Python doesn't have a built-in way to run untrusted code safely. Multiple attempts have been made, but none really succeeded.
Why? Because Python is a highly introspective object-oriented language with a mutable runtime. Core elements of the interpreter can be accessed through the object graph, frames and tracebacks, making runtime isolation difficult. This means that even aggressive restrictions can be bypassed:
# Attempt: Remove dangerous built-ins
del __builtins__.eval
При составлении карты использовались материалы Максима Дорофеева, mnogosdelal.ru
| # inspired by https://www.shadertoy.com/view/4st3DH | |
| import array | |
| import os | |
| from math import * | |
| import colorsys | |
| W, H = 640, 480 | |
| OUT_FILE = 'test_2.ppm' |
The most easiest way to share the .ipynb files without using Colab or Binder is by using Gist+nbviewer.
nbviewer helps you to share your jupyter notebooks as static sites. Follow these steps to share notebooks as url:
