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Monday Oct. 12, 2020, 4:30 p.m.–Oct. 12, 2020, 4:45 p.m. in Jupyter Community: Practices

Supercharge your Data Science workflow with Notebooks, Visual Studio Code, and Codespaces

Jeffrey Mew

Audience level:
Novice

Brief Summary

Visual Studio Code and GitHub codespaces now offers a first-class Notebooks experience along with many great features for Data Scientists and Python developers alike. Come learn how you can explore and experiment with your Python code using the flexibility of Notebooks combined with the power and productivity of VS Code.

Outline

Background Knowledge: - Python - Jupyter Notebooks

Outline: Jupyter Notebooks and interactive programming have become one of the most popular tools for developing Python due to its flexibility and ease of use. Visual Studio Code now offers a first-class Notebooks experience along with many great features for Data Scientists and Python developers alike. Come see how you can explore, experiment, and productionize machine learning models using the flexibility of Notebooks combined with the power and productivity of VS Code for data science workloads.

Some of the features we will be showcasing are: - Intellisense/Intellicode (smart code completion) - Variable explorer / dataframe viewer - Remote development (remote Jupyter servers) - Run-by-line (Simplified notebook debugging) - Gather (Automatic notebook cleanup/dependency analysis) - Interactive Programming in the Interactive Window - GitHub Codespaces

Relevant Links: - Jupyter Notebooks in VS Code: https://code.visualstudio.com/docs/python/jupyter-support - Codespaces: https://github.com/features/codespaces