Utility to incrementally learn regular expressions from examples

A python module allowing to learn patterns by issuing queries and learning from counter examples.

A journey through the world with regular expressions. Swift Student Challenge (WWDC20) winner.

A calm, beginner-friendly Python editor that uses regex-based error tracing to guide learners with simple suggestions -built with Pyodide & Monaco.

Regex learner based on samples

A simple C# console application that allows users to test the strength of their passwords, generate strong random passwords, and view password history. Ideal for beginners and learners who want to practice regex, file handling, and console interfaces.

Science Chatbot A Python-based chatbot that answers questions in Physics, Chemistry, Biology, and General Science. It features a user-friendly interface, handles predefined datasets, and allows easy extensibility for new topics. Built using Python 3, with regex for query processing. Ideal for science enthusiasts and learners.

Tool to help practice regex

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A basic Regex Tutorial for new learner

This repository provides a comprehensive tutorial on regular expressions (regex) for beginners. It includes step-by-step guides, practical examples, and exercises to help new learners understand and apply regex in various programming contexts.

SkillSwap is a React-based platform where developers and learners can share and discover bite-sized tips and micro-lessons across various tech stacks like React, Git, Docker, Regex, and more.

Dive into the intricacies of regular expressions in Python with this beginner-friendly guide and code repository. Ideal for learners and practitioners ready to understand how regex patterns for text processing work.

A beginner-friendly repository for the "Introduction to Natural Language Processing" course by Analytics Vidhya. It includes code examples, regex practice, and essential NLP techniques like tokenization, stemming, and text preprocessing — perfect for learners starting their NLP journey.

This notebook provides a comprehensive walkthrough of Natural Language Processing (NLP) fundamentals using Python. It covers key preprocessing steps such as tokenization, stemming, lemmatization, regex operations, and more. Ideal for beginners and intermediate learners, it serves as both a learning resource and a practical reference.

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