diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..1d8dd28
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,50 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+
+# C extensions
+*.so
+
+# Distribution / packaging
+bin/
+build/
+develop-eggs/
+dist/
+eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+.tox/
+.coverage
+.cache
+nosetests.xml
+coverage.xml
+
+# Translations
+*.mo
+
+# Mr Developer
+.mr.developer.cfg
+.project
+.pydevproject
+
+# Rope
+.ropeproject
+
+# Django stuff:
+*.log
+*.pot
+
+# Sphinx documentation
+docs/_build/
diff --git a/PySquiggleDraw/environment.yml b/PySquiggleDraw/environment.yml
new file mode 100644
index 0000000..fd2b94a
--- /dev/null
+++ b/PySquiggleDraw/environment.yml
@@ -0,0 +1,15 @@
+name: gen-art-env
+channels:
+ - defaults
+dependencies:
+ - jupyterlab
+ - networkx
+ - ipywidgets
+ - numpy
+ - matplotlib
+ - shapely
+ - pycairo
+ - scipy
+ - colour
+ - scikit-image
+ - scour
diff --git a/PySquiggleDraw/example_usage.ipynb b/PySquiggleDraw/example_usage.ipynb
new file mode 100644
index 0000000..d0dd6bb
--- /dev/null
+++ b/PySquiggleDraw/example_usage.ipynb
@@ -0,0 +1,273 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# SquiggleDraw - Vectorizing Bitmap Images with Squiggles"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "I recently got my hands on a new toy: the [Axidraw V3](https://www.youtube.com/watch?v=5492ZjivAQ0&ab_channel=EvilMadScientist). A type of *pen plotter*, this machine uses two dimensions of motorized movement to draw whatever it's instructed to. It can be controlled in a number of ways, but usually you pass the digital drawing instructions as an [SVG file](https://developer.mozilla.org/en-US/docs/Learn/HTML/Multimedia_and_embedding/Adding_vector_graphics_to_the_Web), which is a common format for [vector graphics](https://en.wikipedia.org/wiki/Vector_graphics) used on the web. \n",
+ "\n",
+ "There are many ways to create art with the pen plotter. One of the most common methods is drawing vectorized bitmap images. This means taking an image with pixel representation- like one taken with a camera- and translating it to a vector representation. Just as there can be inumerable ways to sketch the same picture of a beatuiful beach sunset, there are [many ways to vectorize bitmap images](https://drawingbotv3.readthedocs.io/en/latest/pfms.html).\n",
+ "\n",
+ "I recently implemented one such way to vectorize bitmap images in python, called SquiggleDraw, inspired by a [previous implementation](https://github.com/gwygonik/SquiggleDraw) in a language called [Processing](https://processing.org/). SquiggleDraw turns a bitmap image into many horizontal sinusoidal waves whose amplitude and frequency depend on the images luminance. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from squiggledraw import SquiggleDrawer"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## First Example"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This is a picture of my dog, [gus](http://jwalk.io/gus), sleeping.\n",
+ "\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can use the SquiggleDrawer object to prepare the image before we convert it to vector graphics. Usually, it helps to increase the contrast and downsample the image, as each row of pixels will be turned into a single drawn line, and you don't want *too many* lines. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
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