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airflow-master

This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀

airflow-studyclub

Grupo de estudio Apache Airflow organizado por la comunidad Data Engineering Latam

aws-databases-project

This repository has some awesome projects related to some of the most important Databases services of AWS.

aws-glue-jobs-unit-testing

Demo code to illustrate the execution of PyTest unit test cases for AWS Glue jobs in AWS CodePipeline using AWS CodeBuild projects

bash-for-data-science

Tutorial sobre la manipulación y transformación de datos usando Bash

books

book list

cicdudea

clasificacionvinos

Trabajo de Clasificación para el curso de Aprendizaje de Máquinas y Analítica Predictiva

cookiecutter-pypackage

Cookiecutter template for a Python package.

data-engineering-zoomcamp

Free Data Engineering course!

data_engineering_simplified

demo-conflicto

Conflicto en Merge

demo-de-clase-2018-01

Demostración de creación de repositorio

devopsroadmap

DevOps Roadmap

docker-tutorial

Docker Tutorial from their Website

etl-with-airflow

ETL best practices with airflow, with examples

first-contributions

🚀✨ Help beginners to contribute to open source projects

freecodecamp-intro-to-pandas

ghactivity-aws

End to End Pipeline using AWS Services such as s3, boto3, lambda, ECR, step functions, Dynamodb, Step Functions, etc

git_web_practice

Base static web exercise

git_web_practice_branch

ocr_opencv_and_pytesseract

Newspaper OCR and Facial Recognition using Pillow, OpenCV and PyTesseract

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

pandasudea

pyproj

Python Project for Data Engineering IBM

pyscienti

python

All Algorithms implemented in Python

python-studyclub

¡Club de estudios para Python! Se comparte material útil sobre los diversos temas avanzados sobre Python en la comunidad.

scaffold

this is a project scaffold for python

spark-studyclub

Grupo de Estudios de Apache Spark organizado por la comunidad Data Engineering Latam