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There's No Plan B for Your A Game!
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There's No Plan B for Your A Game!

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kyurikotpq-me/README.md

My Stack-tistics

NodeJS, MongoDB, PostgreSQL

HTML5, CSS3 / Tailwind / SCSS, Javascript, Vue

Basic Python for web automation (Selenium) and data science (Pandas, numpy, Matplotlib/Seaborn for dataviz)

Learning

  • Typescript, React
  • Tensorflow

Tech I used to use but not so often anymore

PHP, Laravel, MySQL, WordPress

jQuery, Angular, React Native, Java

Bootstrap

VBA (used this for automation work in SAP, Blue Prism & Excel)

Pinned Loading

  1. zettelkasten zettelkasten Public template

    VS Code-based Zettelkasten/Second Brain setup using extensions.

    CSS 2

  2. tarot-analyzer tarot-analyzer Public

    Practice basic data analysis and visualization with Python by analyzing a sample set of tarot readings.

  3. Bare minimum code to generate an iCa... Bare minimum code to generate an iCal file. Note that this is a controller function, linked to a web route.
    1
    <?php
    2
      public function iCal() {
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        // Hardcoded data
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        // Moscow (GMT +3) timezone used
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        $UID = md5(date('dmYHis'));
  4. WordPress: Disable creation of post ... WordPress: Disable creation of post type via "Add New" button and link.
    1
    <?php // Do not include this if already open!
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    /**
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     * Remove support for the "Add New" buttons and links.
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     * The code below goes to your theme's functions.php.
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     */
  5. Calculate nPr (out of n elements, pe... Calculate nPr (out of n elements, permutate r elements) where there are REPEATED elements in the dataset. The dataset used is a Pandas Dataframe column.
    1
    # Calculate n! using recursion
    2
    def factorial(n):
    3
        if n < 2:
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            return 1
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        else:
  6. Given a set of SageMath vectors that... Given a set of SageMath vectors that already form a basis, generate the orthonormal basis set of vectors using the Gram Schmidt algorithm.
    1
    def gram_schmidt(vectors):
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        ortho_basis_vectors = []
    3
        
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        # Go through all vectors
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        for i in range(len(vectors)):