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.
Python Programming for Economics and Finance
IntroPy: an introductory Python & PsychoPy course
Make Use of Data: Data Science Notes
Mathematik für Physikstudierende C
Basics of Image Processing
Solving Partial Differential Equations
10 Lectures on Inverse Problems and Imaging
Computational and Inferential Thinking
Introduction to Materials Informatics
PmagPy: An open source package for paleomagnetic data analysis
Callysto Curriculum Notebooks
Python For Data Science
Network Data Science
Continuous Time Markov Chains
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
Chainladder - Actuarial Reserving in Python
ML-AI Guide
DartBrains
An Introduction to Applied Bioinformatics
Introduction to Bioimage Analysis
Introduction to Economic Modeling and Data Science
CCD Data Reduction Guide
Apuntes del Curso Introducción a Big Data
Explaining neural networks in raw Python
Applying Maths in the Chemical and Biomolecular Sciences
Epidemic modelling: Some notes, maths, and code
NI-edu: fMRI analysis in Python
The Good Research Code handbook
Development Data Partnership
Quantitative Economics with Python
The FAIR Cookbook
Hands-on Network Machine Learning with Scikit-Learn and Graspologic
Deep Learning for Molecules and Materials
Guide de bonnes pratiques sur les données de la recherche
Coding for Economists
Scientific Computing for Chemists
Inefficient Networks: Notebooks on MLOps and ML Engineering
genome-sampler Software Documentation
Simply Logical – Intelligent Reasoning by Example
Open Source in Environmental Sustainability
Argo Online School
pyhf User Guide and Tutorial
An interactive meta-analysis of MRI biomarkers of myelin
PyTorch를 활용한 딥러닝 튜토리얼 (Deep Learning Tutorials with PyTorch)
The Data-Sitters Club
HPX - The C++ Standard Library for Concurrency and Parallelism
Quality Assurance of Code for Analysis and Research
MalariaGEN Vector Data User Guide
Advanced Quantitative Economics with Python
TensorDiffEq Documentation
The Turing Way: A guide to reproducible, ethical, inclusive and collaborative data science
Security Reference Architecture
Foundations of Data Science with Python
VisDepot: An Introductory Resource for Data Visualization
Intro to Cultural Analytics
Python 101
Exploratory Data Visualization with Altair
Machine Learning for Credit Card Fraud Detection
Environmental Data Science Book
Enhancing Science Courses by Integrating Python (ESCIP)
PyMedPhys: Supporting Medical Physicists in making radiotherapy cancer treatment safer
The Data Science Interview Book
Computational Mechanics
Data Science for Finance
Geographic Data Science with Python
Prodigious Python - Quest for the fun filled adventure of Python
PVSC pvlib python Tutorial
OpenPifPaf Guide
Introducción a la ciencia de datos
Python Coding for Public Policy
Learn Python Programming
UW Data Visualization Curriculum
Primer on Statistics
ALLCools - single-cell DNA Methylome Analysis Package
Computational Thermodynamics
Introduction à la PROgrammation Scientifique
Graph Pandas
Algorithms for Automated Driving
Jupyter Guide to Linear Algebra
eChem: Computational Chemistry from Laptop to HPC
Classifying 19th Century British Library books using Crowdsourcing and Machine Learning
Computational Discovery on Jupyter
Neuroimaging Analysis Methods for Naturalistic Data
Programming Differential Privacy
Topology in condensed matter: tying quantum knots
Earth and Environmental Data Science
MAT244E Statistics
NiMARE: Neuroimaging Meta-Analysis Research Environment
Statistics and Data Science
Python Packages
Pythia Foundations – A community learning resource for Python-based computing in the geosciences
Deep Learning for Particle Physicists
단국대 2020 캐글 뽀개기 (DKU Kaggle Class)
Data Science Process using CRISP-DM
Neural Process Family
Computational Models of Human Social Behavior & Neuroscience
Machine Learning, Statistics, and Data Mining for Heliophysics
Practical Guide to Climate Econometrics
Scikit-learn course