Making Your Notebook Interactive and Using Python's Assert

Real Python

Conseillé par :
Mathieu

Would you like to build visualizations that allow your audience to play with data? How do you effectively use Python’s assert statement during development? This week on the show, Christopher Trudeau is here, and he’s brought another batch of PyCoder’s Weekly articles and projects.

We talk about an article that shows how to build interactive visualizations with pandas, seaborn, and ipywidgets. These widgets allow you to add sliders, buttons, and dropdown menus to your Jupyter Notebooks.

Christopher shares the Real Python article “Python’s assert: Debug and Test Your Code Like a Pro”. It covers how to use assert statements to document, debug, and test code while in development.

We cover several other articles and projects from the Python community, including a news roundup, code review guidelines for data science teams, a project to manage your to-do lists using Python and Django, a Python 4 dream list, a static site generator based on Django, and a book of practical Python projects.

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Topics:

00:00:00 – Introduction
00:02:12 – Tomli TOML Parser Will Be in Python 3.11 Standard Library
00:03:53 – Python Core Moving Bug Tracking to Github
00:05:54 – Python Release: Python 3.11.0a6
00:06:09 – PEPs have a new home with a shiny, new theme!
00:07:03 – Python’s assert: Debug and Test Your Code Like a Pro
00:10:35 – Sponsor: FusionAuth
00:11:12 – Interactive Visualizations with Pandas, Seaborn and Ipywidgets
00:16:06 – Code Review Guidelines for Data Science Teams
00:19:22 – Manage Your To-Do Lists Using Python and Django
00:23:56 – Video Course Spotlight
00:24:56 – Your Python 4 Dream List
00:34:37 – django-distill | Static Site Generator Based on Django
00:38:40 – Practical Python Projects Book
00:46:02 – Thanks and Goodbye

News:

Topic Links:

Python’s assert: Debug and Test Your Code Like a Pro – Learn how to use Python’s assert statement to document, debug, and test code in development.
Interactive Visualizations with Pandas, Seaborn and Ipywidgets – Create interactive visual output using ipywidgets.
Code Review Guidelines for Data Science Teams – Although written for data science teams, a good article on why any team of coders should do code reviews. How to do them, what to look for, and how to improve your code.
Manage Your To-Do Lists Using Python and Django – Use Django to build a to-do list manager app. This step-by-step tutorial will teach you how to use Django’s class-based views to build a powerful app while dramatically reducing your development time.
Your Python 4 Dream List – “If there was to ever be Python 4 (not a minor version increment, but full fledged new Python), what would you like to see in it?”

Projects:

Additional Links:

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