#dataclass

[scopethings-blog]

Scope Computers

Scope Computers

📊 Master the Future with Data Science: Your Path to Innovation Starts Here! 🚀

[marsdevs]

A Technical Guide to Python DataClasses

As the name suggests, these are classes that act as data containers. But what exactly are they? In this blog, MarsDevs presents you with the introduction and technicalities of Python DataClasses. You can now define the classes with less code and more out-of-the-box functionality. MarsDevs illustrates how.

Click here to read more: https://www.marsdevs.com/blogs/a-technical-guide-to-python-data-classes

[lockersnap]

Today was figuring out how to do an n long modular list. Next is figuring out the formula for damage calculation and resist refactoring the 17 skills into a dataclass and a for loop.

[fraoula1]

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𝐓𝐨𝐩 5 𝐏𝐲𝐭𝐡𝐨𝐧 𝐒𝐤𝐢𝐥𝐥𝐬 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐢𝐧 2025 | 𝐁𝐨𝐨𝐬𝐭 𝐘𝐨𝐮𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 Ready to take your Python skills to the next level in 2025? In this video, we break down the Top 5 Python Skills you need to master for better performance, scalability, and flexibility in your coding projects. Top 5 Python Skills: Object-Oriented Programming (OOP) – Learn about classes, objects, inheritance, polymorphism, and encapsulation. Python Memory Management & Performance Optimization – Master garbage collection, memory profiling, and optimize code performance with generators and multiprocessing. Asynchronous Programming – Handle concurrent tasks efficiently using asyncio, threading, and multiprocessing. Exception Handling & Debugging – Learn to write robust code with try-except blocks and debug using tools like pdb and PyCharm. Advanced Python Typing & Decorators – Use type hints, dataclasses, and decorators to write cleaner and more maintainable code.

By mastering these skills, you'll be well on your way to becoming a Python expert! Don’t forget to like, comment, and subscribe for more programming tips and tutorials. Watch complete video https://lnkd.in/gF6nwnKf

[ecdown]

Python: Dealing with unknown fields in dataclass

I have been using dataclasses in my python data retrieval scripts but on the occasions when a field is added to the API return I needed a way to make the scripts continue to run. The added benefit of notifying the script user about any unknown fields helps too. The following code with a Warning message to show any fields that are not predefined in the dataclass. from dataclasses import…

[nandithamn]

What are the benefits of python dataclasses

 Introduction

If you just started or already coded using Python and like Object Oriented Programming but aren't familiar with the dataclasses module, you came to the right place! Data classes are used mainly to model data in Python. It decorates regular Python classes and has no restrictions, which means it can behave like a typical class. Special methods build-in implementation. In the world of Python programming, data manipulation and management play a crucial role in many applications. Whether you’re working with API responses, modeling entities, or simply organizing your data, having a clean and efficient way to handle data is essential. This is where Python data classes come into the picture

What Are Python Dataclasses?

Python dataclasses are classes from the standard library to be added to the code for specific functionality. These can be used for making changes to user-defined classes using the dataclass decorator. we don't have to implement special methods ourselves, which helps us avoid boilerplate code, like the init method (_init_ ), string representation method (_repr_ ), methods that are used for ordering objects (e.g. lt, le, gt, and ge), these compare the class as if it were a tuple of its fields, in order.The advantage of using Python dataclasses is that the special methods can be automatically added, leaving more time for focusing on the class functions instead of the class itself.Python, a data class is a class that is primarily used to store data, and it is designed to be simple and straightforward. Data classes are introduced in Python 3.7 and later versions through the data class decorator in the data classes module.The purpose of a Python data class is to reduce boilerplate code that is typically associated with defining classes whose main purpose is to store data attributes. With data classes, you can define the class and its attributes in a more concise and readable manner.

Python's datetime module provides classes for working with dates and times. The main classes include:

There Are Two Types

First Type

Date: Represents a date (year, month, day).

Time: Represents a time (hour, minute, second, microsecond).

Datetime: Represents both date and time.

Timedelta: Represents a duration, the difference between two dates or times.

Tzinfo: Base abstract class for time zone information objects.

Second Type

Datetime: Represents a specific point in time, including both date and time information.

Date: Represents a date (year, month, day) without time information.

Time: Represents a time (hour, minute, second, microsecond) without date information.

Timedelta: Represents the difference between two datetime objects or a duration of time.

 

 

How Are Python Dataclasses Effective?

