Data Parallelism: From Basics to Advanced Distributed Training
Understand data parallelism from basic concepts to advanced distributed training strategies in deep learning. Ideal for beginners and practitioners.
Understand data parallelism from basic concepts to advanced distributed training strategies in deep learning. Ideal for beginners and practitioners.
Learn the tips and tricks to fine-tune large language models affordably using GPU cloud servers, PEFT, quantization, and open-source tools.
Permettre aux utilisateurs de se connecter à votre application est l’une des fonctionnalités les plus courantes que vous ajouterez à votre application web. Cet article explique comment ajouter une authentification à votre application Flask avec le paquet Flask-Login.
Luigi is a Python package that manages long-running _batch processing_, which is the automated running of data processing jobs on batches of items. Luigi allows you to define a data processing job as a set of dependent tasks. In this tutorial you will build a data processing pipeline to analyze the most common words from the most popular books on Project Gutenburg. You will build a pipeline using Luigi. You will use Luigi tasks, targets, dependencies, and parameters to build your pipeline.
O autor selecionou a Tech Education Fund para receber uma doação como parte do programa Write for DOnations. O Slack é uma plataforma de comunicação projetada para a…
このPython 3のチュートリアルでは、数値、文字列、タプル、リストなどのデータ型の変換方法について説明し、さまざまなユースケースを理解するための例も紹介します。
GraphQL is an API standard created and open-sourced by Facebook as an alternative to REST APIs. It exposes a single endpoint for all communication instead of multiple URLs for different resources and solves the overfetching issue by returning only the data asked for by the client. In this tutorial you will create a backend for a URL shortener with Python 3, the Django web framework, and the Graphene-Django implementation, while diving into GraphQL concepts like queries and mutations.
Learn to deploy Falcon, the fast Python web framework, behind Gunicorn and Nginx.
Learn how to get file size in Python with os and pathlib. This guide covers error handling, human-readable formats, and best practices for writing robust, production-ready code.
O tipo de dados string do Python é uma sequência composta por um ou mais caracteres individuais, que consistem em letras, números, caracteres de espaço em branco ou símbolos. As strings são sequências e podem ser acessadas das mesmas maneiras que outros tipos de dados baseados em sequências, através da indexação e divisão. Este tutorial ensinará como acessar strings através da indexação e como dividir suas sequências de caracteres; ele também abordará métodos de contagem e localização de caracte