#!/usr/bin/env python
# coding: utf-8

# # Beyond the Basics: Data Visualization in Python
# 
# ### Stefanie Molin

# ## Bio
# 
# - Software engineer and data scientist at Bloomberg in New York City
# - Working in information security
# - Author of [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) (currently in its second edition)
# - BS in operations research from Columbia University
# - Currently pursuing MS in computer science (ML specialization) from Georgia Tech

# ### Prerequisites
# Consult the [README](https://github.com/stefmolin/python-data-viz-workshop) for environment setup instructions or use [this](https://mybinder.org/v2/gh/stefmolin/python-data-viz-workshop/main?urlpath=lab) Binder environment.

# ### Session Outline
# 1. Getting Started With Matplotlib
# 2. Moving Beyond Static Visualizations
# 3. Building Interactive Visualizations for Data Exploration

# ## Let's get started
# 
# *Be sure to follow along in the [notebooks](https://github.com/stefmolin/python-data-viz-workshop/tree/main/notebooks).*
# 
# <img width="30%" src="https://images.unsplash.com/photo-1496147956370-9486a6fc2208?ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&ixlib=rb-1.2.1&auto=format&fit=crop&w=1974&q=80" alt="Swan and cygnets" style="min-width: 300px">