Jupyter Notebooks and Production Data Science Workflows - Andrew Therriault (City of Boston)

Jupyter notebooks are a great tool for exploratory analysis and early development, but what do you do when it's time to move to production? A few years ago, the obvious answer was to export to a pure Python script, but now there are other options. Andrew Therriault dives into real-world cases to explore alternatives for integrating Jupyter into production workflows. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter:   / oreillymedia   Facebook:   / oreilly   Instagram:   / oreillymedia   LinkedIn:   / 8459  

Using Jupyter’s Interactiveness to Build Better Predictive Models
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Using Jupyter’s Interactiveness to Build Better Predictive Models

Jupyter: Kernels, Protocols, and the IPython Reference Implementation
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Jupyter: Kernels, Protocols, and the IPython Reference Implementation

Jupyter Notebook Complete Beginner Guide - From Jupyter to Jupyterlab, Google Colab and Kaggle!
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Jupyter Notebook Complete Beginner Guide - From Jupyter to Jupyterlab, Google Colab and Kaggle!

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

Volodymyr (Vlad) Kazantsev - Clean Code in Jupyter notebooks, using Python
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Volodymyr (Vlad) Kazantsev - Clean Code in Jupyter notebooks, using Python

Keynote: Andrew Gelman - Data Science Workflow
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Keynote: Andrew Gelman - Data Science Workflow

Project Jupyter: From interactive Python to open science - Fernando Perez
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Project Jupyter: From interactive Python to open science - Fernando Perez

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
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GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

5 Jupyter Notebook Tips & Tricks to Improve your Data Science Workflow!
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5 Jupyter Notebook Tips & Tricks to Improve your Data Science Workflow!

Talks - Rob de Wit: Transforming a Jupyter Notebook into a reproducible pipeline for ML experiments
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Talks - Rob de Wit: Transforming a Jupyter Notebook into a reproducible pipeline for ML experiments

Data Engineering Principles - Build frameworks not pipelines - Gatis Seja
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Data Engineering Principles - Build frameworks not pipelines - Gatis Seja

Learn Python AND Data Science in just an hour
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Learn Python AND Data Science in just an hour

Why I stopped using Jupyter Notebooks
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Why I stopped using Jupyter Notebooks

A Conversation with Demis Hassabis, Co-Founder and CEO of Google DeepMind
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A Conversation with Demis Hassabis, Co-Founder and CEO of Google DeepMind

Jupyter Notebooks Tutorial | How to use them & tips and tricks!
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Jupyter Notebooks Tutorial | How to use them & tips and tricks!

Something is jamming GPS over Europe. Here's what we found
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Something is jamming GPS over Europe. Here's what we found

Gerrit Gruben - Leveling up your Jupyter notebook skills
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Gerrit Gruben - Leveling up your Jupyter notebook skills

PyData Tel Aviv Meetup: Diving into Pandas is faster than reinventing it - Dean Langsam
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PyData Tel Aviv Meetup: Diving into Pandas is faster than reinventing it - Dean Langsam

Make Jupyter/IPython Notebook even more magical with cell magic extensions!
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Make Jupyter/IPython Notebook even more magical with cell magic extensions!

Reproducible, One Button Workflows with the Jupyter Notebook & Scons | SciPy 2016 | Jessica Hamrick
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Reproducible, One Button Workflows with the Jupyter Notebook & Scons | SciPy 2016 | Jessica Hamrick