Julia has to some degree already cemented itself in the scientific community, and will most likely continue to expand in the coming years. It aims at taking the middle ground between Python on one side, and Fortran and C++ on the other. In this notebook we offer a quick introduction for those who wish to venture from Python to Julia.
magnetism, spin, monte carlo, fortran, f2py, metropolis, equilibrium, autocorrelation, ising
Using the Metropolis algorithm to approximate the magnetization and specific heat for a 2D Ising lattice.
electricity, fortran, trapezoidal method
Making use of the Fortran to Python package F2PY which enables creating and compiling a Fortran routine before converting it to a Python Module, which can be imported to any Python script.