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2daycourse

My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

automation

Automation with Python (Excel, scripts, etc)

bayesiandifferentiableprogramming

code_snippets

computational-physics

Programs of exercises to accompany "Computational Physics" by N. Giordano and H. Nakanishi

data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

Code for Nature energy manuscript

direct

Digital Reservoir Characterization Technology Consortium, UT Austin

excelnumericaldemos

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

facies-classification-machine-learning

fastai

The fastai deep learning library

fastbook

The fastai book, published as Jupyter Notebooks

geodatasets

Synthetic datasets for geoscience (geo)statistical modeling

geostatistics

Geostats

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

geostatspy_intro_course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

gptutorial

A hands-on tutorial on supervised learning with Gaussian processes

lascheck

Python library for checking conformity of Log ASCII Standard (LAS) files to standards

lasio

Python library for reading and writing well data using Log ASCII Standard (LAS) files

mltrainingimages

Machine learning training images.

multiscalepinns

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numericalgp

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

pde_gp

Machine learning of linear differential equations using Gaussian processes

petrophysics-python-series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

petropy

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-3-object-oriented-programming-third-edition

Python 3 Object-Oriented Programming – Third Edition, published by Packt

python-data-analysis-third-edition

Python Data Analysis, Third Edition, Published by Packt