Andrey Lukyanenko
Book Review: Python for Algorithmic Trading Cookbook Amazon Packt Code on GitHub I was offered to read Python for Algorithmic Trading Cookbook by Jason Strimpel in exchange for an honest review. This book is a cookbook of 68 recipes that show you how to go from sourcing market data to...
Andrey Lukyanenko
Book Review: Time Series with PyTorch Amazon Packt Code on GitHub Lei Ma’s website I was offered to read Time Series with PyTorch by Graeme Davidson and Lei Ma in exchange for an honest review. Time-series forecasting is one of the most challenging areas of machine learning for me, and...
Andrey Lukyanenko
Starting and iterating on a Kaggle competition in Google Antigravity I spent a couple of days on a Kaggle Playground Series competition (S6E7, predicting a three-class health_condition from tabular health data), mostly as an excuse to try Google Antigravity 2.0 with Gemini 3.1 Pro, as part of...
Andrey Lukyanenko
Cayley graph search with Claude Code: what puzzle competitions look like in 2026 Over the last couple of months, I worked on two Kaggle competitions in the CayleyPy series: IHES Picture Cube and Megaminx. Both are combinatorial puzzle solvers, and they can be reformulated as a search in an...
Andrey Lukyanenko
Book Review: GPU-Accelerated Computing with Python 3 and CUDA Amazon Packt Niels Cautaerts on Medium Hossein Ghorbanfekr on GitHub I was offered the opportunity to read GPU-Accelerated Computing with Python 3 and CUDA by Niels Cautaerts and Hossein Ghorbanfekr in exchange for an honest...
Andrey Lukyanenko
Testing MiniMax M3 on real tasks: repo refactor, screenshot debugging, and Spotify recommendations I got early access to MiniMax M3, so I plugged it into Claude Code and used it to work on a few tasks that I wanted to complete for some time: a code audit and refactor of my old web game, two UI...
Andrey Lukyanenko
Book Review: 50 ML Projects to Understand LLMs Amazon Author’s website I was offered to read 50 ML Projects To Understand LLMs by Mike X Cohen in exchange for an honest review. Rather than building, fine-tuning, or prompting LLMs, the book treats GPT-2 as a scientific specimen and teaches you...