Interactive Data Visualization in the browser, from Python
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Updated
Mar 18, 2023 - Python
Interactive Data Visualization in the browser, from Python
Python library that makes it easy for data scientists to create charts.
A high-level app and dashboarding solution for Python
All the slides, accompanying code and exercises all stored in this repo.
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
Plotting addon for backtrader to support Bokeh (and maybe more)
Data exploration glue
Training Diary
This repository provides everything you need to get started with Python for (social science) research.
An extension for rendering Bokeh content in JupyterLab notebooks
btplotting provides plotting for backtests, optimization results and live data from backtrader.
JupyterHub extension for ContainDS Dashboards
A workshop on data visualization in Python with notebooks and exercises for following along.
web application for flight log analysis & review
Rendering Realistic Bokeh Images with PyNET
Resources for teaching & learning practical data visualization with python.
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