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Python in Digital Scholarship

This guide will provide an introduction to using Python in research and instruction and what resources are available in the Freedman Center.

Data Visualization Tutorials

Real Python – Data Visualization Learning Path

A curated learning path on Real Python that covers core visualization topics including Matplotlib, Seaborn, Plotly, GeoPandas, and data presentation techniques suited for academic and professional use.

Real Python – Pandas Plotting Essentials

An article on leveraging Pandas’ built-in plotting capabilities, demonstrating how to quickly visualize data directly from DataFrame objects with Matplotlib.

Plotly Fundamentals – Official Plotly Documentation

An authoritative guide to Plotly’s Python API, covering the creation of interactive line, scatter, bar, area, and heatmap charts. Ideal for generating publication-quality interactive visualizations.

Python Plotly Express Tutorial – DataCamp

Focuses on Plotly Express, the high-level interface to Plotly. Teaches how to quickly generate interactive charts with minimal code, suitable for rapid data exploration

Live Training: Data Visualization in Python for Beginners – DataCamp

A practical, live-code-along session that walks learners through real-time creation of visualizations using Matplotlib, Seaborn, and Plotly. Offers guided instruction suitable for beginners to understand chart construction and visualization principles.

GeoPandas Tutorial: Geospatial Analysis – DataCamp

Introduces GeoPandas for geospatial visualization in Python. Demonstrates mapping data using GeoDataFrames, plotting geographic features, and performing basic spatial operations.