Libraries tagged by quote

This extension allows your Magento store to split the order into an order for each item in the cart.

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VS7 Promo Mass Actions for Magento2 for Sales Promo Quote admin grid.

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Consumes Sendy's API and provides a usable class with method processRequest() allowing easy requesting quote as well as completing request.

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Unofficial PHP SDK for the Shiplogic REST API — the shipping platform behind The Courier Guy and other South African carrier brands. Covers rate quotes, shipments, label PDFs, cancellation, tracking and webhook payloads.

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Official PHP SDK for the Orboto Mail Service. Drop-in transactional-mail client with auto-quota-tracking, retry-with-backoff, quota lifecycle events, typed DTOs, and a Laravel Service-Provider out of the box. EU-hosted, GDPR-compliant.

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This is a legacy non-OO package and should not be used in recent developments. A simple package that provides functions to get the parameters from the request in a consistent way. The varaiables can be rerieved in a way that is independent of the php.ini configuration file. Especially, it can cancel the effect of the dreadful 'magic_quotes' parameter.

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Quotes of wisdom from the failure coach

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PHP SDK & parser for Freedom24 (TraderNet) Broker API — reports, securities, quotes, orders and history

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Nynaeve, the Imagewize.com production theme: Sage 11 (Roots.io stack) with Laravel Blade templating, Tailwind CSS 4, Vite, and 35 custom WordPress blocks, plus quote-based WooCommerce integration

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Alternative inspiring quotes for Laravel

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Updates the Magento quote if it has a invalid state

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AWK and Bash code to easily parse CSV files, with possibly embedded commas and quotes.

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Ridge — a long thread shows its own high ground. The posts people quoted, reacted to and marked, drawn as shading behind the scrubber.

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Pulsedeck service monitor plugin for AI provider subscription quota usage.

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