Interactive Data Visualization in the browser, from Python

All the slides, accompanying code and exercises all stored in this repo. 🎈

Panel: The powerful data exploration & web app framework for Python

A workshop on data visualization in Python with notebooks and exercises for following along.

Python library that makes it easy for data scientists to create charts.

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

web application for flight log analysis & review

Plotting addon for backtrader to support Bokeh (and maybe more)

folium, bokeh, jupyter, python

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

A New, Interactive Approach to Learning Data Visualization

This repository provides everything you need to get started with Python for (social science) research.

btplotting provides plotting for backtests, optimization results and live data from backtrader.

Tutorials for creating figures, tables, or other content for AAS Journals.

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to…

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

A set of useful perceptually uniform colormaps for plotting scientific data

A practical guide to topic mining and interactive visualizations

An extension for rendering Bokeh content in JupyterLab notebooks