2- Poisson solvers - trees - fixed and adaptive grids - parallelization

3- Setting up equilibrium models - choosing from a DF, Jeans equations and their limitations - disk-bulge-halo models

4- Analysis "on the fly" - code testing - made-to-measure

5- SPH basics - numerical viscosity - Kelvin-Helmholtz instabilities - other problems and their amelioration

Pandas is an open source Python package that is widely used for data analysis. It is a powerful ally for data munging/wrangling and databases manipulation...

This talk will present an overview of what Latex is, discuss when to use it and when not, show installing and editing options, introduce classes and packages...

We will introduce several ways in which trivially embarrassingly parallel tasks can be run in laptops and desktops. We will introduce command-line tools such as...

Containers are portable environments that package up code and all its dependencies so that an application can run quickly and reliably from one computing...

Did you ever want to re-run your project from the beginning, but run into trouble because you forgot one step? Do you want to run just one part of your project...