2021sp-final-project-filipwodnicki

Transit + OSMnx - Harvard Extension School CSCI E-29 Advanced Python for Data Science

bananalytics.github.io

map site sandbox

bay

🐟 A simple theme for Jekyll. Live at https://eliottvincent.github.io/bay/

beaver

flask powered web app to solve wood cut algorithm

custo

Cutting Stock Problem (1D) algorithms implemented with Python 3

dedupe-examples

:id: Examples for using the dedupe library

django-hello-world

https://docs.djangoproject.com/en/1.11/intro/tutorial01/

filipwodnicki-v2.github.io

jekyll repo

filipwodnicki.github.io

Host Filip Wodnicki's GitHub pages personal site

hello_flask

Code for PythonSpot- Flask Web App with Python (beginners tutorial)

kaggle-titanic

Easy-to-follow Titanic dataset walkthrough for Kaggle competition.

ktrain

ktrain: a lightweight wrapper for Keras to help train (and deploy) neural networks

lot-dash

mark_sum

Generate summary of webpages in Markdown automatically

microblog

Follow along with Miguel Grinberg's Flask Mega Tutorial

microblog-1

A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.

momepy-intro

Exploring momepy

mpk

osmnx

OSMnx: Python for street networks. Retrieve, construct, analyze, and visualize street networks from OpenStreetMap.

r-warmup

tdd-demo

Test-Driven Development demo directory

tensorflow-lambda-layer

Lets you import Tensorflow + Keras from an AWS lambda

wood-cutting