Jupyter Notebooks Presentation

What are Notebooks?

Jupyter Notebooks are interactive, web-based tools that allow developers and data scientists to combine code, visualizations, and narrative text in a single document.

They are ideal for data analysis, experimentation, and educational purposes. The notebook format enables users to write and execute code in cells, view outputs immediately, and create a narrative around their work, making it accessible and understandable for both technical and non-technical audiences. This makes Jupyter Notebooks a powerful platform for collaboration, teaching, and sharing insights.

Useful for:

• EDA (exploratory data analysis)
• creating AI model POCs
• anything where you want visibility of every step of the process or want to build up and adjust a process without needing to rerun the whole flow from the start

Less useful for:

• creating production ready code
• working on code that a number of people will want to be editing at the same time

What's in this repo?

Notebooks and example data for an intro presentation on Jupyter notebooks and when they might be a useful tool.

This repo has been set up to be able to run in a number ways:

• as a poetry project. Run poetry install and then poetry run jupyter notebook to get up and running with this
• as a colab notebook. For this to work you should:
  • open Google colab
  • upload notebook-example/notebook-intro.ipynb to colab
  • set the config param in_colab near the top to be True
  • follow the instructions in the notebook to get the other dependent files uploaded
• there's also a requirements.txt for you to use if you prefer

Files:

• notebook-example/notebook-example.ipynb is a more complete annotated file that we'll be looking through.
• notebook-example/notebook-tips.ipynb is a reference file that contains some tips and recommendations to help you get the most out of your notebooks.