008_Python_Function_random_Module.ipynb

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    "<small><small><i>\n",
    "All the IPython Notebooks in **Python Functions** lecture series by Dr. Milaan Parmar are available @ **[GitHub](https://github.com/milaan9/04_Python_Functions)**\n",
    "</i></small></small>"
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    "# Python Random Module\n",
    "\n",
    "You can generate random numbers in Python by using random module.\n",
    "\n",
    "Python offers **`random`** module that can generate random numbers.\n",
    "\n",
    "These are pseudo-random number as the sequence of number generated depends on the seed.\n",
    "\n",
    "If the seeding value is same, the sequence will be the same. For example, if you use 2 as the seeding value, you will always see the following sequence."
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      "0.9560342718892494\n",
      "0.9478274870593494\n",
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    "import random\n",
    "random.seed(2)\n",
    "\n",
    "print(random.random())\n",
    "print(random.random())\n",
    "print(random.random())"
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    "**Not so random eh?** Since this generator is completely deterministic, it must not be used for encryption purpose.\n",
    "\n",
    "Here is the list of all the functions defined in random module with a brief explanation of what they do.\n",
    "\n",
    "**List of Functions in Python Random Module**\n",
    "\n",
    "| Function | Description |\n",
    "|:----| :--- |\n",
    "| **`seed(a=None, version=2)`** | Initialize the random number generator | \n",
    "| **`getstate()`** | Returns an object capturing the current internal state of the generator | \n",
    "| **`setstate(state)`** | Restores the internal state of the generator | \n",
    "| **`getrandbits(k)`** | Returns a Python integer with k random bits | \n",
    "| **`randrange(start, stop[, step])`** | Returns a random integer from the range | \n",
    "| **`randint(a, b)`** | Returns a random integer between a and b inclusive | \n",
    "| **`choice(seq)`** | Return a random element from the non-empty sequence | \n",
    "| **`shuffle(seq)`** | Shuffle the sequence | \n",
    "| **`sample(population, k)`** | Return a k length list of unique elements chosen from the population sequence | \n",
    "| **`random()`** | Return the next random floating point number in the range [0.0, 1.0] | \n",
    "| **`uniform(a, b)`** | Return a random floating point number between a and b inclusive | \n",
    "| **`triangular(low, high, mode)`** | Return a random floating point number between low and high, with the specified mode between those bounds | \n",
    "| **`betavariate(alpha, beta)`** | Beta distribution | \n",
    "| **`expovariate(lambd)`** | Exponential distribution | \n",
    "| **`gammavariate(alpha, beta)`** | Gamma distribution | \n",
    "| **`gauss(mu, sigma)`** | Gaussian distribution | \n",
    "| **`lognormvariate(mu, sigma)`** | Log normal distribution | \n",
    "| **`normalvariate(mu, sigma)`** | Normal distribution | \n",
    "| **`vonmisesvariate(mu, kappa)`** | Vonmises distribution | \n",
    "| **`paretovariate(alpha)`** | Pareto distribution | \n",
    "| **`weibullvariate(alpha, beta)`** | Weibull distribution | "
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    "Visit this page to learn more on **[how you can generate pseudo-random numbers in Python](https://docs.python.org/3/library/random.html)**."
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