Is it possible on Python?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  • Levenshtein

    The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

  • Yeah my hunch is that a combination of nltk, python-Levenshtein, numpy for language processing, pandas for gathering results and scrapy for web scraping should make it possible. Sadly such a project probably requires at least a month or two worth of training in Python to prototype. Good luck OP.

  • NLTK

    NLTK Source

  • Yeah my hunch is that a combination of nltk, python-Levenshtein, numpy for language processing, pandas for gathering results and scrapy for web scraping should make it possible. Sadly such a project probably requires at least a month or two worth of training in Python to prototype. Good luck OP.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Scrapy

    Scrapy, a fast high-level web crawling & scraping framework for Python.

  • Yeah my hunch is that a combination of nltk, python-Levenshtein, numpy for language processing, pandas for gathering results and scrapy for web scraping should make it possible. Sadly such a project probably requires at least a month or two worth of training in Python to prototype. Good luck OP.

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • Yeah my hunch is that a combination of nltk, python-Levenshtein, numpy for language processing, pandas for gathering results and scrapy for web scraping should make it possible. Sadly such a project probably requires at least a month or two worth of training in Python to prototype. Good luck OP.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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