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:<\/p>\n
Anaconda<\/strong><\/p>\n California Housing dataset 1<\/a><\/p>\n California Housing dataset 2<\/a><\/p>\n Corrfunc<\/a> installation<\/a><\/p>\n Cosmology Class<\/a><\/p>\n GALANTE Class<\/a><\/p>\n GALFITM<\/a><\/p>\n Galaxies Morphologies Class<\/a><\/p>\n Jupyter<\/strong><\/p>\n Installation Guide<\/a><\/p>\n Iris dataset<\/a> (or load dataset via sklearn.datasets.load_iris)<\/p>\n Le PHARE<\/a> (desirable but not required)<\/p>\n MNIST dataset<\/a><\/p>\n PyCharm<\/strong><\/p>\n Python 3<\/strong><\/p>\n Python Libraries<\/strong> S-PLUS data (galaxies, stars, quasars)<\/a><\/p>\n
\nastropy
\nbagpipes<\/a> documentation<\/a> (you don’t have to install the multinest and pymultinest libraries, only the basic BAGPIPES)
\nh5py
\nmatplotlib
\nnumpy
\npandas
\nscipy
\nseaborn
\nsklearn
\ntensorflow v2
\ntime<\/p>\n