aws-data-wrangler
cloud-experiments
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aws-data-wrangler | cloud-experiments | |
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1 | 1 | |
3,559 | 0 | |
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10.0 | 3.6 | |
9 months ago | 8 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | - |
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aws-data-wrangler
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Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
AWS Data Wrangler GitHub Repository: https://github.com/awslabs/aws-data-wrangler
cloud-experiments
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Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
You can also git clone the repository that has the code used in this tutorial.
What are some alternatives?
boto3 - AWS SDK for Python
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Trapheus - This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
ray_snowflake - Ray Data Connector for Snowflake
demo-code - Bits of code I use during live demos
aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
dbt-athena - The athena adapter plugin for dbt (https://getdbt.com)
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.