jamessandoval Goto Github PK

algorithms

api-example

Climate API Example

bash-stash

A repository for all my bash scripts

basic-cpp

A short list of coursework originating from OSU 2015

behat

A self-contained Docker image to run Behat with no external dependencies

behathtmlformatterplugin

This is a behat plugin to generate HTML reports

c-datastructures

cptelecom

A web application that builds a community of practice for people who work from home.

cs362-004-u2017

SOFTWARE ENGINEERING II (CS_362_400_U2017)

django-bootstrap-base-template

A common base template for Django web apps using Bootstrap

epimetheus-test-environment

Dockerized Jmeter-Selenium to run distrubuted load tests.

games-cpp

A short compilation of misc assignments.

goldfinch-terraform

hello-world

Hello World - a simple github exercise

life

A useful tool for managing all aspects of your life.

matlab-expirements

A repository for Matlab based meanderings.

meal-planning

Getting up to speed with Angular V.6

mean-base

Test Suite Dashboard Using the M*EAN stack

megacrawler

A simple crawler that finds all relevant anchor hrefs and upload to database along with language locale and specific id.

milicrawl

Python concurrent crawl

network-programming

Python scripts demonstrating a few networking techniques.

perseus-webapp

personal-site

My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.

robin_stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

scrapy_service

scrapy_service

sequelize

An easy-to-use multi SQL dialect ORM for Node.js

slots

startbootstrap-resume

A Bootstrap 4 resume/CV theme created by Start Bootstrap

template-python

A template for new Python libraries.

tensorflow

Computation using data flow graphs for scalable machine learning