Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Analysis shows most security risk sits in longtail open source images, with 98% of CVEs outside top projects & Critical flaws ...

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

A lightweight Python package that extends scikit-learn's clustering ecosystem with additional algorithms and utilities. Features sklearn-compatible wrappers for Fuzzy C-Means, Faiss-based clustering, ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...