jeffrimko Goto Github PK

followers: 26.0 following: 17.0 repos: 45.0 gists: 8.0

Name: Jeffrey Rimko

Type: User

Bio: Computer engineer and software developer in the greater Pittsburgh, Pennsylvania area.

Location: Hermitage, PA

Blog: jeffcomput.es

Jeffrey Rimko's Projects

adventofcode2019

Exercises for the Advent of Code 2019 event.

auxly

Python library for various helper classes/functions originally intended to make shell-like scripting easier.

awesome-tabletop-rpgs

Awesome list of free and/or open source tabletop RPGs

batchlib

Microsoft batch library providing various useful functions.

Build a crash prediction modeling application that leverages multiple data sources to generate a set of dynamic predictions we can use to identify potential trouble spots and direct timely safety interventions.

csharppractice

Various small C# projects used for reference or practice purposes.

csvpal

CLI utility for filtering and sorting CSV files.

docopt

Pythonic command line arguments parser, that will make you smile

doctrine

GUI utility for quickly viewing rendered AsciiDoc.

doctrine2

GUI utility for quickly viewing rendered AsciiDoc.

flasksvelte-simpledemo

Demo of a simple Flask/Svelte web app.

flaskvue-simpledemo

Demo of a simple Flask/Vue web app.

fresh-jeffcomputes

Modified version of the Fresh Pelican theme used for the JeffComputes blog.

gamejam-ysu2016

Files for the 2016 YSU Game Jam.

godot

Godot Engine – Multi-platform 2D and 3D game engine

gotowindow

A keyboard-maniac alt-tab alternative

hospitalrun-frontend

Ember front end for HospitalRun

insideoutdebugger

A python debugging tool that allow's you to be inside your python program in runtime, with this you can use all of the variables that exist's in your program at the time and look for the bug easier.

italianvocab

Italian words and phrases.

iterfzf

Pythonic interface to fzf, a CLI fuzzy finder

jupylib

Python library for helper functions when working with Jupyter notebooks.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.