Framework

A framework for Web3 Python applications and smart contracts

Ape Framework Ape is a framework for Web3 Python applications and smart contracts, with advanced functionality for testing, deployment, and on-chain interactions. Dependencies python3 version 3.6 or greater, python3-dev Installation via pip You can install the latest release via pip: pip install eth-ape via setuptools You can clone the repository and use setuptools for the most up-to-date version: git clone https://github.com/ApeWorX/ape.git cd ape python3 setup.py install Quick Usage Ape is primarily meant to be used as a command line tool. […]

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API

Python Client for Algorithmia Algorithms and Data API

Algorithmia Common Library (python) Python client library for accessing the Algorithmia API For API documentation. Algorithm Development Kit This package contains the algorithmia-adk development kit, simply add from Algorithmia import ADK into your workflow to access it. Install from PyPi The official Algorithmia python client is available on PyPi.Install it with pip: pip install algorithmia Install from source Build algorithmia client wheel: python setup.py bdist_wheel Install a wheel manually: pip install –user –upgrade dist/algorithmia-*.whl from directory containing setup.py and the […]

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Natural Language Processing

Simple translators for text files, microphone recordings or terminal input

lingopy Simple translators for text files, microphone recordings or terminal input, converting from and to most known languages. Welcome to lingopy, the quick and easy way to translate text or audio files into a foreign language. If you would like to transform a recording of a speech you gave into a different language or always wanted to translate a whole text file, then this project may help you out! Translator types :u7121: translator.py -> convert texts or messages by just […]

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Tool

A programming language with logic of Python

Pytov The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities. Installation Install using pip install pytov, or via git: git clonehttps://github.com/Yuvix25/Pytov.git. Usage If was installed via pip: $ pytov [path_to_your_pytov_file] If was installed via git: Run using Python: $ cd [folder_of_installation] $ cd pytov $ python pytov.py [path_to_your_pytov_file] Run using pre-built executables: $ cd [folder_of_installation] $ cd exe $ pytov [path_to_your_pytov_file] Syntax # this is a comment // this is […]

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Images

Fill holes in binary 2D & 3D images fast

Fill Voids Fill holes in binary 2D & 3D images fast. # PYTHON import fill_voids img = … # 2d or 3d binary image filled_image = fill_voids.fill(img, in_place=False) # in_place allows editing of original image filled_image, N = fill_voids.fill(img, return_fill_count=True) # returns number of voxels filled in // C++ #include “fill_voids.hpp” size_t sx, sy, sz; sx = sy = sz = 512; uint8_t* labels = …; // 512x512x512 binary image // modifies labels as a side effect, returns number of […]

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Python

Use FastAPI to Build Web APIs

Creating APIs, or application programming interfaces, is an important part of making your software accessible to a broad range of users. In this tutorial, you will learn the main concepts of FastAPI and how to use it to quickly create web APIs that implement best practices by default. By the end of it, you will be able to start creating production-ready web APIs, and you will have the understanding needed to go deeper and learn more for your specific use […]

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Advanced, Libraries, NLP, Project, Python, Structured Data, Text

FuzzyWuzzy Python Library: Interesting Tool for NLP and Text Analytics

This article was published as a part of the Data Science Blogathon Introduction There are many ways to compare text in python. But, often we search for an easy way to compare text. Comparing text is needed for various text analytics and Natural Language Processing purposes. One of the easiest ways of comparing text in python is using the fuzzy-wuzzy library. Here, we get a score out of 100, based on the similarity of the strings. Basically, we are given the similarity […]

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Beginner, Data Science, Libraries, NLP, Python, Text

Text Analysis with Spacy to Master NLP techniques

This article was published as a part of the Data Science Blogathon Natural Language Processing(NLP) is a branch of Artificial Intelligence that deals with Daily Language. Have you ever wonder how Alexa, Siri, Google Assistant understand us with voice and respond to us. Human Language is the fuzziest and complex. As they receive text input first preprocessing of text happens and many techniques are embedded which lets them understand grammar. In this tutorial, we will study some techniques which are helpful […]

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Data Science, Intermediate, NLP, Python, Text, Unstructured Data

Part 7: Step by Step Guide to Master NLP – Word Embedding in Detail

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous articles (part-5 and 6), we completed the different text vectorization and word embeddings techniques in detail. In this article, firstly we will discuss the co-occurrence matrix, which is also a word vectorization technique and after that, we will be discussing new concepts related to the Word embedding that includes, Applications of […]

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Advanced, Algorithm, NLP, Text

Word Sense Disambiguation: Importance in Natural Language Processing

This article was published as a part of the Data Science Blogathon Introduction In human language, often a word is used in more than one way. Understanding the various usage patterns in the language is important for various Natural Language Processing Applications. ( Image: https://www.pexels.com/photo/book-eyeglasses-eyewear-page-261857/ ) In various usage situations, the same word can mean differently. As, a vast majority of the information online, is in English, for the sake of simplicity, let us deal with examples in the English language only. […]

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