ramene / awesome-deepnote
A curated list of extensions, python packages, machine learning and collaborative notebooks ready to run in Deepnote.
☆54Updated 3 years ago
Related projects: ⓘ
- Call Jupyter notebooks as Python functions☆53Updated 4 years ago
- Comparing Polars to Pandas and a small introduction☆43Updated 3 years ago
- Render Jupyter Notebooks With Metaflow Cards☆24Updated 2 years ago
- JupyterLab extension to create GitHub commits & pull requests☆113Updated 2 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 2 years ago
- Common dependencies for data science workflows☆25Updated 3 weeks ago
- Data Science template for quickly setting up a project workflow; lightweight version of cookiecutter datascience.☆15Updated 4 years ago
- A JupyterLab theme extension which provides the Purple Please theme.☆59Updated last year
- Material for the Jupytext+Papermill blog post☆28Updated 4 years ago
- A labextension to integrate pyflyby with notebooks☆12Updated 6 months ago
- Parametrize and run scripts as notebooks with jupytext and papermill☆17Updated 4 years ago
- Explorations of survival analysis in Python☆50Updated last year
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆33Updated last year
- Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks☆32Updated this week
- Scipy 2019 Tutorial☆34Updated 4 years ago
- 🎛 Distributed machine learning made simple.☆49Updated last year
- JupyterLab dark theme inspired by the Github dark theme☆38Updated last year
- Talk "Beyond pandas: The great Python dataframe showdown"☆37Updated last year
- VS Code on Binder☆111Updated last week
- Viewer for Altair and Vega-Lite visualizations☆81Updated 5 months ago
- Linked data exploration in JupyterLab.☆29Updated last year
- A Tour of JupyterLab Extensions - PyConDE & PyData Berlin 2019☆20Updated 4 years ago
- 🏖 User written and user focused documentation for working with nteract! Join us!☆18Updated 4 years ago
- A short example showing how to write a lecture series using Jupyter Book 2.0.☆35Updated 2 years ago
- A collection of helpers for Jupyter/IPython☆46Updated 3 years ago
- ☆27Updated 5 years ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 4 years ago
- ☆22Updated last year
- ☆22Updated 2 years ago