Rapids
Rapids is an open-source suite of software libraries designed to accelerate data science workflows, particularly for large datasets. It leverages the power of NVIDIA GPUs to enhance performance in data processing tasks, making it a compelling alternative to traditional libraries like pandas. With a familiar API, Rapids allows data scientists to seamlessly transition from pandas to its GPU-accelerated counterparts, such as cuDF. This enables significant speedups in operations like feature engineering and data manipulation, making it particularly useful in fields that require handling vast amounts of data efficiently, such as finance, healthcare, and sports analytics.
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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Very spatial!
3D Ken Burns model
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React
Learn about React and JavaScript frameworks for web applications on Full Stack Python.
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Flags
Colors of Youth !! – CC BY-NC-ND by Rahul Sheel Day 21-22 of 30DayMapChallenge: « Icons & « Natural Earth (previously). The world as flags… Data install.packages("grImport2") install.packages("ggflags...
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Railways
Convergence – CC BY-SA by beeveephoto Day 25–26 of 30DayMapChallenge: « Hexagons and « Transports (previously). Estimating the disappearance of railway lines in France. Config library(sf) library(glue...
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Where really are the parking spots?
In the previous story, we explored the cuSpatial and cuGraph libraries from NVIDIA RAPIDS package and used them to find the walking distance to nearest parking points near Seattle’s Space Needle…
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