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I propose adding a Polars plugin to the emval library to enable high-performance email validation directly within Polars DataFrames. This integration would allow users to efficiently validate large datasets of email addresses, leveraging emval's speed and Polars' data manipulation strengths.
Benefits:
Performance: Validate entire DataFrames of emails quickly using Rust's performance.
Integration: Seamlessly incorporate email validation into existing Polars workflows.
Scalability: Handle large datasets efficiently with minimal performance overhead.
Proposed Usage:
The plugin would enable email validation with the following syntax:
bnkc
changed the title
Proposal: Integrate Polars Plugin for High-Performance Email Validation
Integrate Polars Plugin for High-Performance Email Validation
Nov 30, 2024
bnkc
changed the title
Integrate Polars Plugin for High-Performance Email Validation
Integrate Polars Plugin for High-Volume Email Validation
Nov 30, 2024
Description:
I propose adding a Polars plugin to the
emval
library to enable high-performance email validation directly within Polars DataFrames. This integration would allow users to efficiently validate large datasets of email addresses, leveragingemval
's speed and Polars' data manipulation strengths.Benefits:
Proposed Usage:
The plugin would enable email validation with the following syntax:
Proposed Project Structure:
Optional Installation:
The Polars plugin should be an optional dependency, installable via:
This ensures the base
emval
library remains lightweight for users who don’t require the plugin.Reference Documentation:
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