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Paramesh4 code adapted for use in Flash-X
Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis
POSYDON is a next-generation single and binary-star population synthesis code incorporating full stellar structure and evolution modeling with the use of MESA.
Collection of Jupyter Notebooks created for a lecture on Data Analysis and Machine Learning (Statistische Methoden der Datenanalyse)
Introduction to scientific Python as presented at several schools, workshops and conferences
Minimum setup to reproduce the lab website for Bill Wolf's 2022 MESA Summer School lab on recurrent novae and steady burning.
Basic example of programming as used in astronomy research
Collection of Google App scripts that I've created
Machine learning, statistics, and data mining for astronomy and astrophysics
Public repository for course materials for the Data Science at Scale Specialization at Coursera
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
iPython Notebooks showing off NumPy, matplotlib, and our universe
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
sux13 / courses
Forked from bcaffo/coursesCourse materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Software and datasets for the astrostatistics workshop portion of the Local Group Astrostatistics Conference 2015
Materials for the Wednesday Afternoon Machine Learning workshop
Python scripts to plot and handle stellar spectra
bcaffo / courses
Forked from DataScienceSpecialization/coursesCourse materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Materials for my scikit-learn tutorial
Observation planning package for astronomers – maintainer @bmorris3
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
A set of notes on star formation
Investigation of the interaction between stellar and dark-matter streams
Lecture content for UW Software Engineering for Data Scientists
Notebooks for Course
Tutorials and information on the Julia language for MIT numerical-computation courses.
This is the website for AST502 at the University of Arizona, Fall 2017