Name: Daniel Kapitan
Type: User
Company: freelance data scientist
Bio: Physicist-turned-data-scientist. Helping others to do more with data. Connecting machine learning with self-organisation. Pythonista.
Location: Rotterdam, the Netherlands
Blog: https://linkedin.com/in/dkapitan
Daniel Kapitan's Projects
Declarative statistical visualization library for Python
this repo contains the draft, images, and code for the Medium blog post on altair themes.
Everything that makes working with databases easier
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Interactive Data Visualization in the browser, from Python
Python implementation of Zan Armstrong's comet charts
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Hypermodern Python Cookiecutter
Dash components & demos to create Altair, Matplotlib, Highcharts , and Bokeh graphs within Dash apps.
Apps hosted in the Dash Gallery
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Data Science Dev Containers for R, Python and Julia
A foundational data science curriculum in Python based on materials from the creative commons.
Data visualization & storytelling course with Altair and Quarto
An experimental self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more!
Course material from SuperDataScience
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hosted Bokeh App Demos
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
A collection of Dev Container Features.
a generative algorithm