Table of Contents
Parse正式发布开源PHP SDK,parsesdk
中国最好的PHP开源商城程序?
PHP开源论坛,主流的都有什?
Home php教程 php手册 Parse正式发布开源PHP SDK,parsesdk

Parse正式发布开源PHP SDK,parsesdk

Jun 13, 2016 am 09:27 AM
parse sdk Open source

Parse正式发布开源PHP SDK,parsesdk

Pare 发布 了 Parse PHP SDK ,旨在使Parse能够集成“到一类新的应用程序和不同的使用场景。”另外,该公司声称,这是他们的“第一个面向服务器端语言的SDK,而且是第一个真正开源的SDK。”

到目前为止,Parse提供了若干API库,旨在使前端可以更容易地集成Parse,其中包括对Objective-C、Java、.NET和JavaScript的支持。另外,Parse通过REST在本地公开接口。这些库涵盖了Parse的主要使用场景,这使得开发人员不用“ 为其应用程序需要访问的每个服务重新开发他们自己的后端 ”,比如,需要 管理服务器及编写服务器端代码 。

另一方面,Parse还基于他们自己的JavaScript SDK提供了一个 Cloud Code环境 ,用于服务器端需要一些逻辑的场景。比如,Parse Cloud Code带来的好处之一是, 更新对所有的环境都立即可用,而不需要等到新的应用程序发布,如此一来,功能就可以动态地修改。随着Parse PHP SDK的推出,使用PHP现在也可以获得同样的好处。

Parse PHP SDK与其它Parse SDK结构类似,它围绕ParseObject构建,后者包含无模式且兼容JSON的数据的键值对。PFObject能够被保存、检索、更新和删除。查询通过PFQuery建模,它既允许基本查询,又允许关系查询。另外,Parse还支持 基于角色的访问控制 ,这提供了一种逻辑方法,将对Parse数据有相同访问权限的用户分组。

Niraj Shah是英国伦敦的一名PHP开发人员,他已经创建了一个 Parse PHP SDK简易入门教程 。该教程旨在将事情简单化,Niraj说,Parse PHP SDK的“文档组织不是很好,为了找出完整的解决方案,你可能不得不在文档之间跳来跳去。”

附上 Parse开源php sdk下载地址: http://www.bkjia.com/codes/203051.html

中国最好的PHP开源商城程序?

国内
ECSHOP
ECMall
Destoon
MvMmall
————————
国外
MAGENTO
OSCOMMERCE
OSCMAX
ZEN CART
CUBE CART
AGORA CART
 

PHP开源论坛,主流的都有什?

discuz,织梦,joomla
 

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Two Point Museum: All Exhibits And Where To Find Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

15 recommended open source free image annotation tools 15 recommended open source free image annotation tools Mar 28, 2024 pm 01:21 PM

Image annotation is the process of associating labels or descriptive information with images to give deeper meaning and explanation to the image content. This process is critical to machine learning, which helps train vision models to more accurately identify individual elements in images. By adding annotations to images, the computer can understand the semantics and context behind the images, thereby improving the ability to understand and analyze the image content. Image annotation has a wide range of applications, covering many fields, such as computer vision, natural language processing, and graph vision models. It has a wide range of applications, such as assisting vehicles in identifying obstacles on the road, and helping in the detection and diagnosis of diseases through medical image recognition. . This article mainly recommends some better open source and free image annotation tools. 1.Makesens

Ten recommended open source free text annotation tools Ten recommended open source free text annotation tools Mar 26, 2024 pm 08:20 PM

Text annotation is the work of corresponding labels or tags to specific content in text. Its main purpose is to provide additional information to the text for deeper analysis and processing, especially in the field of artificial intelligence. Text annotation is crucial for supervised machine learning tasks in artificial intelligence applications. It is used to train AI models to help more accurately understand natural language text information and improve the performance of tasks such as text classification, sentiment analysis, and language translation. Through text annotation, we can teach AI models to recognize entities in text, understand context, and make accurate predictions when new similar data appears. This article mainly recommends some better open source text annotation tools. 1.LabelStudiohttps://github.com/Hu

