Starter notebooks and directories in JupyterLab
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Updated
Mar 15, 2023 - Python
Starter notebooks and directories in JupyterLab
A cookiecutter template for making IPyWidgets using Svelte
A modern template for data science projects with all the necessary tools for experiment, development, testing, and deployment. From notebooks to production.
📚 Builder project structure for data science workspace. 🤖
Template for research projects that utilize Jupyter notebooks for exploration, experimentation, analysis, and reporting
Spin up notebook on the go
This is a Cookiecutter for using PyVista on the notebook hosting service MyBinder.
Cookiecutter for analysis notebook repos for UBC EOAS MOAD group members
Complete analysis over three different datasets
A cookiecutter for rendering MIME type based output
My custom cookiecutter template for Data Science projects - template assumes a prototyping phase (using Jupyter notebooks) and a productionising phase.
This repository provides a structured template for data science projects using Cookiecutter. It includes a sample Exploratory Data Analysis (EDA) notebook template to kickstart your data exploration and analysis, organized for scalability and best practices.
This repository provides an example of an Exploratory Data Analysis (EDA) on the Penguins dataset, showcasing how to use Cookiecutter for structuring data science projects. The project includes a Jupyter Notebook with a complete EDA to explore relationships and patterns across penguin species.
Add a description, image, and links to the cookiecutter topic page so that developers can more easily learn about it.
To associate your repository with the cookiecutter topic, visit your repo's landing page and select "manage topics."