Software/Catalogs

It is highly recommended that the participants have the following software/catalogs installed/downloaded in their laptops to be able to work in the hands-on sessions:

Anaconda

California Housing dataset 1

California Housing dataset 2

Corrfunc installation

Cosmology Class

GALANTE Class

GALFITM

Galaxies Morphologies Class

Jupyter

Installation Guide

Iris dataset (or load dataset via sklearn.datasets.load_iris)

Le PHARE (desirable but not required)

MNIST dataset

PyCharm

Python 3

Python Libraries
astropy
bagpipes documentation (you don’t have to install the multinest and pymultinest libraries, only the basic BAGPIPES)
h5py
matplotlib
numpy
pandas
scipy
seaborn
sklearn
tensorflow v2
time

S-PLUS data (galaxies, stars, quasars)

TopCat

 

Quasars Hands-On Session