Visualization

Folium: Interactive Maps in Python

Libraries & Frameworks

Folium is a Python library that creates interactive, visually appealing maps using Leaflet.js, perfect for visualizing geographic data, plotting routes, and adding custom layers easily.

Introduction to Seaborn for Visualization

Data Analysis & Visualization

Seaborn simplifies data visualization in Python by offering a high-level interface built on Matplotlib. It helps create attractive and informative statistical graphics with less code and more polish.

Plotly Scatter Plots

Data Analysis & Visualization

Learn how to create interactive scatter plots with Plotly to visualize relationships, clusters, trends, and distributions in your Python data.

Python Matplotlib Reference

Cheatsheets & Reference Guides

A guide to Matplotlib for Python data visualization, covering installation, key components, and daily techniques for creating plots and multi-panel figures.

Saving Plots with Matplotlib

Data Analysis & Visualization

Learn to save and customize Matplotlib plots for reports, sharing, and online use, from basic exports to advanced settings.