Python Random Module

In this lesson we want to talk about Python Random Module, Python is high level, interpreted and general purpose programming language. it was created in the late 1980s by Guido van Rossum and was first released in 1991. Python is known for its clear and concise syntax, and it is easy to read and write. It is dynamically typed, meaning that you don’t need to declare the data type of variable before using it and supports multiple programming paradigms, including object oriented, procedural and functional programming.

Python is widely used in different types of applications, including web development, scientific computing, data analysis, artificial intelligence and many more. It is also popular language for beginners due to its simplicity and readability, making it a great choice for educational purposes.



Python Random Module

The random module in Python provides suite of functions for generating random numbers and performing other random operations. some of the commonly used functions in the random module include:

  • random.random(): Generates random float between 0.0 and 1.0.
  • random.randint(a, b): Generates random integer between a and b, inclusive.
  • random.choice(sequence): Chooses random element from the given sequence, such as a list or tuple.
  • random.shuffle(sequence): Shuffles the elements of the given sequence in place.
  • random.sample(population, k): Returns list of k unique elements randomly selected from the given population.



This is an example of using the random module to generate a random number between 1 and 6, simulating the roll of a dice:


In this example the random.randint function is used to generate a random integer between 1 and 6. the result is then printed to the console.

It’s important to note that the random numbers generated by the random module are not truly random, but are instead generated using a deterministic algorithm known as a pseudo-random number generator. For many use cases, this is sufficient, but for applications that require truly random numbers, such as cryptography, a different method may be necessary.



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