Gallery of Jupyter Books
Gallery of Jupyter Books#
This is a gallery of Jupyter Books built from across the community.
If you’d like to add your book to this list, simply add an entry to this gallery.yml
file and open a Pull Request to add it.
Introduction to Bioimage Analysis

VisDepot: An Introductory Resource for Data Visualization

UW Data Visualization Curriculum

DartBrains

Computational Models of Human Social Behavior & Neuroscience

pyhf User Guide and Tutorial

Graph Pandas

PyTorch를 활용한 딥러닝 튜토리얼 (Deep Learning Tutorials with PyTorch)

Introduction à la PROgrammation Scientifique

Statistics and Data Science
PVSC pvlib python Tutorial

Inefficient Networks: Notebooks on MLOps and ML Engineering

Enhancing Science Courses by Integrating Python (ESCIP)

Practical Guide to Climate Econometrics

NiMARE: Neuroimaging Meta-Analysis Research Environment

Simply Logical – Intelligent Reasoning by Example
Data Science Process using CRISP-DM

Make Use of Data: Data Science Notes

Neuroimaging Analysis Methods for Naturalistic Data

Python Programming for Economics and Finance

Introducción a la ciencia de datos

The Good Research Code handbook

genome-sampler Software Documentation
Network Data Science

IntroPy: an introductory Python & PsychoPy course

Explaining neural networks in raw Python

Intro to Cultural Analytics
PmagPy: An open source package for paleomagnetic data analysis

Computational Thermodynamics

Topology in condensed matter: tying quantum knots

Environmental Data Science Book

Data Science for Finance

Basics of Image Processing
The FAIR Cookbook

Callysto Curriculum Notebooks

MAT244E Statistics

Applying Maths in the Chemical and Biomolecular Sciences

Prodigious Python - Quest for the fun filled adventure of Python

OpenPifPaf Guide

CCD Data Reduction Guide

PyMedPhys: Supporting Medical Physicists in making radiotherapy cancer treatment safer
Development Data Partnership

ALLCools - single-cell DNA Methylome Analysis Package

Python 101

Classifying 19th Century British Library books using Crowdsourcing and Machine Learning

Exploratory Data Visualization with Altair

Music Classification: Beyond Supervised Learning, Towards Real-world Applications

Neural Process Family

NI-edu: fMRI analysis in Python

Guide de bonnes pratiques sur les données de la recherche

MalariaGEN Vector Data User Guide

An interactive meta-analysis of MRI biomarkers of myelin

Quantitative Economics with Python

Machine Learning, Statistics, and Data Mining for Heliophysics

Python For Data Science

ML-AI Guide

Hands-on Network Machine Learning with Scikit-Learn and Graspologic

Argo Online School

Advanced Quantitative Economics with Python

Jupyter Guide to Linear Algebra

Python Coding for Public Policy

The Turing Way: A guide to reproducible, ethical, inclusive and collaborative data science

Open Source in Environmental Sustainability

Introduction to Economic Modeling and Data Science

TensorDiffEq Documentation

Deep Learning for Molecules and Materials

Pythia Foundations – A community learning resource for Python-based computing in the geosciences
단국대 2020 캐글 뽀개기 (DKU Kaggle Class)

Scikit-learn course

Primer on Statistics

10 Lectures on Inverse Problems and Imaging

eChem: Computational Chemistry from Laptop to HPC

The Data Science Interview Book

Security Reference Architecture

Learn Python Programming

Deep Learning for Particle Physicists

Mathematik für Physikstudierende C
Computational Discovery on Jupyter

Continuous Time Markov Chains

Chainladder - Actuarial Reserving in Python

Python Packages

Computational Mechanics
The Data-Sitters Club

Introduction to Materials Informatics

Geographic Data Science with Python

Apuntes del Curso Introducción a Big Data

Coding for Economists

CVE.icu

Foundations of Data Science with Python

Programming Differential Privacy

Machine Learning for Credit Card Fraud Detection

Solving Partial Differential Equations

HPX - The C++ Standard Library for Concurrency and Parallelism

Epidemic modelling: Some notes, maths, and code

Scientific Computing for Chemists
Computational and Inferential Thinking

Algorithms for Automated Driving

Quality Assurance of Code for Analysis and Research
An Introduction to Applied Bioinformatics

Earth and Environmental Data Science
