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6_thevisualroom

academia

A responsive theme for Pelican-generated websites

aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

assignment-bank

Contribute alternative assignments for Numerical Methods with Python

assignment-bank-2015

For submission of class projects at GW, Fall 2015

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bridson-algorithm

An implementation of Robert Bridson's algorithm for fast Poisson disk sampling.

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

cookbook-2nd-data

Data of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

cookbook-code

[DEPRECATED] See the new edition:

cookbook-data

[DEPRECATED] See the new edition:

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

fmm_tutorial

A step-by-step introduction to treecode.

fourier-transform

A jupyter notebook with some stuff on the FT

ipython-books.github.io

IPython books website, by Cyrille Rossant

ipython-notebooks

A collection of IPython notebooks covering various topics.

ipython-website

IPython website sources. Any fixes to the website should be done on this repository.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lectures

Notes, slides, and code from the in-class lectures.

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)

minibook-2nd-data

Datasets used in the IPython Minibook, 2nd edition (2015)

minibook-code

[DEPRECATED]

molecular-dynamics-lennard-jones

numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.