prevailing-winds
AWS Data Wrangler
| prevailing-winds | AWS Data Wrangler | |
|---|---|---|
| 7 | 9 | |
| 7 | 3,802 | |
| - | 0.6% | |
| 6.6 | 9.4 | |
| 3 months ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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prevailing-winds
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Hawaii to WA
You can look here for weather averages for the past few years: https://www.prevailing-winds.de/
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Just updated my windroses app with new data
Hi, I'm a bit late but I just updated my weather app with data from 2021 (https://www.prevailing-winds.de/). It's an app windroses, precipitation, sea state of the past 5 years. Feel free to use it (no ads or anything)
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Show: I made an interactive pilot chart for planning sailing holidays. It shows winds, sea state, water temperature, and more. (No ads)
It's a dataset from https://cds.climate.copernicus.eu/. A reanalysis with all kinds of parameters on an hourly resolution back to 19-something. If you are interested in how I prepared it, it's all on github: https://github.com/mRcSchwering/prevailing-winds/tree/main/prep
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Show: Interactive map with historic winds
Is that 1/10 of Azimut bearings? I don't want to clutter the UI but I'm thinking about it: https://github.com/mRcSchwering/prevailing-winds/issues/6
AWS Data Wrangler
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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
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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
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Parquet files
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler
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Reading s3 file data with Python lambda function
you'll find pre-made zips here: https://github.com/awslabs/aws-data-wrangler/releases
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A guide to load (almost) anything into a DataFrame
Don't forget about https://aws-data-wrangler.readthedocs.io/
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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
What are some alternatives?
gdal2tiles-leaflet - Generate raster image tiles for use with leaflet.
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
python-lambda - A toolkit for developing and deploying serverless Python code in AWS Lambda.
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
django-leaflet-admin-list - The Django Leaflet Admin List package provides an admin list view featured by the map and bounding box filter for the geo-based data of the GeoDjango.
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
Zappa - Serverless Python
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
chalice - Python Serverless Microframework for AWS
zef - Toolkit for graph-relational data across space and time