Fluent Python Chapter 5: Data Class Builders

A “Data class” is a coding pattern featuring a collection of fields with little or no extra functionality.

This chapter covers three data class builders: collections.namedtuple, typing.NamedTuple and @dataclasses.dataclass

Overview of Data Class Builders #

Consider the following Coordinate class:

class Coordinate:
    def __init__(self, lat, lon):
        self.lat = lat
        self.lon = lon

Notice that if we were to add another attribute, we will need to mention it three times.

Also string representation and comparison between objects do not work the way we expect:

Fluent Python Chapter 4: Unicode Text Versus Bytes

The binary sequence types and codecs

Fluent Python Chapter 3: Dictionaries and Sets

This chapter surveys the various mappings and sets available in the Standard library.

Archive - 2024

An archive of material I went through this year

Learning goals for 2025

Things I want to learn in 2025

Overview of courses enrolled in uni

I took many great courses in uni - here’re some of my favorites

Fluent Python Chapter 2: An Array of Sequences

A survey of the standard library sequence types, mutability and immutability, list comprehension, tuple unpacking, pattern matching, and more

Fluent Python Chapter 1: The Python Data Model

This chapter is an introduction to how data objects are represented in Python. For custom objects, by implementing special ‘dunder’ methods, they can behave just like the built-in types like str and int.