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I'm manisar (manisar2 on Github).
While coding is both my hobby and occupation, I find immense interest in physics and calculus as well.

You can find me on the following platforms sharings bits and pieces of knowledge.
Among these, randompearls.com is where I've contributed the most because of its great flexibility and control over presentation.

1. randompearls.com
2. github
3. physics.stackexchange.com and other stackexchange sites such as stackoverflow
4. quora
5. medium (through randompearls.com)
6. Youtube (through randompearls.com)

I'm currently into Python and machine learning.

Find below some of the code snippets, tools, reference guides and musings authored by me.

• LSTM or Long-Short Term Memory - Learn by Interacting

  Learn about LSTMs, and see why they work the way they do by interacting with one! It's astonishing to see that by using a very simple mechanism, we can somewhat generate the pattern long and short term memory are supposed to follow.

• MNIST - Draw and Test Prediction

  MNIST-digit-prediction is considered to be the Hello World of machine learning programming. Here, I've used a pre-trained model served by TensorFlow Serving to predict digits from 0 to 9 that you may draw on the canvas. Front-end code was built upon the example provided by Bob Hammell.

• Monty Hall Paradox Test Tool

  Though generally described for 3 doors, the more generalized version as explained in this page can help us understand why it works. In the tool given here, we can modify the total number of doors (n), the doors selected by the host (y), then the doors opened from those selected doors (x), and the total number of winning doors (t). The computer plays against itself 100,000 times and shows the number of wins as per different strategies.

• Extract Subtitles from YouTube in Plain Text, SRT or VTT Formats

  Use this tool for downloading captions or subtitles from YouTube in plain text or in VTT or SRT formats, in the language of your choice.
  It can also be used for converting any subtitles, that you already have, from VTT format to text or SRT format.

• Gambler's Fallacy - Let's Confirm by Playing!

  Let the computer play thousands of times betting on different strategies to see if it's really a fallacy. ...it's the tendency to think that a tails is highly likely to show up in a coin toss if the last 5 (e.g.) tosses all resulted in heads.This is a fallacy because this is simply not true!

• Knight's Tour on A Chessboard

  It's possible for a knight on a chessboard to traverse the complete board visiting every position once and only once. Here I'm using backtracking to find such a tour starting with any position. Press '1' in any cell in the grid below and hit Submit.

• Online Sudoku Solver

  This page can also be used as service that solves a 9x9 Sudoku. The service is written in Python. With the solved Sudoku, the service also returns some other statistics such as the counts of recursive and non-recursive calls etc.

• Scrape Stock Quotes

  This is a demo tool that shows how web-scraping can be used to get stock quotes in interesting ways, and in bulk, e.g. from Google Finance.
  Note - currently broken, I'll fix and update.

• Show Markdown from within Code Cells in Jupyter and VS Code's Python Interactive

  A github package for displaying markdown from within code cells in IPython output, while ignoring it when run in normal Python (like usual comments). Code and Installation, notebook and .py examples

• Save Windows Screenshot as jpg File using a Shortcut Key

  Save image from clipboard to a jpg file without needing an image processing program.
  Code.

• Snippets Useful in Machine Learning Programming

  print_metrics

  Print color-coded TensorFlow metrics in IPython for Training, Validation and Test data or datasets in tabular format, comparing those with the another metrics (such as previous history), if any.

• Desktop Seach Utility (proprietary)

  It's a combination of file explorer and file-search utility.
  For integration into Windows context menu, run it first time as administrator.
  It has some cool features still absent from Windows explorer search, such as multi-directory search, using max depth and file size, hot-search, showing tree-view in the results, exporting to Excel or html etc.

Blender, manim, desmos, dot and Voicemeeter are the tools I've primarily used for animation.

• Recurrent Neural Network - Basic Plumbing

• Numpy Array - Sum, Axes and Dimensions

• Standard Deviation Significance

• How to Make Private Updateable Clone (of third party repos) in Git
  

  Create private equivalent of a fork of a public repo on github.

• What's up with VS Code, WSL, Docker and Dev-containers?

  Code, develop, build, test and showcase like a Pro.
  

• 2FA and Authenticator Apps - The Issues and the Way Out!

  A truly portable and secure solution for managing your 2FA accounts!
  No need to worry about losing your laptop, phone or changing from Android to iOS or vice versa.
  

• Audio Setup with and without External Dock

  Setup audio both with and without an external dock.
  Force detection of audio devices including speakers and microphones.
  

• The Monty Hall Paradox Probability Equations

  While in Monty Hall Paradox Test Tool I focused on explaining the working of this paradox through its results, here I have derived the equations for the generalized case (for any number of total, opened and winning doors).
  Nice to see how the results match the equations.

• Neural Networks - What's Happening? An Intuitive Introduction to Machine Learning

  Multiple chapters.
  Trying to explain how machine learning is a natural progression of conventional regression using the rapidly advancing processing power, and some of the neat small mathematical tricks we had or discovered in the last century.
  This, while also shaping up the constructing ideas behind it from the ground-up - for the semi-initiated.

• Information Theory - Rationale Behind Using Logarithm for Entropy, and Other Explanations

  If you work in, or have interest in Information Technology or Mathematics, then Information Theory is something you must be acquainted with.
  If you haven't heard of it, check the section Information Theory - Quick Introduction on the linked page.
  What I have provided on this page is an intuitive build-up which is generally not present in most explanations of the Information Theory - including the one that came from its founder.

• An Intuitive Look at Euler's Formula (and All the Numbers!)
  

  If enlightenment came in pieces, I bet the realization which I had and which I've provided on this page, would be one of those!

• Standard Deviation (σ) vs. Mean Absolute Deviation (MAD)

  On a cursory look, MAD seems to be perfect – we want to know – on an average – how far each of the numbers in a set of observations is from their mean (M), and MAD tells us exactly that.
  Then what is the problem? Why don’t we use MAD everywhere instead of σ?

• Numpy Array - Sum, Axes and Dimensions

  A little visualization for understanding this basic stuff. You can also look at this animation for a quick overview.

• How Do Objects Fly?

  With a Thrust-to-Weight Ratio of Less Than 1!

• How Do Objects Float?

  Multiple Explanations

• Tensors in Physics - Once and For All

  If the idea of tensors ever intrigued you and you wanted to get to the real physical understanding of them, this article might help.

• The Relativity of Physics and The Physics of Relativity

  A humble attempt at explaining the relativity of physics and the physics of relativity, with special treatment to vector analysis.
  Some knowledge of calculus is required.

• What's with Visarga and Anusvara? How are they different from ह and म/न?

  Visarga ( ः), ह and ह् are indeed disparate in Sanskrit, and so are anusvara ( ं - ṃ), न, न्, म and म्.

• A True Story Yet To Happen

  See if you can make any sense of it. I couldn't since the time I wrote it.
  It did make some sense before I conceived it though!

• Stories for Vedantins

  A few short motivational stories, retold.