Mohamed Oun Mohamed3on

## cloudSettings
{"lastUpload":"2021-10-02T06:25:20.555Z","extensionVersion":"v3.4.3"}

## CordovaDevtools.md

      
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                Inspect Cordova/Ionic apps with Chrome Devtools
              
          
Connect your Android device
Make sure it's working correctly with adb and you can find it when you run adb devices
In the directory of your app, run cordova run android --device, Now the app will run on your device
Go to chrome://inspect/#devices on your Chrome browser, and select your app and click inspect
Now you can inspect the HTML/CSS, and debug your JS with ease!


## batchPrettier.md

      
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                Mohamed3on
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                Run prettier on all JS files in a directory
              
          
Install prettier
Make a .prettierignore file, and add directories you'd like prettier to not format, for example: **/node_modules
Run prettier --write "**/*.js" *Don't forget the quotes.
Optional: if you want to format JSON/SCSS files too, replace js with json/scss.


## hyper.js
// Future versions of Hyper may add additional config options,
// which will not automatically be merged into this file.
// See https://hyper.is#cfg for all currently supported options.

module.exports = {
  config: {
    // default font size in pixels for all tabs
    fontSize: 14,

    // font family with optional fallbacks

## The Technical Interview Cheat Sheet.md

      
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                Mohamed3on
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                — forked from tsiege/The Technical Interview Cheat Sheet.md
            
              
                This is a fork to fix the markdown errors in the original gist.
              
          
    Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics.  It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth.  It also will be available as a gist on Github for everyone to edit and add to.
Data Structure Basics

Array

Definition:


Stores data elements based on an sequential, most commonly 0 based, index.
Based on tuples from set theory.


## nnCostFunction.m
function [J grad] = nnCostFunction(nn_params, ...
                                   input_layer_size, ...
                                   hidden_layer_size, ...
                                   num_labels, ...
                                   X, y, lambda)
%NNCOSTFUNCTION Implements the neural network cost function for a two layer
%neural network which performs classification
%   [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ...
%   X, y, lambda) computes the cost and gradient of the neural network. The
%   parameters for the neural network are "unrolled" into the vector
	// Future versions of Hyper may add additional config options,
	// which will not automatically be merged into this file.
	// See https://hyper.is#cfg for all currently supported options.

	module.exports = {
	config: {
	// default font size in pixels for all tabs
	fontSize: 14,

	// font family with optional fallbacks
	function [J grad] = nnCostFunction(nn_params, ...
	input_layer_size, ...
	hidden_layer_size, ...
	num_labels, ...
	X, y, lambda)
	%NNCOSTFUNCTION Implements the neural network cost function for a two layer
	%neural network which performs classification
	% [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ...
	% X, y, lambda) computes the cost and gradient of the neural network. The
	% parameters for the neural network are "unrolled" into the vector