astrojuan Goto Github PK

2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

3ml

The Multi-Mission Maximum Likelihood framework (3ML)

algorithm-exercise

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

astroabc

Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.

astropy

Repository for the Astropy core package

astropy-workshop

Materials for Astropy Workshops

bamr

Bayesian Analysis of Neutron Star Mass and Radius Observations

bayesianastronomy

Bayesian Methods in Astronomy workshop, presented at AAS227

bayespsd

Bayesian power spectral analysis tools

bender

Radiation from rapidly rotating oblate neutron stars

chiantipy

ChiantiPy is a python package to calculate the radiative properties of astrophysical plasmas based on the CHIANTI atomic database

cubature

Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

fermitools-conda

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

goodrich

The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser

hedp

A python module to analyse HED experiments and hydrodynamic simulations.

hendrics

Shell scripts for spectral-timing analysis of X-ray astronomical data.

julia-100-exercises

julia version of 100 numpy exercises

jupyter-book

Create beautiful, publication-quality books and documents from computational content.

matlab-speech

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

maxij1535_qpo

Analysis software and processed data products for Stevens et al. 2018, ApJL, 865, L15.

mcphac

The McGill Planar Hydrogen Atmosphere Code

moog14scat

MOOG 2014 version with scattering

mywiki

:books:收集整理日常发现的好资源、前端资源汇总

naima

Derivation of non-thermal particle distributions through MCMC spectral fitting