Discover @dylburger Open Source projects

Dylan J. Sather (@dylburger)

dylburger

Stars
170
Global Rank 139,912 (Top 5 %)
Followers 116
Following 1
Registered over 14 years ago
Most used languages

Python
36.4 %

JavaScript
27.3 %

Jupyter Notebook
22.7 %

Vim Script
4.5 %

Shell
4.5 %

PHP
4.5 %
Location 🇺🇸 United States
Country Total Rank 32,183
Country Ranking

Jupyter Notebook
1,559

Vim Script
5,273

Shell
9,467

noaa-ghcn-weather-data

Fetching and processing NOAA Global Historical Climatology Network Weather Data

Jupyter Notebook

create-and-validate-acm-certificate

Creates an ACM certificate with DNS validation, creates the validation records directly in Route 53

reading-api-key-from-file

How to read an API key from a file using Python

Jupyter Notebook

Anti-Malware-Scripts

A set of scripts to manage updates for common anti-malware programs

sf-lat-long-mapper

Map a (lat, long) coordinate to a San Francisco neighborhood, or ZIP, with help from APIs

dylbaum.com

Wedding website, with lots of help from gatsby.js

heroku-deploy-instructions

Overview of how to deploy a simple Flask app on Heroku

trump-fox-and-friends-viz

D3 viz of Trump's April 26th, 2018 Interview with Fox and Friends

TechMap

Grinnell College Technology Map

brand-new-repo

pipedream-rest-api-tests

Tests the serverless REST API implemented on Pipedream

full-stack-flask-app

Example of a full stack Flask app

effective-python-notes-and-code

Notes and test code for Effective Python

python-data-structures

Exploration of basic data structures in Python

true-url-js

Retrieve the URL of the actual page on which your code runs, not just the URL of the current frame

javascript-examples

Examples of Javascript code

pipedream-components

Pipedream components (see https://github.com/PipedreamHQ/pipedream)

github-reactions-analysis

Analysis of Github Reactions to Issues

Jupyter Notebook

sf-311-case-analysis

Some basic techniques for cleaning and exploring data, using SF 311 data from 2017

Jupyter Notebook

aws-budgets-cli

Enables creation of budgets for AWS through a simple command line interface

dot-files

Keeps dot files under version control

wedding-website-cloudformation-templates

Cloudformation templates for wedding website

python-bootcamp

Various code / notes for Python bootcamp

Jupyter Notebook

documenting-python-code