AWS Data Wrangler
pandas
Our great sponsors
| AWS Data Wrangler | pandas | |
|---|---|---|
| 9 | 1 | |
| 3,791 | 24 | |
| 1.1% | - | |
| 9.4 | 1.8 | |
| 7 days ago | almost 4 years ago | |
| Python | ||
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
-
Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool
- I agree that Arrow Tables are great, but we decided to keep the library focused on the Pandas interface. [wont implement]
- Automate some wrangling and data visualization in Python
-
Redshift API vs. other ways to connect?
awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler
-
Parquet files
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler
-
Reading s3 file data with Python lambda function
you'll find pre-made zips here: https://github.com/awslabs/aws-data-wrangler/releases
-
A guide to load (almost) anything into a DataFrame
Don't forget about https://aws-data-wrangler.readthedocs.io/
-
Go+: Go designed for data science
Yep, agreed. Go is a great language for AWS Lambda type workflows.
Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.
- Best way to install pandas and bumpy to AWS Lanbda
pandas
What are some alternatives?
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
gophernotes - The Go kernel for Jupyter notebooks and nteract.
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
spx - spx - A Scratch Compatible Go/Go+ 2D Game Engine for STEM education
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
igop - The Go/Go+ Interpreter
gop - The Go+ programming language is designed for engineering, STEM education, and data science
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.