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
Jupyter
Iris dataset (or load dataset via sklearn.datasets.load_iris)
Le PHARE (desirable but not required)
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)