From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Handle millions of rows by loading queries into Power Pivot, building relationships, and creating measures for fast variance views.

Abstract: With the development of the semiconductor industry, more advanced electronic packaging solutions are being developed for improved manufacturing processes. The sparse Ball Grid Array (BGA) ...

Abstract: The classical sparsity-based source identification method encounters the basis mismatch problem due to discretizing the focus region and assuming that acoustic sources are on-grid. This ...

Apple-style 2-bit QAT + LoRA Recovery for Qwen/Qwen3-0.6B (MPS-first, CUDA-supported) This repo is a practical reproduction of the 2-bit Quantization-Aware Training (QAT) + LoRA "quality recovery ...