#Bokeh
Showing 36 of 36 repositories tagged #bokeh, ranked by stars
Interactive Data Visualization in the browser, from Python
Panel: The powerful data exploration & web app framework for Python
Python library that makes it easy for data scientists to create charts.
All the slides, accompanying code and exercises all stored in this repo. 🎈
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Data exploration glue
:speedboat: Label data at scale. Fun and precision included.
This repository provides everything you need to get started with Python for (social science) research.
Training Diary
JupyterHub extension for ContainDS Dashboards
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).
Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.
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.
Data driven report builder for the Python data ecosystem.
A New, Interactive Approach to Learning Data Visualization
A DICOM Database Application for Radiation Oncology
Data Science + ML Cheat Sheet collection by me
An (old) and unstructured (messy tbh) collection of programming exercises.
An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements
Curated Python Notebooks for Amazing Data Visualization
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.
PyWebIO data visualization demos.
Information Visualisation lectures @DHDK / UNIBO
scripts and notes for learning
Use bokeh as the backend, you will get richer plot effects for backtrader
Visualization library for well-known-text strings and shapely geometries.
🏠 A Data Science Project done to find the factors that most affect the price of an Airbnb listing.
Repository for participants of the "Python for data science" training
folium, bokeh, jupyter, python
Here you find CheatSheets for Data Science Topics
Bokeh extensions to plot molecules easily
A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.
Leafmap for Jupyterlite