bokeh / tutorialLinks
Notebooks and presentation materials for Bokeh tutorials
☆40Updated 5 months ago
Alternatives and similar repositories for tutorial
Users that are interested in tutorial are comparing it to the libraries listed below
Sorting:
- A repository of awesome panel examples. The apps are running entirely in the browser as webassembly apps. NO SERVER REQUIRED.☆71Updated 3 years ago
- The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.☆57Updated last year
- ☆72Updated 3 years ago
- A Modal that works with Panel in both server and notebook environments.☆21Updated 2 years ago
- A short example showing how to write a lecture series using Jupyter Book 2.0.☆37Updated 4 years ago
- 2023 Scipy Pandas tutorial☆22Updated 2 years ago
- Source for the PyViz.org website.☆182Updated this week
- Use MyST Markdown directly in Jupyter Lab☆181Updated last month
- Cookiecutter template for a simple jupyter book☆156Updated 9 months ago
- A framework for building print-oriented media with Jupyter☆41Updated this week
- JupyterLab extension to enable markdown-it rendering, with support for markdown-it plugins☆51Updated 2 years ago
- Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy☆45Updated 2 years ago
- Voici turns any Jupyter Notebook into a static web application☆215Updated last month
- Dashboarding with ipyflex and voila☆31Updated 3 years ago
- Python file chooser widget for use in Jupyter/IPython in conjunction with ipywidgets☆117Updated last year
- Python Tutor extension for JupyterLab☆17Updated 2 years ago
- Code and materials for Effective Polars book☆82Updated last year
- Tools to create, edit, and persist annotated regions for HoloViews☆26Updated 8 months ago
- The Pandata scalable open-source analysis stack☆69Updated last year
- A cellmagic that captures celloutput such as text, image or video to files.☆40Updated 9 months ago
- Cookiecutter template for Python packages☆107Updated 9 months ago
- Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality☆118Updated 2 years ago
- a tutorial and 'cookiecutter' template for a scientific Python library☆120Updated 2 years ago
- A cookiecutter template for conda packages using Python☆108Updated 3 months ago
- Open-source Platform for Scientific and Technical Data Processing and Visualization☆77Updated this week
- Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.☆124Updated last month
- Parse and execute ipynb files in Sphinx☆229Updated 3 weeks ago
- Cell-by-cell testing for production Jupyter notebooks in JupyterLab☆95Updated this week
- ☆17Updated last year
- Fast window operations☆45Updated last year