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python-sample

python-tests

python_airflow_snowflake_trigger

Use Airflow to trigger Snowflake

pythoncheatsheet

A Cheat Sheet 📜 to revise Python syntax. Particularly useful for solving Data Structure and Algorithmic problems with Python.

pythondataanalysis

Python data repo, jupyter notebook, python scripts and data.

pythondatastructures

pythontutorial

pytricks

Collection of less popular features and tricks for the Python programming language

quick-report-scripting

Create a quick report by scripting with bash, awk and sed.

reddit-api-pipeline

redfin-aws-apache-airflow-data-pipeline

In this comprehensive guide, we'll take you through the process of setting up a data pipeline using AWS EC2, Apache Airflow, Snowflake Data Warehouse, and Power BI. Our primary objective is to extract Redfin housing market data, process it, and store it in Snowflake for analytics and reporting.

reference_etl

Tutorial for easy-to-manage data pipelines with Airflow

regex_101

A regular expression is a sequence of characters that define a search pattern.

reproducibleetla

Repo to store ETL-A code based on Shark Attacks Data from Kaggle.

retail-sales-prediction

retailstore_etl_pipeline_project

Built a Data Pipeline for a Retail store using AWS services that collects data from its transactional database (OLTP) in Snowflake and transforms the raw data (ETL process) using Apache spark to meet business requirements and also enables Data Analyst create Data Visualization using Superset. Airflow is used to orchestrate the pipeline

reusable_data_codes

This repository contains everyday codes for Data Scientists. It's weekly updated.

rick-morty-character-search-app

rosmann_pharmacy_prediction

In this project I built an end-to-end product that delivers pharmaceuticals sales prediction to analysts.

rossman_predictive_analysis

s3-redshift-batch-etl-pipeline

Built functional python ETL script with functions that initialized spark clusters using pyspark library to extract songs stored in S3 bucket. Partitioned songs data by year and artist_id and compressed in parquet output files to increase load performance. Used the overwrite mode in spark to ensure every new run of ELT script is overwritten in the data lake to avoid duplicates. Orchestrated ELT data pipeline that extracts from S3, loads in redshift for transformation and loads output back to S3. Used hooks in airflow to make connection credentials configurable in order to separate access rights from code base for security. Used operators to execute loading and transformation scripts for redshift with airflow DAG.

s3_to_redshift_with_airflow

sagemaker-ml-workflow-with-apache-airflow

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

sagemaker-pipelines

sagemaker-workshop

sagemaker-workshop-2021

Workshop content for Getting Started with Amazon SageMaker

sagemaker_examples

Examples of how to use Sagemaker for training and inference

sagemaker_notebooks

Notebooks built and deployed in Sagemaker

salt-formula-airflow

samples

Kirk's code samples