https://github.com/digikar99/py4cl2

Call python from Common Lisp
https://github.com/digikar99/py4cl2

common-lisp library python

Last synced: 2 months ago
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Call python from Common Lisp

• Host: GitHub
• URL: https://github.com/digikar99/py4cl2
• Owner: digikar99
• License: other
• Fork: true (bendudson/py4cl)
• Created: 2019-06-08T18:42:16.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-11T10:12:51.000Z (6 months ago)
• Last Synced: 2024-08-11T11:25:40.306Z (6 months ago)
• Topics: common-lisp, library, python
• Language: Common Lisp
• Homepage: https://digikar99.github.io/py4cl2/
• Size: 6.52 MB
• Stars: 41
• Watchers: 3
• Forks: 9
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-cl - py4cl2

README

        
>This is a fork of bendudson/py4cl.

# Github Pages

Detailed documentation is available on [github-pages](https://digikar99.github.io/py4cl2/) (could be a bit outdated).

## For MacOS Users

If you have bash 3.2 please upgrade it to a [more recent version](https://www.shell-tips.com/mac/upgrade-bash/#gsc.tab=0).

# Releases

Check the [Releases](https://github.com/digikar99/py4cl2/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).

# Contribution and PRs

Please test using [py4cl2-tests](https://github.com/digikar99/py4cl2-tests).

# Quick Demonstration



```lisp

(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](https://github.com/bendudson) for starting this project, and documenting it enough to make it more-buildable!