Showing 5 open source projects for "grasp"

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    Train ML Models With SQL You Already Know

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  • 1
    LeetCode Animation

    LeetCode Animation

    Demonstrate all the questions on LeetCode in the form of animation

    ...The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. The project also includes a curated set of 40 problems from the “Sword Pointing to Offer” series—commonly asked in technical interviews—accompanied by detailed analyses and visual breakdowns. These materials are designed for both beginners starting their algorithm journey and experienced developers seeking to reinforce their understanding. ...
    Downloads: 2 This Week
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  • 2
    Docker Curriculum

    Docker Curriculum

    A comprehensive tutorial on getting started with Docker

    Docker Curriculum is a hands-on tutorial that teaches Docker from first principles to practical deployment through a sequence of guided exercises. It starts with images and containers, then layers on volumes, networks, and multi-container composition so learners grasp how pieces fit together. The material emphasizes doing over reading: you build images, run services, and push to registries as you go, reinforcing concepts with real commands. It also connects Docker to everyday developer workflows, covering topics like local development setups, environment variables, and debugging techniques. By the end, readers are comfortable packaging applications and orchestrating them locally, with pointers toward production considerations. ...
    Downloads: 0 This Week
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  • 3
    React Projects

    React Projects

    Collection of React example / tutorial projects

    ...The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where appropriate. Because every project focuses on a narrow set of concepts, learners can clone a single folder, run it, and grasp the idea without wading through a monolith. The examples are structured to be approachable yet idiomatic, encouraging good habits while staying close to what developers actually build. Over time, the collection functions as a portfolio of reference implementations that students and practitioners can adapt to new projects.
    Downloads: 1 This Week
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  • 4
    kakagui

    kakagui

    Kakagui is a gui interface for kakasi, the Kanji Kana Simple Inverter

    Kakagui かかぐい, is a gui interface for kakasi, the Kanji Kana Simple Inverter. It can be used by Japanese learners who do not yet have a strong grasp on Kanji to convert text to hiragana/katakana or Romaji to help in reading Japanese.
    Downloads: 0 This Week
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  • 5
    Statistics for Data Scientists

    Statistics for Data Scientists

    "Statistics for Data Scientists: 50 Essential Concepts"

    The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that illustrate how statistical methods are applied to real datasets. It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. ...
    Downloads: 0 This Week
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