hashily is a Python module that provides a variety of text decoding and encoding operations.

Last update: Jul 17, 2022

Related tags

Overview

hashily 0.0.4.1

hashily is a python module that performs a variety of text decoding and encoding functions. It also various functions for encrypting and decrypting text using various ciphers.

PyPi: https://pypi.org/project/hashily

Docs: Not have been made yet | Coming Soon-

`0` Updates

Removed Colorama

`1` Installation

You may use pip or a similar tool to install latest versions of hashily from the PyPi. To Install the Module -

Install the Stable Version:

pip install hashily

Install the Beta Version:

pip install git+https://github.com/MystYT-21/hashily.git

`2` Usage

To import the Module You can do like this -

>>> import hashily

`2.1` Examples

>> print(hashily.Caesar.decode("Khb, Krz duh brx?")) 'Hey, How are you?' >>> print(hashily.Octal().encode("Good! You?")) '107 157 157 144 41 40 131 157 165 77' >>> print(hashily.Octal.decode("111 40 141 155 40 147 157 157 144 40 164 157 157 40 72 51")) 'I am good too :)'">

>>> import hashily

# Use the .encode() function to Encode the Text
>>> print(hashily.Caesar.encode("Hey"))
'Khb'

# Use the .decode() function to Decode the Text
>>> print(hashily.Caesar.decode("Khb, Krz duh brx?"))
'Hey, How are you?'

>>> print(hashily.Octal().encode("Good! You?")) 
'107 157 157 144 41 40 131 157 165 77'

>>> print(hashily.Octal.decode("111 40 141 155 40 147 157 157 144 40 164 157 157 40 72 51")) 
'I am good too :)'

`3` Available Functions

The following functions are currently available:

ciphers	encoding	transform
ROT13	Binary	reverse
AtBash	Hexadecimal	titlelize
Bacon	Octal	password
A1Z26	Integer	token
Caesar	UrlEncoding	altCase
MorseCode	UnicodePoint	-
-	-	-

`4` Feedback

If you have any feedback, please reach out to us at our Discord

You might also like...

A Python module made to simplify the usage of Text To Speech and Speech Recognition.

Nav Module The solution for voice related stuff in Python Nav is a Python module which simplifies voice related stuff in Python. Just import the Modul

1 Dec 20, 2021

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

37 Sep 5, 2022

Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Import Subtitles for Blender VSE Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module. Supported formats by py

4 Feb 27, 2022

Module for automatic summarization of text documents and HTML pages.

Automatic text summarizer Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains sim

3k Jan 8, 2023

Module for automatic summarization of text documents and HTML pages.

Automatic text summarizer Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains sim

2.5k Feb 17, 2021

Uses Google's gTTS module to easily create robo text readin' on command.

Tool to convert text to speech, creating files for later use. TTRS uses Google's gTTS module to easily create robo text readin' on command.

0 Jun 20, 2021

Python-zhuyin - An open source Python library that provides a unified interface for converting between Chinese pinyin and Zhuyin (bopomofo)

2 Dec 29, 2022

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you

2.3k Dec 29, 2022

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you

2k Feb 9, 2021

Releases(v0.0.6)

v0.0.6(Feb 26, 2022)
Changes (25/2/2022)

Added new function: pigLatin

Changed the Integer class's name to ASCII

Bug Fixes

Source code(tar.gz)
Source code(zip)
v0.0.5(Feb 14, 2022)
Changes (12/2/2022)

Added new functions: Base32 and firstLetter

Bugs Fixes

Improved Code's Functionality.

Removed Unnecessary stuffs

Source code(tar.gz)
Source code(zip)
v0.0.4(Feb 11, 2022)
Changes (11/2/2022)

Fixed Unknown Bugs

Added a new function : altCase

Removed Unnecessary Code

Added Docstrings to Functions

Added new Functionalities to : password, token and etc

Source code(tar.gz)
Source code(zip)
0.0.4.1(Feb 11, 2022)
Changes (11/2/2022)

Removed Colorama as it was causing some import issues (I always mess things up).

Source code(tar.gz)
Source code(zip)

hashily is a Python module that provides a variety of text decoding and encoding operations.

Related tags

Overview

hashily 0.0.4.1

0 Updates

1 Installation

2 Usage

2.1 Examples

3 Available Functions

4 Feedback

You might also like...

A Python module made to simplify the usage of Text To Speech and Speech Recognition.

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Module for automatic summarization of text documents and HTML pages.

Module for automatic summarization of text documents and HTML pages.

Uses Google's gTTS module to easily create robo text readin' on command.

Python-zhuyin - An open source Python library that provides a unified interface for converting between Chinese pinyin and Zhuyin (bopomofo)

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Releases(v0.0.6)

v0.0.6(Feb 26, 2022)

Changes (25/2/2022)

v0.0.5(Feb 14, 2022)

Changes (12/2/2022)

v0.0.4(Feb 11, 2022)

Changes (11/2/2022)

0.0.4.1(Feb 11, 2022)

Changes (11/2/2022)

Owner

DevMysT

Code for the paper PermuteFormer

A simple visual front end to the Maya UE4 RBF plugin delivered with MetaHumans

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

Random Directed Acyclic Graph Generator

Refactored version of FastSpeech2

Phrase-Based & Neural Unsupervised Machine Translation

NLP applications using deep learning.

In this project, we aim to achieve the task of predicting emojis from tweets. We aim to investigate the relationship between words and emojis.

Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

Yes it's true :broken_heart:

NLP made easy

This project converts your human voice input to its text transcript and to an automated voice too.

Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

Natural Language Processing for Adverse Drug Reaction (ADR) Detection

PyTorch implementation of Microsoft's text-to-speech system FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

`0` Updates

`1` Installation

`2` Usage

`2.1` Examples

`3` Available Functions

`4` Feedback