The modern replacement for Jupyter Notebooks
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Updated
Jun 28, 2024 - TypeScript
Individual facts, statistics, or items of information, often numeric. In a technical sense, data are a set of values of qualitative or quantitative variables about one or more persons or objects.
(https://en.wikipedia.org/w/index.php?title=Data&oldid=1093674723, released under CC BY-SA 3.0)
The modern replacement for Jupyter Notebooks
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
⚛️ React.js components 💯% compatible with 🪐 Jupyter. https://jupyter-ui-storybook.datalayer.tech
Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
Kaggle을 처음 접하는 사람들을 위한 문서
Jupyter Notebooks and Data Sets for Pandas Library
Set of notebooks complementing medium.com articles
The power of Chart.js with Python
For someone who is new at Kaggle
A fully-featured batteries-included Neovim distribution for the world of Data Science. Prepared to run code and interact with Jupyter Notebooks without ever leaving your terminal.
Go-Notebook is inspired by Jupyter Project (link) in order to document Golang code.
Serverless for data practitioners. The fastest ⚡️ way to run your code in the cloud. Effortlessly run scripts, functions, and Jupyter notebooks in virtual machines.
This repository contains jupyter notebook and other resources made by me during learning Data Science
Zero-True: A collaborative notebook built for data scientists