Getting started, what are Jupyter notebooks useful for, and tips and tricks
-
Updated
Aug 22, 2017 - Jupyter Notebook
Getting started, what are Jupyter notebooks useful for, and tips and tricks
📓 Pretty Darn Good Control: applications in optimal control
📓 Migrated from the prosecutor branch of my earlywarning repository
Results of the paper: Zapata, Jose R.; Gómez, Emilia. "Comparative Evaluation and Combination of Audio Tempo Estimation Approaches", AES 42nd International Conference: Semantic Audio, Ilmenau, Germany. pp. 198 - 207, Jul 2011. in a jupyter notebook
Training materials for the Open Science Workshop held in Nariobi
A reproducibility study using the Colomoto notebook
A starter kit for crafting reports based on Jupyter notebooks
demo for setting up a reproducible jupyter notebook using singularity container
Publication ready scientific reports and presentations with Jupyter notebooks
Ready to use R Markdown notebook for the paper "Reproducible research and GIScience: an evaluation using AGILE conference papers"
📓 Ecology Letters review paper: Noise-driven phenomena in population biology
Examples for paper: "Ten Simple Rules for Reproducible Research with Jupyter Notebooks"
This repository contains reproduction of papers in iPython notebook.
📓 Non-parametric Bayesian Inference for Conservation Decisions
Guide for Reproducible Research and Data Science in Jupyter Notebooks
unit-testing for a collection of jupyter notebooks using nbconvert
📓 Code for "Fluctuation Domains in Adaptive Evolution", published in TPB
Special Issue: The Potential of Notebooks for Scientific Publication: Reproducibility, and Dissemination
This repository contains jupyter-notebooks that refer to my paper summaries.
Add a description, image, and links to the reproducible-research topic page so that developers can more easily learn about it.
To associate your repository with the reproducible-research topic, visit your repo's landing page and select "manage topics."