mtayyabsaeed Goto Github PK

awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

course-collaboration-travel-plans

course-git-blog-project

Sample repo of a blog for the Git course

data-science-master-project

deep-learning

My personal deep learning practice which I could refer back to and could be used by others.

dotfiles

frontend-nanodegree-styleguide

Official FEND style guides

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hangman-movies

This a game to guess movies names. The user have limited chances in which he/she has to make the guess.

instructor-portion

inventorysystem

jquery

jQuery JavaScript Library

learning-hub

This project is meant to make a web application for tutorials

librarymanagementsystem

A simple project to demonstrate how to create a library, acting as an introduction to git and java

lighthouse

Auditing, performance metrics, and best practices for Progressive Web Apps

linear-algebra-with-numpy

Linear algebra with numpy for my trainees

machine-learning

My personal deep learning practice which I could refer back to and could be used by others.

mysql

A pure node.js JavaScript Client implementing the MySql protocol.

node-login

A template for quickly building login systems on top of Node.js & Mysql

notion-clone

Edit Notes like in Notion.so. Full-Stack App using React/Express.

notion.css

A minimal CSS framework that resembles the aesthetic of the note taking app Notion

pydata-simpsons

Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas

pydata_la_2018

Added repo for PyData LA 2018 tutorial

pysheeet

Python Cheat Sheet

react-project

restaurant-app

resume

source-code-from-tutorials

Here is the source code from all of my tutorials.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning