{"repo":"aws/aws-sdk-pandas","free":true,"listed":false,"github":"https://github.com/aws/aws-sdk-pandas","clone":"git clone https://github.com/aws/aws-sdk-pandas.git","description":"pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).","language":"Python","stars":4115,"topics":["python","aws","pandas","apache-arrow","apache-parquet","data-engineering","etl","data-science","redshift","athena"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"AWS SDK for pandas (awswrangler) Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). An AWS Professional Service open source initiative aws-proserve-opensource@amazon.com Source Downloads Installation Command -------- ----------- ---------------------- PyPi pip install awswrangler Conda conda install -c conda-forge awswrangler ⚠️ Starting version 3.0, optional modules must be installed explicitly: ➡️ pip install 'awswrangler[redshift]' Table of contents - Quick Start - At Scale - Read The Docs - Getting Help - Logging Quick Start Installation command: pip install awswrangler ⚠️ Starting version 3.0, optional modules must be installed explicitly: ➡️ pip install 'awswrangler[redshift]' At scale AWS SDK for pandas can also run your workflows at scale by leveraging Modin and Ray. Both projects aim to speed up data workloads by distributing processing over a cluster of workers. Read our docs or head to our latest tutorials to learn more. Read The Docs - What is AWS SDK for pandas? - Install - PyPi (pip) - Conda - AWS Lambda Layer - AWS Glue Python Shell Jobs - AWS Glue PySpark Jobs - Amazon SageMaker Notebook - Amazon SageMaker Notebook Lifecycle - EMR - From source - At scale - Getting Started - Supported APIs - Resources - Tutorials - 001 - Introduction - 002 - Sessions - 003 - Amazon S3 - 004 - Parquet Data","default_branch":null,"files":null,"tree":[],"storefront":"/r/aws","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aws/aws-sdk-pandas/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}