Episode 305: Should You Understand Your Entire Python Codebase?

The Real Python Podcast

Jul 31, 2026 57m intermediate best-practices community django stdlib

Should you understand the entirety of your codebase? How familiar are you with Python’s built-in functions? Christopher Trudeau is back on the show this week with another batch of PyCoder’s Weekly articles and projects.

Episode Sponsor:

We discuss a recent article by Sean Goedecke titled “In Defense of Not Understanding Your Codebase.” We dig into the differences in the scale of software projects and the factors that can obscure understanding of an entire codebase. We cover how opinions and practices people often argue for are based on the development practices from decades ago.

Christopher shares his recent video course that explores Python’s built-in functions. The course is divided into sections to help you find the right built-in for tasks involving math, data types, iterables, and I/O. We discuss which of these functions are frequently used in our code.

We also share other articles and projects from the Python community, including recent releases, querying with f-expressions in Django, replacing if-else chains, a Rust-based replacement for Python’s json module, and a couple of Python cheat sheet resources.

This episode is sponsored by HydraDB.

Course Spotlight: Exploring Python’s Built-in Functions

Learn Python’s built-in functions for math, data types, iterables, and I/O, and when to use each to write more Pythonic code.

Topics:

00:00:00 – Introduction
00:02:29 – Christopher’s Python News Song
00:03:18 – Python 3.15.0 Beta 4 Released
00:03:39 – PEP 838: Adding python-version to pyvenv.cfg
00:04:59 – PEP 840: Name Resolution in Class Namespaces
00:06:42 – Stop Using if-else Chains
00:13:46 – Sponsor: HydraDB
00:14:44 – Nifty Django Feature: F Expressions
00:20:23 – In Defense of Not Understanding Your Codebase
00:34:13 – Exploring Python’s Built-in Functions
00:45:26 – Video Course Spotlight
00:46:57 – Python strftime/strptime Directive Cheat Sheet
00:50:22 – Itertools Cheatsheet
00:52:59 – Introducing django-orjson
00:55:33 – Thanks and goodbye

News:

Show Links:

Stop Using if-else Chains – Learn a cleaner, more extensible way to dispatch logic in Python using dictionaries and function pointers instead of long if-else chains.
Nifty Django Feature: F Expressions – Django’s F-Expression provides a way of querying fields from the ORM. They’re particularly handy to traverse relationships in more complex queries.
F() Expressions - Django Documentation
In Defense of Not Understanding Your Codebase – In this opinion piece, Sean argues that there is a difference in the thought process between maintaining smaller software projects vs larger ones, and that the former is over represented in engineering discussion in the internet.
Exploring Python’s Built-in Functions – Learn Python’s built-in functions for math, data types, iterables, and I/O, and when to use each to write more Pythonic code.

Projects:

Python strftime/strptime Directive Cheat Sheet
Itertools Cheatsheet – Cheatsheet with visual diagrams that explain how the iterables from itertools work.
Introducing django-orjson – orjson is a Rust-based replacement for Python’s json module. So what would Adam Johnson do with it? Make it easier to use in Django of course.
orjson: Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
django-orjson documentation

Additional Links:

Level Up Your Python Skills With These Courses:

Using Python datetime to Work With Dates and Times

Using Python's datetime Module

Python Basics: Conditional Logic & Control Flow

Python Basics: Conditional Logic and Control Flow

Python's Built-in Functions: A Complete Exploration

Exploring Python's Built-in Functions

← Previous All Episodes