This is a beginner-friendly guide that explores the implementation of GitHub Actions for building dynamic data pipelines and speeding up the development lifecycle, progressing through four different levels of workflow implementations:
Level 1: Simple workflow setup with manual triggers and Python script execution
Level 2: Push workflow with development environment setup
Level 3: Scheduled workflow with dynamic date handling and data fetching with command-line arguments
Level 4: Secure workflow with secrets and environment variables management
🗒️ Articles mentioned in the video:
https://towardsdatascience.com/4-leve...
/ 7-tips-to-future-proof-machine-learning-pr...
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