Staging environment
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

Manisha Arora

Data Science Lead at Google

Previously at

Google
Axtria
MIT research group
UT Austin
See all products from Manisha Arora