There are 0 repository under jupyter-book topic.
:closed_book: Clarity in the current fast-paced mess of Open Source innovation
Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
đ Pytest plugin for testing notebooks
Cookiecutter template for a simple jupyter book
Use MyST Markdown directly in Jupyter Lab
Online, interactive edition of the "Simply Logical" Prolog textbook
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.
Python-Fortran bindings examples
Scientific Computing with Python for beginners.
A book containing step by step instructions to train deep learning models for a variety of tasks
Show and hide content with a button in Sphinx
A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.
Supporting LaTeX infrastructure for Jupyter Book
Hands-on tutorials, exercises, and projects to accompany the No Bullshit Guide to Statistics
A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers â ICLR 2021 Workshop.
A short course on network data science at Johns Hopkins University
Computational Methods Course at UdeA. Forked and size reduced from:
Work in progress - Objective is to develop a comprehensive textbook on finite difference computing with Devito
Course on Open Quantum Systems with Qiskit
Interactive Jupyter Book for wrangling, visualizing, and analyzing ICESat-2 sea ice thickness data
Jupyter Book source files for MSD summer research internship.
Jupyter Book source files for 2022 MSD summer research internship.
Notes de cours pour PSY3018 - MĂ©thodes en neurosciences cognitives
Guide de bonnes pratiques sur les données de la recherche
Python for Neuroscientists course textbook
A Jupyter Book (v0.6.4) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and second author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourierâdomain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
Vivacious terminal windows for Jupyter Book and Sphinx.
Template for running Julia code in Jupyter Book
Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.