There are 21 repositories under bokeh topic.
All the slides, accompanying code and exercises all stored in this repo. 🎈
Plotting addon for backtrader to support Bokeh (and maybe more)
btplotting provides plotting for backtests, optimization results and live data from backtrader.
An extension for rendering Bokeh content in JupyterLab notebooks
This repository provides everything you need to get started with Python for (social science) research.
Training Diary
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
JupyterHub extension for ContainDS Dashboards
web application for flight log analysis & review
Rendering Realistic Bokeh Images with PyNET
Graphics engine written in C++ using DirectX11
Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight
Resources for teaching & learning practical data visualization with python.
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 topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
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.
Bokeh-esque particle depth of field in Godot 3.0
A New, Interactive Approach to Learning Data Visualization
A DICOM Database Application for Radiation Oncology
An (old) and unstructured (messy tbh) collection of programming exercises.
Systole: A python package for cardiac signal synchrony and analysis
A practical guide to topic mining and interactive visualizations
A financial data processing and visualization platform using Apache Kafka, Apache Cassandra, and Bokeh.
Data Science + ML Cheat Sheet collection by me