Jupyter

Introduction

Jupyter is an open-source project that provides a browser-based interactive computing environment, allowing you to easily combine executable Python code, Markdown text, and visualizations into a single notebook.

Jupyter Keyboard Shortcuts

• Jupyter Keyboard Shortcut Cheatsheet

VS Code Integration

Jupyter Notebooks in VS Code

VS Code integrates the Jupyter notebook interface directly into the editor through the Jupyter extension. This setup provides a seamless experience for working with Jupyter notebooks without needing to manage separate server processes or switch to a browser.

Exporting Jupyter

Exporting the Jupyter Notebook

The command is jupyter nbconvert, followed by notebook to convert, destination format (option --to <format>) and output filename (option --output <filename>)

• Export to markdown
  • Can specify output name like --output output.md

jupyter nbconvert my_notebook.ipynb --to markdown 

• Export to html

jupyter nbconvert my_notebook.ipynb --to html --output output.html

• Use the basic template to embed the HTML as a fragment into

jupyter nbconvert my_notebook.ipynb --to html --template basic --output output.html

Google Colab

Google Colab Tutorial for Data Scientists

• Include a link to Google Colab

<a href="https://colab.research.google.com/github/chxtio/CS_7650_Natural_Language_Processing/blob/master/hw5_key_value_memory_network_assignment_v2.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>