With the LSEG Data Library, the same Python code can be used to retrieve data regardless of which access point you choose to connect to the platform. The series of examples presented in this project ...

We introduce a wavelet-weighted online dictionary learning (WWODL) denoising strategy for noisy microseismic recordings. We develop an adaptive parameters estimation approach for tunable Q -factor ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Robust tensor completion, which aims to recover a tensor from partial observations corrupted by Gaussian noise and sparse noise simultaneously, has a wide range of applications in visual data recovery ...

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal syntax. The standard library includes many useful modules that you can use to ...

Looker Data Dictionary Extension It uses React and TypeScript for writing your extension, the React Extension SDK for interacting with Looker, and Webpack for building your code.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.