learn AI Series (#130) - Causal Inference and ML What will I learn You will learn why correlation is not causation and why that gap quietly breaks ML systems the moment somebody uses their predictions

Learn AI Series (#129) - AutoML and Neural Architecture Search What will I learn You will learn hyperparameter optimization properly -- grid search, random search, and why random search quietly beats the

Learn AI Series (#128) - Privacy-Preserving AI What will I learn You will learn differential privacy (DP) -- the one idea in this whole area that hands you an actual mathematical guarantee instead of a

I always saw code as a foreign and distant language, but deep down, I knew I wanted to lose my fear of it. What I never imagined was that my gateway into this world would be, of all places, Stanford

Learn AI Series (#127) - AI Security What will I learn You will learn adversarial examples -- tiny, imperceptible perturbations that flip a confident classifier from "panda" to "gibbon",

Learn AI Series (#126) - Distributed Training What will I learn You will learn data parallelism with DistributedDataParallel -- the boring, brilliant workhorse that gets you from one GPU to hundreds by

Learn AI Series (#125) - GPU Programming Basics What will I learn You will learn why GPUs are the beating heart of modern AI -- and why "a lot of small cores" beats "a few fast cores"

Learn Python Basics Together 🚀 | Day 11 Welcome back to our Python learning series! In today's lesson, we learn about PIP, Python's official package manager. Instead of writing everything from scratch,

Learn Python Basics Together 🚀 | Day 10 Welcome back to our Python learning journey! In today's lesson, we learn how to work with Dates and Time in Python using the built-in datetime module. Understanding

Learn AI Series (#124) - CI/CD for Machine Learning What will I learn You will learn why CI/CD for machine learning is a genuinely harder problem than CI/CD for ordinary software -- the "artifact"

Learn AI Series (#123) - Monitoring ML in Production What will I learn You will learn why monitoring an ML system is a fundamentally different job from monitoring ordinary software -- models fail silently,

Learn AI Series (#122) - Edge AI: Running Models on Devices What will I learn You will learn why we push AI off the server and onto the device: latency, privacy, reliability, and cold hard cost; what the

Learn AI Series (#121) - Model Serving Architecture What will I learn You will learn REST vs gRPC for model serving, and which one to reach for when latency actually matters; batch prediction vs real-time

Learn Python Basics Together 🚀 | Day 8 Welcome back to our Python learning series! In today's video, we explore File Handling in Python, one of the most practical topics you'll use in real-world applications.

Learn AI Series (#120) - Model Optimization: Making Models Fast What will I learn You will learn quantization: dropping precision from FP32 to INT8 (and even INT4) while keeping almost all of your accuracy;

Learn Python Basics Together 🚀 | Day 7 Welcome back to our Python learning series! In today's lesson, we dive deeper into Object-Oriented Programming (OOP) by learning three essential concepts: ✅ Inheritance

Source Code: 🐍 Welcome to Day 1 of the Learn Python Basics series! Looks like the original Day 1 recording was accidentally misplaced, so I decided to re-record it with even better explanations. In this