Python dataclasses provide a convenient way to create classes that primarily store data. They are effective for several reasons:Now that you know the basic concept of Python dataclasses decorator, we’ll explore in more detail why you must consider using it for your code. First, using dataclasses will reduce the number of writing special methods. It will help save time and enhance your productivity.

Reduced Boilerplate Code

Easy Declaration

Immutable by Default

Integration with Typing

Customization

Interoperability

Use Less Code to Define Class

Easy Conversion to a Tuple

Eliminates the Need to Write Comparison Methods

Overall, Python dataclasses offer a convenient and effective way to define simple, data-centric classes with minimal effort, making them a valuable tool for many Python developers.

[chqnnn]

Python DataClasses

Howdy Gang!!

Have you ever wanted to create a class in Python that has no methods associated with it? At first it might perplex you why someone might want that in the first place, and I had to think about it for a while myself before I thought of some use cases that could be useful. For example:

you have a list of information that you also need to store some metadata surrounding that list. For example, a list that stores values between a min and max range.

you have a CSV file you need to work with, and you want to create an object where each primitive in the object represents a column of the CSV

There are tons of other applications of this object type, but these are the ones I could think of off the top of my head.

How you might write a data class using traditional python classes is something like this:

We had to specify an initializer and also a __repr__ method so when we print the object to the terminal it does not just give back a memory address. With a dataclass, we could shorten this class declaration to only a few lines of code:

As you can see, this is a lot simpler syntactically and it has all the same functionality and even some extra features! For example, the __repr__ function is implemented implicitly so it will print the data members of the class to the terminal in an easy to read manner, and functions like __eq__ are also implicitly declared to allow you to compare dataclasses of the same type against each other with no additional code.

I really like structs from C/C++ and data classes from Java, so I am happy to see that python is gaining its own dataclass paradigm. Another advantage to dataclasses is a developer who is familiar with dataclasses will immediately know the functionality of your class; there is no need to think about if the equality operator will work because dataclasses implement those by design.

[maplecinnamonbun]

yeah fp is the way to go here. let's make it a little more rigorous (sticking with Python for the fun of it):

from dataclasses import dataclass from functools import reduce from typing import Callable, TypeVar

#type variable support for Python <3.12 A = TypeVar("") B = TypeVar("")

@dataclass class Nat: """Inductive type for natural numbers.""" pass

@dataclass class Zero(Nat): """Zero constructor for Nat.""" pass

@dataclass class Succ(Nat): """Successor constructor for Nat.""" pred: Nat

def to_nat(i: int) -> Nat: """Surjection into Nat. Non-natural numbers saturate at Zero.""" return reduce(lambda n, _: Succ(n), range(i), Zero())

def fold_nat(z: B, s: Callable[[A], B], n: Nat) -> B: """Fold for Nat.""" match n: case Zero(): return z case Succ(p): return s(fold_nat(z, s, p))

def from_nat(n: Nat) -> int: """Injection into int.""" return fold_nat(0, lambda i: i + 1, n)

def add_nat(a: Nat, b: Nat) -> Nat: """Addition on Nat, defined via fold.""" return fold_nat(a, Succ, b)

@dataclass class Int: """Integers defined as pairs of Nats with an equivalence relation. Int(a, b) ~ Int(c, d) if and only if a + d == b + c.""" pos: Nat neg: Nat

def to_int(i: int) -> Int: """Bijection into Int.""" return Int(to_nat(i), to_nat(-i))

def from_int(i: Int) -> int: """Bijection into int.""" return from_nat(i.pos) - from_nat(i.neg)

def equivalence(i: Int) -> Int: """Constructs the canonical representation for the equivalence class of an Int, of either form Int(Zero(), ...) or Int(..., Zero()).""" match i: case Int(Succ(p1), Succ(p2)): return equivalence(Int(p1, p2)) case _: return i

def add_int(a: Int, b: Int) -> Int: """Addition on Int, defined via Nat addition.""" return equivalence(Int(add_nat(a.pos, b.pos), add_nat(a.neg, b.neg)))

def addition(a: int, b: int) -> int: """Addition on the builtin int performed on the structural Int type.""" return from_int(add_int(to_int(a), to_int(b)))

if you want floating-point support, it's trivially easy to extend this framework to include a Ratio type that is a pair of Ints with an equivalence relation 'Ratio(a, b) ~ Ratio(c, d)' iff 'a*d == b*c'

Just did a very easy normal Addition Function hah (⌐■_■)

Please some improvement ideas ;)

[techhelpnotes]

Class inheritance in Python 3.7 dataclasses

The way dataclasses combines attributes prevents you from being able to use attributes with defaults in a base class and then use attributes without a default (positional attributes) in a subclass.

