polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
How chunked arrays turned a frozen machine into a finished climate model ...
Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
Type-safe language for the Erlang VM and JavaScript runtimes now supports external annotations for external types.
Abstract: Advances in ultrasonics, that have been translated to new techniques for ultrasound image acquisition and its post-processing, have been done not only by the use of hardware developments and ...
GenML is a Python library designed for generating Mittag-Leffler correlated noise, which is crucial for modeling a wide range of phenomena in complex systems. This document provides a brief overview ...
Abstract: This document offers an overview of fundamental functionalities within the Python Control Systems Library (python-control), a software tool in Python tailored for designing control systems.
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