Имитация онлайн- оплаты товара кредитной картой (сборка Webpack).
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Updated
Sep 16, 2022 - JavaScript
Имитация онлайн- оплаты товара кредитной картой (сборка Webpack).
A simple way to validate credit/debit card number using ruby
💳 A simple Python credit card validator
Get credit card type from credit card number
Credit - CS50 - PYTHON
A React Hook & Container to help with payment card input fields.
An unofficial Flutter port of Cardidy, a package to validate or identify card numbers & cvv with ease.
A java library to validate credit card information.
Credit-Card Gen&Checker
This credit card validator was built with Angular, Firebase for hosting, and Bulma for the styling. The form itself has custom masking for the entries, which is not from an existing npm package. Instead, I built it from scratch to help make the customization more manageable in the long run for this application. The validator itself, recognizes t…
JavaScript Functions to validate Credit-Card numbers with Lunh Algorithm.
This repository provides a collection of functions for validating credit card numbers in JavaScript/TypeScript. The functions perform various checks to ensure that a credit card number is valid based on different criteria.
I have built an automatic credit card approval predictor using machine learning techniques, just like the real banks do. This is a guided project under one of the courses that I took online.
Luhn - Intuitive credit card numbers validator
The Luhn Algorithm is widely used for error-checking in various applications, such as verifying credit card numbers.
This repository contains an implementation of credit card fault detection using Luhn's algorithm. Luhn's algorithm is a checksum formula used to validate credit card numbers, as well as other identification numbers. The algorithm is based on performing a set of arithmetic operations on the digits of a given number, resulting in a checksum value.
Creditcard validator by Using Luhn's algorithm to verify the validity of credit card numbers. It also fetches credit card number data from datasets for testing and analysis.
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