Browsing: Designing

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required…

@tilelang.jit(out_idx=[-1]) def make_matmul(M: int, N: int, K: int, block_M: int = 128, block_N: int = 128, block_K: int = 32, num_stages: int = 3, threads: int…

import torch.nn as nn import torch.nn.functional as F from dataclasses import dataclass torch.manual_seed(0) @dataclass class Cfg: d_model: int = 192 n_head: int = 6 n_layer: int…

def render_pdf(d, path): “””Draw a realistic one-page invoice: header, meta, bill/ship, line items, totals, payment.””” from reportlab.lib.pagesizes import LETTER from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units…

banner(“1) logger.configure(): handlers + custom level + extra + patcher”) mem = MemorySink() logger.configure( handlers=[ {“sink”: sys.stderr, “format”: console_formatter, “level”: “DEBUG”, “colorize”: True, “backtrace”: True, “diagnose”:…

Most data platforms don’t fail with a big bangthey slowly degrade and lose impact. looks promising: dashboards are built, pipelines run, data becomes available and teams…

and asked if I could help extract revision numbers from over 4,700 engineering drawing PDFs. They were migrating to a new asset-management system and needed every…

Retail has always evolved around a central promise. First it was price and scale. Then convenience and speed. More recently, brand and experience took the lead.…

-Augmented Generation (RAG) has moved out of the experimental phase and firmly into enterprise production. We are no longer just building chatbots to test LLM capabilities;…

In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their…