Showing 11 open source projects for "programming without coding"

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  • 1
    interactive-coding-challenges

    interactive-coding-challenges

    120+ interactive Python coding interview challenges

    Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference...
    Downloads: 1 This Week
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  • 2
    Code Catalog in Python

    Code Catalog in Python

    Algorithms and data structures for review for coding interview

    code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. It favors clarity over micro-optimizations so learners can grasp the idea before worrying about...
    Downloads: 0 This Week
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  • 3
    Jenetics: Java Genetic Algorithm Library
    The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast...
    Downloads: 1 This Week
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  • 4
    Programming Accessory Kit

    Programming Accessory Kit

    PAK is a collection of library code to handle the overhead of coding

    PAK is a collection of library code to handle the overhead of coding things like read-write locks, reflective multithreaded programming and simple file io. This is a java library collection, please see my API below...
    Downloads: 0 This Week
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  • 5
    Data Structure & Algorithm Library(DSAL)
    The Data Structure & Algorithm Library (DSAL) is a library of classical data structure and algorithm.
    Downloads: 0 This Week
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  • 6
    This is a series of *.java Classes for making programming tasks simpler, much like Apache Commons. Included in this src package is an Advanced Randomizer, TStringList Clone From Delphi, an Algorithem Class, and Method MultiTask Better than Runnables.
    Downloads: 0 This Week
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  • 7
    JavaStates is a Java library designed to statically describe and animate the states of Java objects, while ensuring that the integrity of states is retained at all times. JavaStates brings OO Programming style to interface spec, design and coding.
    Downloads: 1 This Week
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  • 8
    Java classes that enable definition of new Charsets based on other existing Charsets, without additional programming. Includes a character set with Kamenik encoding.
    Downloads: 1 This Week
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  • 9
    Raiden block cipher: An extremely lightweight and fast block cipher, developed using genetic programming, with the intention to be an alternative to TEA. This cipher is as fast as TEA, and without many of its known weaknesses.
    Downloads: 0 This Week
    Last Update:
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

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  • 10
    Alternative approach to minimum redundancy coding (fixed-length) without using tree data structures. The main advantages are simplicity and flexibility.
    Downloads: 0 This Week
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  • 11
    OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.
    Downloads: 1 This Week
    Last Update:
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