jupyter-book
There are 126 repositories under jupyter-book topic.
premAI-io/state-of-open-source-ai
:closed_book: Clarity in the current fast-paced mess of Open Source innovation
py-pkgs/py-pkgs
Open source book about making Python packages.
melaniewalsh/Intro-Cultural-Analytics
Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
treebeardtech/nbmake
📝 Pytest plugin for testing notebooks
jupyter-book/jupyterlab-myst
Use MyST Markdown directly in Jupyter Lab
executablebooks/cookiecutter-jupyter-book
Cookiecutter template for a simple jupyter book
simply-logical/simply-logical
Online, interactive edition of the "Simply Logical" Prolog textbook
wyattowalsh/data-science-notes
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
edgarsmdn/MLCE_book
Hands-on material for a Machine Learning in Chemical Engineering course
JesperDramsch/ml.recipes
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.
cds-astro/tutorials
Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
pnavaro/python-notebooks
Scientific Computing with Python for beginners.
pnavaro/python-fortran
Python-Fortran bindings examples
pnavaro/big-data
Python tools for big data
executablebooks/sphinx-togglebutton
Show and hide content with a button in Sphinx
bipinKrishnan/ml-recipe-book
A book containing step by step instructions to train deep learning models for a variety of tasks
atrisovic/weather-panel.github.io
A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.
Dyalog/MDAPL
The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.
minireference/noBSstats
Hands-on tutorials, exercises, and projects to accompany the No Bullshit Guide to Statistics
executablebooks/sphinx-jupyterbook-latex
Supporting LaTeX infrastructure for Jupyter Book
bdpedigo/networks-course
A short course on network data science at Johns Hopkins University
So-Cool/you-only-write-thrice
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 – ICLR 2021 Workshop.
matteoacrossi/oqs-jupyterbook
Course on Open Quantum Systems with Qiskit
nicolejkeeney/icesat2-book
Interactive Jupyter Book for wrangling, visualizing, and analyzing ICESat-2 sea ice thickness data
restrepo/ComputationalMethods
Computational Methods Course at UdeA. Forked and size reduced from:
devitocodes/devito_book
Work in progress - Objective is to develop a comprehensive textbook on finite difference computing with Devito
enze-chen/mi-book-2021
Jupyter Book source files for MSD summer research internship.
xinetzone/mini-book
Explore World
enze-chen/mi-book-2022
Jupyter Book source files for 2022 MSD summer research internship.
sagol-python-for-neuroscientists/textbook-public
Python for Neuroscientists course textbook
zelenkastiot/PhaseUnwrapping_book
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 Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
methodes-cogneuro/methodes-cogneuro.github.io
Notes de cours pour PSY3018 - Méthodes en neurosciences cognitives
miti-gt-donnees/guide
Guide de bonnes pratiques sur les données de la recherche
zelenkastiot/brownian
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.
daobook/jupyter-book-zh
翻译了大量 Jupyter Book 文档。为了与官方保持一致，重新开了新的项目：@daobook/jupyter-book
So-Cool/sphinx-term
Vivacious terminal windows for Jupyter Book and Sphinx.