Metadata-Version: 2.1
Name: sparksnake
Version: 0.2.0
Summary: Improving the development of Spark applications deployed as jobs on AWS services like Glue and EMR
Home-page: https://github.com/ThiagoPanini/sparksnake
Author: Thiago Panini
Author-email: panini.development@gmail.com
License: MIT
Keywords: Cloud,AWS,Python,Spark,pyspark
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: Portuguese (Brazilian)
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.0.0
Description-Content-Type: text/markdown
License-File: LICENSE

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## Table of content

- [Table of content](#table-of-content)
- [What is the sparksnake library?](#what-is-the-sparksnake-library)
- [Features](#features)
- [Contact me](#contact-me)
- [References](#references)


## What is the sparksnake library?

The *sparksnake* library provides an easy, fast, and efficient way to use Spark features inside analytics services on AWS. With *sparksnake*, it is possible to use classes, methods and functions developed in pyspark to simplify, as much as possible, the journey of building Spark applications anywhere!

> **Note**
>  Now the *sparksnake* library has an official documentation in readthedocs! Visit the [following link](https://sparksnake.readthedocs.io/en/latest/) and check out usability technical details, hands on demos and more!


## Features

- 🤖 Apply common Spark operations using few lines of code
- 💻 Start developing your Spark applications anywhere using the "default" mode or in any AWS services that uses Spark
- ⏳ Stop spending time setting up the boring stuff of your Spark applications
- 💡 Apply the best practices on your application by structuring your code following the best practices
- 👁️‍🗨️ Improve your aplication's observability by using detailed log messages on CloudWatch and exception handlers

___

## Contact me

- [Thiago Panini - LinkedIn](https://www.linkedin.com/in/thiago-panini/)
- [paninitechlab @ hashnode](https://panini.hashnode.dev/)

___

## References

**Python**

- [Python - Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)

**Docs**

- [Eduardo Mendes - Live de Python 189 - MkDocs](https://www.youtube.com/watch?v=GW6nAJ1NHUQ&t=2s&ab_channel=EduardoMendes)
- [MkDocs](https://www.mkdocs.org/)
- [pmdown-extensions](https://facelessuser.github.io/pymdown-extensions/)
- [GitHub - MkDocs Themes](https://github.com/mkdocs/mkdocs/wiki/MkDocs-Themes)
- [GitHub - Material Theme for MkDocs](https://github.com/squidfunk/mkdocs-material)
- [Material for MkDocs - Setup](https://squidfunk.github.io/mkdocs-material/setup/changing-the-colors/)

**Github**

- [GitHub Actions - pypa/gh-action-pypi-publish](https://github.com/marketplace/actions/pypi-publish)
- [Medium - Major, Minor and Patch](https://medium.com/fiverr-engineering/major-minor-patch-a5298e2e1798)
- [Medium - Automate PyPI Releases with GitHub Actions](https://medium.com/@VersuS_/automate-pypi-releases-with-github-actions-4c5a9cfe947d)

**Tests**

- [Codecov - Setting Threshold](https://github.com/codecov/codecov-action/issues/554#issuecomment-1261250304)
- [Codecov - About the Codecov YAML](https://docs.codecov.com/docs/codecov-yaml)
- [Codecov - Status Checks](https://docs.codecov.com/docs/commit-status)
- [Codecov - codecov.yml Reference](https://docs.codecov.com/docs/codecovyml-reference)
- [Codecov - Ignore Paths](https://docs.codecov.com/docs/ignoring-paths)
