Constraint Programming & Exploring Python's Built-in Functions | Real Python Podcast #213

What are discrete optimization problems? How do you solve them with constraint programming in Python? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

Christopher discusses an article about constraint programming using Python. He describes the fundamentals and how the problems resemble logic problems you may have experienced in school. The article shows how to solve a weekly work scheduling problem using the open-source CP-SAT package.

We discuss Leodanis Pozo Ramos's recent tutorial, "Python's Built-in Functions: A Complete Exploration." These functions are available for use directly in your code without importing.

We also share several other articles and projects from the Python community, including a news roundup, spotting ships with satellites, grappling with Apple's App Store rejecting Python applications, considering changes to Python's security model, discussing pivoting from one development path to another, prettifying Jinja and Django templates, and generating static sites with Python.

This episode is sponsored by Sentry.

Topics:

- 00:00:00 -- Introduction
- 00:02:35 -- Polars 1.0 Released
- 00:03:26 -- Psycopg 3.2 Released
- 00:04:06 -- Django security releases issued: 5.0.7 and 4.2.14
- 00:04:40 -- PyBay 2024 Call for Proposals
- 00:05:16 -- Python's Built-in Functions: A Complete Exploration
- 00:12:10 -- Satellites Spotting Ships
- 00:16:02 -- Sponsor: Sentry
- 00:17:09 -- Python Grapples With Apple App Store Rejections
- 00:20:27 -- Python's Security Model After the `xz-utils` Backdoor
- 00:25:38 -- Video Course Spotlight
- 00:26:56 -- Constraint Programming Using CP-SAT and Python
- 00:31:40 -- Any Web Devs Successfully Pivoted to AI/ML Development?
- 00:43:12 -- aurora: Static Site Generator Implemented in Python
- 00:45:14 -- Running Prettier Against Django or Jinja Templates
- 00:46:58 -- Thanks and goodbye