aws-data-wrangler
ray_snowflake
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| aws-data-wrangler | ray_snowflake | |
|---|---|---|
| 1 | 1 | |
| 3,559 | 4 | |
| - | - | |
| 10.0 | 6.6 | |
| 9 months ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
ray_snowflake
What are some alternatives?
boto3 - AWS SDK for Python
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
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.
SnowDDL - Declarative-style object management tool for Snowflake.
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
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
demo-code - Bits of code I use during live demos
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.
snowflake-provisioning - Snowflake Database, Schema, and Warehouse provisioning with Access Roles & Generating and Provisioning of Functional Roles & Snowflake Source Export & Snowflake cloning tool
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.