nikgun1984 Goto Github PK

30daysofjs-react

Reviewing some React concepts by completing 30days of JS

33-js-concepts

📜 33 concepts every JavaScript developer should know.

aboutme

adoption_agency

advanced-react-hooks

Learn Advanced React Hooks workshop

awesome-javascript-interviews

Popular JavaScript / React / Node / Mongo stack Interview questions and their answers. Many of them, I faced in actual interviews and ultimately got my first full-stack Dev job :)

bayesian-inference-for-normal-distribution-with-sigma-known-

blogly_sqlalchemy_postgresql

boggle---flask

bookshelf

Build a ReactJS App workshop

calculator-flask

card-memory-game

Card Memory Game is a card game in which cards are laid face down on a table and two cards are flipped face up on each turn. The object of the game is to turn over pairs of matching cards. The game is also known as Memory or Pairs.

carousel-react-testing

code_morse_translator

Translate from Morse to English and vice versa

codecheck-app

coin-flip

color-factory-routerpatterns

company-invoice-tracker-restful

complete-node-bootcamp

Starter files, final projects and FAQ for my Complete Node.js Bootcamp

connect-four-game

convertjpgtopng

currency-converter

data-structures-in-python

In this repository, i will implement all Data Structures from scratch using Python programming language.

data-transformation-and-box-muller

The algorithm I chose for this problem was using numpy library and Python programming language to generate random uniform floating point numbers which easily does it for us. Then I used logic to divide those billion numbers into bins which have corresponding intervals to calculate our percentages and averages. I basically summed up all the numbers and kept the count of numbers in order to draw conclusions. Then I utilized a similar technique to divide our numbers into (-50,50) interval where I used 10 bin each. After that I calculated percentages and created table by using dataframes from Pandas library. Matlablib lib was used to draw Histogram/BarChart and plot it using bins and percentages. I also tried to use timein function to see the running time of my program. It is O(n) complexity because it has only one loop which pretty fast considering 1 billion floating point numbers. The last part of the assignment was to write algorithm to transform our 0.1B uniform distributed floating point numbers in the interval (0,1). I generated numbers using 2 random variables and using Box-Muller formula I got normally distributed data out of Uniform random distribution. Running time for that code is O(n).

deck-of-cards-react

deck_of_cards

Displaying a simple card drawing from deck of cards to display how Promises works

dictionaries-sets

docker-react

dogs-react-router-patterns

ecommerce-react

simple ecommerce website using with firebase, graphql and other technologies