Catégorie : Saved Links
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Python readline completer and command line parser
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dans Saved LinksDescription pyrl-complete is a Python library for building powerful, context-aware command-line auto-completion. It allows developers to define the grammar of a command-line interface (CLI) using a simple, human-readable syntax. The library parses this grammar to understand all possible command structures, including commands, sub-commands, options, and arguments. It then uses this understanding to provide intelligent auto-completion…
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I built “Panamaram” — an Offline, Open-Source Personal Finance Tracker in Python
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dans Saved LinksWhat My Project Does Panamaram is a secure, offline personal finance tracker built in Python. It helps you: – Track expenses & income with categories, notes, and timestamps – Set bill and payment reminders (one-time or recurring) – View visual charts of spending patterns and budget progress – Export reports in PDF, XLSX, or CSV…
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I built a CLI video editor with Python to make FFmpeg user-friendly. Meet `peg_this`!
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dans Saved LinksHey everyone, TL;DR: I made a Python CLI tool that puts a friendly, interactive menu on top of FFmpeg for common tasks like converting, cropping, trimming, and joining videos. You can grab it on GitHub here or do a pip install peg-this. What My Project Does peg_this is a simple tool that guides you through…
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Weird scam attempt in a grocery store parking lot — should I also report to police?
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dans Saved LinksAbout an hour ago (around 9:54 PM) something strange happened to me in the Price Chopper parking lot. A man came up to my car, bent down looking underneath, and told me he “dropped a brick of something” under there (I couldn’t really understand what he meant). I pulled my car a little to show…
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🌊 PySurf v1.2.0 – Lightweight Python Browser
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dans Saved LinksHey everyone! I’m excited to share PySurf v1.2.0, the latest update to my minimalist web browser built with Python and PyQt5. If you haven’t heard of PySurf before, it’s a lightweight, clean, and open source browser designed for speed and simplicity, made in Python using PyQt5. What’s New in v1.2.0: Downloads Support – Save files…
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Financial data preprocessing
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dans Saved LinksAnother weekend, another data preprocessing nightmare. This time: financial transaction data for fraud detection. Started with 500GB of transaction logs from our payment processor. JSON files, seemed straightforward enough. Naive me. Half the timestamps were in different formats – some UTC, some local time, some Unix timestamps. Took forever to normalize everything. Then discovered duplicate…
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ACCA PM & Audit : Which books should I use?
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dans Saved Linkshello everyone! I’m just starting out with ACCA and planning to sit for the PM and Audit papers for the December attempt. I’ve seen both Kaplan and BPP recommended, any advice on which one’s better? I’d also appreciate tips on: 1. Pratice questions or revision kits 2. How to approach studying these papers as a…
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AI Daily News Aug 15 2025: 💊AI designs new antibiotics for superbugs; Google’s new Gemma model is smaller than ever; Meta AI rules allowed romantic chats with minors; HTC’s new AI glasses; Google’s latest open AI model can run on your smartphone; GPT-5’s Medical Reasoning Prowess
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dans Saved LinksA daily Chronicle of AI Innovations August 15th 2025: Hello AI Unraveled Listeners, In today’s AI News, AI designs new antibiotics for superbugs; Google’s new Gemma model is smaller than ever; Meta AI rules allowed romantic chats with minors; HTC’s new AI glasses take aim at Meta; Google’s latest open AI model can run on…
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🤯 GPT-5’s Medical Reasoning Prowess: GPT-5 just passed the hardest medical exam on Earth, and outscored doctors
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dans Saved LinksListen at https://rss.com/podcasts/djamgatech/2168086 Summary: We’re not talking marginal gains. We’re talking GPT-5 beating licensed doctors, by a wide margin, on MedXpertQA, one of the most advanced medical reasoning benchmarks to date. Here’s what’s wild: 👉+24.23% better reasoning 👉+29.40% better understanding than human experts 👉Text-only? Still crushing it: – +15.22% in reasoning – +9.40% in understanding👉+24.23%…
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Rate my project
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dans Saved LinksBuilt an end-to-end credit risk model: XGBoost(Default prediction) + SHAP + Streamlit dashboard. Key Results: 0.73 ROC AUC, 76% recall for catching defaults Business-optimized threshold: 50% approval rate, 9.7% bad rate SHAP explanations for every loan decision Production-ready: modular .py scripts + interactive dashboard GitHub: https://github.com/shashi-hue/loan-default-risk-system submitted by /u/lambilund to r/learnmachinelearning [link] [comments]