Free Lesson
Notebook to Production with GitHub
30 min
Jan 23, 2025 6:00 PM
Virtual (Zoom)
In this video
What you'll learn
Organize Workflows for Reproducibility and Scalability
Structure projects with modular code, clean hierarchies, and version control for scalability and reproducibility.
Transition from Jupyter Notebooks to Production Code
Convert messy notebook code into reusable scripts and pipelines for ingestion, training, and deployment.
Collaborate with your Team via GitHub
Use GitHub branching, pull requests, and automations to streamline workflows and enhance team collaboration.
Why this topic matters
Many data scientists struggle to move beyond notebooks, leading to scattered files, poor reproducibility, and collaboration issues. Adopting GitHub best practices helps organize workflows, streamline collaboration, and transition to production smoothly. These skills are essential for solving real-world challenges and showcasing polished, professional projects that can elevate your career.
You'll learn from

Manisha Arora
Data Science Lead at Google
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