In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

textgrids is a module for handling Praat TextGrid files in any format (short text, long text, or binary). The module implements five classes, from largest to smallest: This program is free software: ...

Sometimes when I’m using AI tools to code, I need it to understand how I’ve structured my project. I’ve used the tree command-line utility on my Mac to create these structures, but it doesn’t work for ...

In this tutorial, we’ll learn how to create a custom tokenizer using the tiktoken library. The process involves loading a pre-trained tokenizer model, defining both base and special tokens, ...

import os from pptx import Presentation from pathlib import Path def convert_ppt_to_images(input_path, pptx_file, output_dir): if not os.path.exists(output_dir): os.makedirs(output_dir) pptx_file = os ...

xeno at its core is a simple Python dependency injection framework. Use it when you need to manage complex inter-object dependencies in a clean way. For the merits of ...

PyTorch has identified a malicious dependency with the same name as the framework's 'torchtriton' library. This has led to a successful compromise via the dependency confusion attack vector. PyTorch ...

H&M aims for a climate-positive value chain by 2040 through AI-driven initiatives. The company employs over 200 data scientists to analyse local customer purchasing patterns and trends. H&M Group is ...