Skip to main content

SGnet

Comprehensive Python library for spelling and grammar.

Getting Started

spellygrammarc(SGnet) is a comprehensive library for performing spelling and grammar corrections.

Installation

pip install spellygrammarc

Build Status

in process

Code Style

from spellygrammarc import spelly
spelly('What is your domicil city')
>>['what','is','your','domicile','city']

Screenshots

Technology Stack

  • Python 3.5.2
  • Numpy
  • Pandas

Features

Code Example

API Reference

Tests

How to use

Contributing to sgnet

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

A detailed overview on how to contribute can be found in the contributing guide. There is also an overview on GitHub.

If you are simply looking to start working with the sgnet codebase, navigate to the GitHub "issues" tab and start looking through interesting issues. There are a number of issues listed under Docs and good first issue where you could start out.

You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions.

Or maybe through using you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’. You can do something about it!

Feel free to ask questions on the mailing list or on Slack.

Credits

Akshat Gupta

License

BSD-3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sgenet-0.1-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file sgenet-0.1-py3-none-any.whl.

File metadata

  • Download URL: sgenet-0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.2

File hashes

Hashes for sgenet-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3cffd7160035a4b24cea95fd10513d6566719be8b6fd03bfa377ae408e0e78b1
MD5 96e1bfe4eea5441e7e9fae872fbb3cdc
BLAKE2b-256 99184824da99e4af96be900c971d14dbf513b1b3a4c5923c1f3f8416199cc1aa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page