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refactor: re-home aws-sdk-pandas from pandas sub-item to ETL General

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Sub-item policy reserves sub-items for awesome-* links. aws-sdk-pandas
promoted out as awswrangler in Data Ingestion / ETL > General
(85.3M downloads/mo, 10x dlt, active).

Co-Authored-By: Claude <noreply@anthropic.com>
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Vinta Chen
2026-08-16 16:44:38 +08:00
co-authored by Claude
parent 0e9ae0cb04
commit f13075b2af
1 changed files with 1 additions and 1 deletions
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README.md
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@@ -480,7 +480,6 @@ _Libraries for serializing complex data types._
_Libraries for data analysis._
- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas)
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
- [ibis-framework](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
@@ -489,6 +488,7 @@ _Libraries for data analysis._
_Libraries for data extraction, transformation, and loading pipelines across multiple sources and destinations._
- General
- [awswrangler](https://github.com/aws/aws-sdk-pandas) - Pandas integration with AWS services like Athena, Glue, Redshift, S3, and DynamoDB.
- [dlt](https://github.com/dlt-hub/dlt) - A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations.
- [pathway](https://github.com/pathwaycom/pathway) - Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- Financial Data