PyNoon Plus Lesson 3

Warm-Up Exercise

• Continue working on your Personal Python Project
• Pair up and review each other’s project work
  • Without explaining your code, can they understand what each line achieves?
  • What changes would make it easier to read?
  • Do you have any suggestions to DRY out your partner’s code?

Thanks

• To the host for the great venue!
• To our sponsors

Administrivia

• Fire escapes
• Toilets
• Cleaning up after ourselves
• Wi-Fi

Lunch Talk: Deploying Python Code

• Sharing a Jupyter notebook
• Users already have Python installed
• “Native” applications (e.g. desktop or mobile app)
• Python web applications
  • Beyond the scope of this course

Sharing a notebook

Sharing a notebook

• Option 4: Create a runnable html file
  • A recent development; some Python libraries and functions won’t work
  • E.g. Panel convert, Voici, stlite
  • pyscript also lets you write Python directly in a html file (without a notebook)
  • We’ll look at Panel convert in today’s tutorial

Users already have Python installed

• Option 1: Make a runnable zip file: zipapp
• Option 2: Create a Python package
  • uv makes packaging easy
  • Share the package as a pip-installable file
  • Publish on pypi for anyone to install with pip
• Useful for:
  • Libraries of functions for other programmers
  • Command-line apps - e.g. Built with argparse
  • Desktop/GUI apps - e.g. Built with Tkinter

Packaging a “native” application

• Often a bit tricky…
• Lots of tools and libraries out there:
  • PyInstaller
  • cx_Freeze
  • and more…
• Cross-platform development (desktop + mobile):
  • Kivy
  • Beeware

Tutorial Objectives

• Building user interfaces in Jupyter notebooks
• Deploying a notebook as an html file (web page)

Independent Work/Homework

1. Exercise Notebook:
   • User interface practice
   • See the Exercise Notebook for PyNoon Plus Lesson 3 at pynoon.github.io/lessons
2. Work on your own Python project