This is a fork of bendudson/py4cl.
Detailed documentation is available on github-pages (could be a bit outdated).
Check the Releases section. That said, if you are looking for stability, look at py4cl and not py4cl2, at least not in 2021. You may use py4cl2 on use-and-throw projects, or use it without using "edgy" features (not yet classified).
Please test using py4cl2-tests.
(ql:quickload :py4cl2 :silent t)
(py4cl2:defpymodule "numpy" nil :lisp-package "NP")
(py4cl2:defpymodule "scipy.integrate" nil :lisp-package "INTEGRATE")
;; Integrate some ODEs
(defparameter *data*
(integrate:odeint
:func (lambda (y time)
(list (aref y 1) ; dy[0]/dt = y[1]
(- (aref y 0)))) ; dy[1]/dt = -y[0]
:y-0 #(1.0 0.0) ; Initial state
:t (np:linspace :start 0.0 :stop (* 2 pi) :num 20)))
; Vector of times
; (array-dimensions *data*) => (20 2)
;; Make a plot, save and show it in a window
(py4cl2:defpymodule "matplotlib.pyplot" nil :lisp-package "PLT")
(plt:plot *data*)
(plt:xlabel :xlabel "Time")
(plt:savefig "result.pdf")
(plt:show)
Great thanks to Ben Dudson for starting this project, and documenting it enough to make it more-buildable!