Rapids
RAPIDS is an open-source suite of software libraries developed by NVIDIA, designed to accelerate data science workflows through GPU computing. By leveraging the power of NVIDIA GPUs, RAPIDS enables faster data processing and analysis, making it particularly beneficial for handling large datasets. The core library, cuDF, provides a DataFrame-like interface similar to Pandas, allowing users to perform data manipulation and analysis with familiar syntax while achieving significant performance improvements. RAPIDS is increasingly popular in various domains, including machine learning, data engineering, and analytics, as it streamlines traditional workflows and enhances computational efficiency.
Pandas vs Polars vs Rapids: What’s the Most Convenient for a Laptop?
Stepping into the ever-evolving realm of data analysis, the choice of the right library for data processing has become important. In this dynamic landscape, Pandas, Polars, and Rapids emerge as formid...
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Feature Engineering with RAPIDS: NFL Data Bowl
Before starting this article, I want to ease your skepticism of switching from pandas to RAPIDS cudf, RAPIDS cudf uses the same API as pandas! RAPIDS is moving traditional Data Science workflows on…
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Quick Install Guide: Nvidia RAPIDS + BlazingSQL on AWS SageMaker
RAPIDS was announced on October 10, 2018 and since then the folks in NVIDIA have worked day and night to add an impressive number of features each release. The preferred installation methods…
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Rainbows on the prairie
Rainbows on the prairie July 30, 2010 This was originally posted on blogger here . What is life like on the prairie? Well, under the right conditions it is like this: About two months ago I rented a n...
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