Thats because the attributes are combined by starting from the bottom of the MRO, and building up an ordered list of the attributes in first-seen order; overrides are kept in their original location. So Parent starts out with [name, age, ugly], where ugly has a default, and then Child adds [school] to the end of that list (with ugly already in the list). This means you end up with [name, age, ugly, school] and because school doesnt have a default, this results in an invalid argument listing for __init__.

[necromancercoding]

Hola necro quería consultar, cómo podría hacer para que mis su foros fueran distintos dentro de una misma categoría. Hacer que uno sea más alto y los otros queden a un lado de este. Algo así como los de paracosm. Leí tu tutorial de su foros diferentes pero no sabria como poner específico para modificar el body del row... Dónde le pongo el nombre para que funcione el js? Sería un js de "cosa" diferente para cada aspecto del subforo?

¡Hola anon! Puedes hacer el mismo truco con las categorías, lo que te puede ayudar para modificar el body del row (y sin necesidad de poner clases a los subforos, los propios subforos).

Supongamos que vas a llamar tu categoría main-cat. Vamos a añadir un dfn al título de la categoría (pegado al texto de tu categoría, no afectará visiblemente a tu diseño):

<dfn data-class="main-cat"></dfn>

Tip: puedes usar otro elemento en lugar de dfn como <b> o <i> si quieres ahorrar algunos caracteres. Yo uso dfn porque no interfiere con ningún styling que puedas tener en el header de tus categorías/foros.

Vamos ahora a enganchar ese valor de data-class como clase de nuestra categoría (en el ejemplo, .forabg).

$(function(){ $('.forabg .header dfn').each(function(){ var dataClass = $(this).attr('data-class'); $(this).parents('.forabg').addClass('dataClass'); }); });

Con esto, tu .forabg ahora se llamará .forabg.main-cat, y puedes hacer esto con todas tus categorías; simplemente ponle un dfn con otro valor de data-class, y esa será tu clase nueva. Para estilar sus subforos, si tienes un número concreto de subforos, puedes usar el nth-child/nth-of-type, lo que te permitirá colocarlos como quieras usando grid o flexbox sin necesidad de darles clases individuales.

¡Saludos!

[mentalisttraceur-software]

Python: Recursive repr Ambiguity

The normal idiom for handling recursion in `__repr__` is to represent the nested object with something like "<...>". This becomes inherently ambiguous for non-trivial data structures because it doesn't reveal which object was repeated:

from dataclass import dataclass

from typing import Any

 

@dataclass

class C:

    thing: Any

 

a = C(None)

b = C(a)

a.thing = b

print(repr(b)) # C(thing=C(thing=<...>))

a.thing = a

print(repr(b)) # C(thing=C(thing=<...>))

In the first repr, "<...>" is `b`; in the second repr, "<...>" is `a`. We can mostly ignore this because it is not enough of a problem - after all, accidental recursion that both breaks code and takes a lot of time or effort to find is rare. But it's good to notice that this isn't nearly as helpful as it could be.

[as-if-and-only-if]

oh thank god I was missing something! just use

from dataclasses import dataclass

@dataclass

class Foo:

…

and you’re good :)

the fact that Python makes you type

def __init__(self, arg1, arg2, …):

self.arg1 = arg1

self.arg2 = arg2

…

just to have a sensible constructor is…kind of crazy, right? am I missing something? please tell me I’m missing something… :(

[marsdevs]

Short Guide to Python Dataclasses- 2

What are dataclasses? While we can take a step back to read our guide. But what next? Well, why should you use the python dataclass? Simply the reason is to increase the code's efficiency and decrease the boilerplate code c. In this blog, MarsDevs illustrates the reason why you should use Python Dataclasses.

Click here to know more: https://www.marsdevs.com/blogs/short-guide-to-python-dataclasses-2

[hackernewsrobot]

Getting to Know Python 3.7- Data Classes, Async-Await and More

https://blog.heroku.com/python37-dataclasses-async-await Comments

[improveyourcodingskills]

Effortlessly Create Classes in Python with @dataclass | by Jacob Ferus | Jan, 2023 | ITNEXT