Real Python Podcast Episode #149 Title Artwork

Episode 149: Coding With namedtuple & Python's Dynamic Superpowers

The Real Python Podcast

Mar 17, 2023 53m

Have you explored Python’s collections module? Within it, you’ll find a powerful factory function called namedtuple(), which provides multiple enhancements over the standard tuple for writing clearer and cleaner code. This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects.

Episode Sponsor:

Christopher discusses his Real Python video course about writing more Pythonic code using namedtuple(). With namedtuple(), you can create immutable sequence types that allow you to access their values using descriptive field names and dot notation instead of clunky integer indices.

We also discuss metaprogramming and the unique advantages of Python’s dynamism. Christopher shares potential paths for this type of coding from web applications, testing, and AST techniques.

We share several other articles and projects from the Python community, including a news update, the Arrow revolution happening in pandas 2.0, a new PEP for inlined comprehensions, tips and techniques for modern Flask apps, a Python helper tool for building and running a REPL with custom commands, and a project to turn a pandas DataFrame into a Tableau-style UI.

Course Spotlight: Writing Clean, Pythonic Code With namedtuple

In this video course, you’ll learn what Python’s namedtuple is and how to use it in your code. You’ll also learn about the main differences between named tuples and other data structures, such as dictionaries, data classes, and typed named tuples.

Topics:

00:00:00 – Introduction
00:02:17 – Python 3.12.0 alpha 6 released
00:02:40 – Django Developers Survey 2022 Results
00:03:12 – Writing Clean, Pythonic Code With namedtuple
00:07:40 – pandas 2.0 and the Arrow Revolution (Part I)
00:17:21 – Sponsor: RevSys
00:18:10 – PEP 709: Inlined Comprehensions
00:20:51 – 13 Tips and Techniques for Modern Flask Apps
00:25:54 – Video Course Spotlight
00:27:24 – Discussion: Python’s “Disappointing” Superpowers
00:47:54 – replbuilder: Python helper tool for building and running a REPL with custom commands
00:49:58 – pygwalker: Turn pandas Into a Tableau-Style UI
00:52:15 – Thanks and goodbye

News:

Show Links:

Writing Clean, Pythonic Code With namedtuple – In this video course, you’ll learn what Python’s namedtuple is and how to use it in your code. You’ll also learn about the main differences between named tuples and other data structures, such as dictionaries, data classes, and typed named tuples.
pandas 2.0 and the Arrow Revolution (Part I) – This article details the changes in the pandas 2.0 release, with emphasis on the underlying adoption of Apache Arrow.
PEP 709: Inlined Comprehensions – Python Enhancement Proposal 709 covers a change to how comprehensions are handled. Currently, they’re compiled as nested functions. Benchmarking shows that treating list, dict, and set comprehensions as inline code can result in a 2x speedup on the comprehension.
13 Tips and Techniques for Modern Flask Apps – Flask is approaching its 13th birthday, and to celebrate, Phillip has written 13 tips for writing modern Flask apps. It covers dealing with JSON, environment-based configuration, auto-generated docs, and more.

Discussion:

Projects:

Additional Links:

Level Up Your Python Skills With These Courses:

Lists and Tuples in Python

Data Cleaning With pandas and NumPy

Write Pythonic and Clean Code With namedtuple

Writing Clean, Pythonic Code With namedtuple

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