The source code of 25 AI agents is now public, inspired by Stanford's 'Virtual Town' and 'Westworld' The source code of 25 AI agents is now public, inspired by Stanford's 'Virtual Town' and 'Westworld' Aug 11, 2023 pm 06:49 PM

Audiences familiar with "Westworld" know that this show is set in a huge high-tech adult theme park in the future world. The robots have similar behavioral capabilities to humans, and can remember what they see and hear, and repeat the core storyline. Every day, these robots will be reset and returned to their initial state. After the release of the Stanford paper "Generative Agents: Interactive Simulacra of Human Behavior", this scenario is no longer limited to movies and TV series. AI has successfully reproduced this scene in Smallville's "Virtual Town" 》Overview map paper address: https://arxiv.org/pdf/2304.03442v1.pdf

Recommended: Excellent JS open source face detection and recognition project Recommended: Excellent JS open source face detection and recognition project Apr 03, 2024 am 11:55 AM

Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Implementing face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. Advantages include reducing network interaction and real-time recognition, which greatly shortens user waiting time and improves user experience; disadvantages include: being limited by model size, the accuracy is also limited. How to use js to implement face detection on the web? In order to implement face recognition on the Web, you need to be familiar with related programming languages ​​and technologies, such as JavaScript, HTML, CSS, WebRTC, etc. At the same time, you also need to master relevant computer vision and artificial intelligence technologies. It is worth noting that due to the design of the Web side

Alibaba 7B multi-modal document understanding large model wins new SOTA Alibaba 7B multi-modal document understanding large model wins new SOTA Apr 02, 2024 am 11:31 AM

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.

Just released! An open source model for generating anime-style images with one click Just released! An open source model for generating anime-style images with one click Apr 08, 2024 pm 06:01 PM

Let me introduce to you the latest AIGC open source project-AnimagineXL3.1. This project is the latest iteration of the anime-themed text-to-image model, aiming to provide users with a more optimized and powerful anime image generation experience. In AnimagineXL3.1, the development team focused on optimizing several key aspects to ensure that the model reaches new heights in performance and functionality. First, they expanded the training data to include not only game character data from previous versions, but also data from many other well-known anime series into the training set. This move enriches the model's knowledge base, allowing it to more fully understand various anime styles and characters. AnimagineXL3.1 introduces a new set of special tags and aesthetics

Single card running Llama 70B is faster than dual card, Microsoft forced FP6 into A100 | Open source Single card running Llama 70B is faster than dual card, Microsoft forced FP6 into A100 | Open source Apr 29, 2024 pm 04:55 PM

FP8 and lower floating point quantification precision are no longer the "patent" of H100! Lao Huang wanted everyone to use INT8/INT4, and the Microsoft DeepSpeed ​​team started running FP6 on A100 without official support from NVIDIA. Test results show that the new method TC-FPx's FP6 quantization on A100 is close to or occasionally faster than INT4, and has higher accuracy than the latter. On top of this, there is also end-to-end large model support, which has been open sourced and integrated into deep learning inference frameworks such as DeepSpeed. This result also has an immediate effect on accelerating large models - under this framework, using a single card to run Llama, the throughput is 2.65 times higher than that of dual cards. one

1.3ms takes 1.3ms! Tsinghua's latest open source mobile neural network architecture RepViT 1.3ms takes 1.3ms! Tsinghua's latest open source mobile neural network architecture RepViT Mar 11, 2024 pm 12:07 PM

Paper address: https://arxiv.org/abs/2307.09283 Code address: https://github.com/THU-MIG/RepViTRepViT performs well in the mobile ViT architecture and shows significant advantages. Next, we explore the contributions of this study. It is mentioned in the article that lightweight ViTs generally perform better than lightweight CNNs on visual tasks, mainly due to their multi-head self-attention module (MSHA) that allows the model to learn global representations. However, the architectural differences between lightweight ViTs and lightweight CNNs have not been fully studied. In this study, the authors integrated lightweight ViTs into the effective

See all articles