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     01.10.2024       Статьи

Polars Plugins: let's make them easier to use

Increasing ease-of-use of Polars plugins by improving an existing tutorial.

     27.09.2024       Выпуск 563 (23.09.2024 - 29.09.2024)       Статьи
     26.09.2024       Выпуск 563 (23.09.2024 - 29.09.2024)       Статьи
     19.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи
     19.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи
     19.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи
     18.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи

Requests vs. HTTPX vs. AIOHTTP

Learn about the differences between Requests, HTTPX, and AIOHTTP, and when to use each library for your Python projects.

     18.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи

PythonistR: A Match Made in Data Heaven

In data science you’ll sometimes hear a debate between R and Python. Cosima says ‘why not choose both?’ She outlines a data pipeline that uses the best tool for each job.

     17.09.2024       Выпуск 562 (16.09.2024 - 22.09.2024)       Статьи
     14.09.2024       Выпуск 561 (09.09.2024 - 15.09.2024)       Статьи
     11.09.2024       Выпуск 561 (09.09.2024 - 15.09.2024)       Статьи
     10.09.2024       Выпуск 561 (09.09.2024 - 15.09.2024)       Статьи
     09.09.2024       Выпуск 561 (09.09.2024 - 15.09.2024)       Статьи

Django: hoist repeated decorator definitions

Django provides us with a rich set of view decorators. In this post, we’ll look at a technique for hoisting repeated use of these decorators to reduce repetition. Repeated @cache_control calls Here are two public views with the same @cache_control decorator: from django.views.decorators.cache import cache_control @cache_control(max_age=60 * 60, public=True) def about(request): ... @cache_control(max_age=60 * 60, public=True) def contact_us(request): ... To avoid this repetition, we can call cache_control once at the top of the module and use that result as the decorator: from django.views.decorators.cache import cache_control cache_public = cache_control(max_age=60 * 60, public=True) @cache_public def about(request): ... @cache_public def team(request): ... This works because cache_control is technically not a decorator but a function that returns a decorator. So we can separate the call of cache_control from the decorating. Aside from reducing redundant repetition, this technique also saves a tiny bit of time and memory when importing the module, because cache_control is only called once. Repeated @require_http_methods calls Here’s another example, instead using @require_http_methods: from django.views.decorators.http import require_http_methods require_GET_POST = require_http_methods(("GET", "POST")) @require_GET_POST def contact_us(request): ... @require_GET_POST def store_feedback(request): ... (Actually, it would be neat if Django provided require_GET_POST out of the box…) Hoisting @method_decorator calls for class-based views This technique is particularly beneficial for class-based views, where view decorators mostly need extra wrapping with method_decorator: from django.utils.decorators import method_decorator from django.views.decorators.cache import cache_control from django.views.generic import TemplateView cache_public = method_decorator(cache_control(max_age=60 * 60, public=True)) @cache_public class AboutView(TemplateView): ... @cache_public class TeamView(TemplateView): ... I also like to use this technique with decorators that don’t take arguments, such as the new @login_not_required from Django 5.1: from django.contrib.auth.decorators import login_not_required from django.utils.decorators import method_decorator from django.views.generic import TemplateView login_not_required_m = method_decorator(login_not_required, name="dispatch") @login_not_required_m class AboutView(TemplateView): ... @login_not_required_m class TeamView(TemplateView): ... I like adding an “m” suffix to the variable name to indicate that it’s a method decorator version of the original. Test decorators This deduplication technique can also dramatically improve test readability, where many tests often need the same decorator applied. For example, third-party apps may mark version-restricted tests with unittest’s @skipIf or pytest’s @pytest.mark.skipif: from unittest import skipIf import django django_5_1_plus = skipIf(django.VERSION < (5, 1), "Django 5.1+ required") class AcmeAuthMiddlewareTests(TestCase): ... @django_5_1_plus def test_view_login_not_required(self): ... @django_5_1_plus def test_view_login_required(self): ... Fin May your decorators be DRYer than the Kalahari, —Adam

     06.09.2024       Выпуск 560 (02.09.2024 - 08.09.2024)       Статьи
     06.09.2024       Выпуск 560 (02.09.2024 - 08.09.2024)       Статьи
     06.09.2024       Выпуск 560 (02.09.2024 - 08.09.2024)       Статьи