Showing 5 open source projects for "readability"

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  • 1
    The Algorithms Python

    The Algorithms Python

    All Algorithms implemented in Python

    ...It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting, graph theory, and more. With contributions from a large global community, it continually grows and improves through collaboration and peer review. This repository is an ideal reference for students, educators, and developers seeking hands-on experience with algorithmic concepts in Python.
    Downloads: 1 This Week
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  • 2
    Yangshun Lago

    Yangshun Lago

    Data Structures and Algorithms library in TypeScript and JavaScript

    Lago is a study-oriented library of classic data structures and algorithms implemented in JavaScript with an emphasis on readability and learning. Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking or coming from non-CS backgrounds. ...
    Downloads: 0 This Week
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  • 3
    op4j is a developer happiness tool. Its aim is to reduce the amount of similar lines of code needed to do every day tasks in our code by providing an operator chaining tool to perform easy iterations on lists, OGNL evaluation, data type conversion...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Fast cython implementation of trie data structure for Python. Development is inactive, but moved to: http://github.com/martinkozak/cytrie.
    Downloads: 0 This Week
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  • 5
    A fast way to rate the reading challenging level of book or text. Unlike well known reading metrics such as Fog, Kincaid, SMOG, ARI, Flesch, and Coleman-Liau readability this metric takes into account far more factors and is standarized against a corpus
    Downloads: 0 This Week
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