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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The "Python Machine Learning (1st edition)" book code repository and info resource
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
The "Python Machine Learning (2nd edition)" book code repository and info resource
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Source code for the book, Math for Programmers
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Advanced Data Structures Implementation
A framework for hydrodynamics explorations and prototyping
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
Files for the Python Workout book
Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
The data science project used in my Datacamp course Unit Testing for Data Science in Python
This repository contains sample codes of "Learning Computational Fluid Dynamics in Python".
Solves RANS-equations for fully developed turbulent channel flow with variable properties
Hands-on practice of machine learning algorithms.
A Jupyter/python-based introduction to writing a finite-volume hydro code
PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.
Direct Numerical Simulation of an incompressible turbulent channel flow with two dimensional parallelization
Multigrid Methods - An Overview, A lecture series at Imperial College
Computational Fluid Dynamics in Python