Data science, career and other topics
24 July 2026
A review of the second edition of Python for Algorithmic Trading Cookbook by Jason Strimpel, a 68-recipe book that goes from getting raw data to live execution on the Interactive Brokers API.
20 July 2026
Harness Handbook proposes a new way to navigate large AI agent codebases by organizing them around behaviors instead of files. The result is better code localization, higher-quality edit plans, and more efficient agent engineering.
17 July 2026
A review of Time Series with PyTorch, a broad deep-learning-for-forecasting book that teaches from honest evaluation and PyTorch fundamentals through RNNs, transformers, conformal prediction and diffusion, and on into classification, clustering, and anomaly detection.
09 July 2026
I used a Claude Code starter kit and Google Antigravity with Gemini 3.1 to participate in a Kaggle Playground competition. Most of the work was catching the silent bugs and stopping the agent from taking wrong turns.
08 July 2026
Two experiences from two CayleyPy Kaggle competitions: how learned-heuristic beam search solves enormous Cayley graphs, and how Claude Code simplifies and speeds up the engineering loop.
06 July 2026
A review of GPU-Accelerated Computing with Python 3 and CUDA by Niels Cautaerts and Hossein Ghorbanfekr, a hands-on book that goes from raw Numba-CUDA kernels through CuPy, RAPIDS, and JAX to four full applications, with a profile-everything approach.
