AWS Data Wrangler
getting-started
Our great sponsors
| AWS Data Wrangler | getting-started | |
|---|---|---|
| 9 | 5 | |
| 3,797 | 2,844 | |
| 1.2% | 1.1% | |
| 9.4 | 0.0 | |
| 7 days ago | 13 days ago | |
| Python | JavaScript | |
| 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
getting-started
-
NEED HELP for good mark
You should do docker’s getting-started container it’ll help fill gaps.
-
Can I hire someone to help me install docker and Esrgan?
I have docker installed but im having issues with it im too dumb to follow this tutorial https://youtu.be/B134jvhO8yk i have no idea what hes it doing at around the 3 minute mark where he is creating a "clone" im getting this message at the Tutorial part in docker I went and removed the container and tried it again but im getting the same issue. I PS C:\Users\user> docker run --name repo alpine/git clone https://github.com/docker/getting-started.git
-
Docker failed to start service utility VM
C:\Windows\system32>docker run --name repo alpine/git clone \ https://github.com/docker/getting-started.git Unable to find image 'alpine/git:latest' locally latest: Pulling from alpine/git 97518928ae5f: Pull complete b8d269ae55e3: Pull complete b863f4504196: Pull complete b90e122235c6: Pull complete Digest: sha256:d4740deff7f05d2d48771ff66d9d9c26dfb76f0db0aa833b1ea0ee346fa1e48f Status: Downloaded newer image for alpine/git:latest docker: Error response from daemon: failed to start service utility VM (createreadwrite): hcsshim::CreateComputeSystem 94a61d6c784cb6e83c57feb0292ca424a482ef80c97ee7ec76e1d1b403b3f23b_svm: The virtual machine could not be started because a required feature is not installed. See 'docker run --help'.
-
Problem with Windows desktop client tutorial
docker run --name repo alpine/git clone \ https://github.com/docker/getting-started.git docker cp repo:/git/getting-started/ .
- from cmdline opts (docker) to YAML
What are some alternatives?
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
singer-sdk
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
meltano
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
zef - Toolkit for graph-relational data across space and time
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.