The examples on this page show how object-oriented concepts can be implemented in a number of languages.

Note that one can do object-oriented programming in any language. But while some languages allow it, other languages support it with a nicer syntax and language support to make it easier. Specific details on how this is done in each language is included with the examples.

In many cases, minimal support to the base language was added (by the language designers) to support object-oriented programming.

The running example here is that of pseudo random number generation using a class/object.

Modern (and traditional) computer/information science has many nondeterministic/probabilistic algorithms and data structures and has many connections with traditional (and Bayesian) statistics.

Python has support for object-oriented programming. Here is the Python code [#1]
import random class Twister(): def __init__(self): pass def init(self, seed1): self.seed1 = seed1 random.seed(seed1) def next(self): return random.random() def twisterTest1(): seed1 = 1234 n1 = 8 i1 = 0 twister1 = Twister() twister1.init(seed1) while i1 != n1: i1 += 1 r1 = twister1.next() print("\t{0:d}. {1:5.4f}".format(i1,r1)) print("(begin main)") twisterTest1() print("(end main)")
Here is the output of the Python code.
(begin main) 1. 0.9665 2. 0.4407 3. 0.0075 4. 0.9110 5. 0.9393 6. 0.5822 7. 0.6716 8. 0.0839 (end main)