Binomial distribution in python

**tutorial: binomial distribution in python**

the binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent bernoulli trials (experiments with only two outcomes - success or failure), with a constant probability of success.

**step 1: import necessary libraries**

**step 2: define the parameters**
- `n`: number of trials
- `p`: probability of success in each trial

**step 3: calculate the probability mass function (pmf)**
the pmf gives the probability of obtaining `k` successes in `n` trials.

**step 4: calculate the cumulative density function (cdf)**
the cdf gives the probability of obtaining at most `k` successes in `n` trials.

**step 5: generate random numbers following the binomial distribution**
you can generate random numbers that follow the binomial distribution using the `rvs` function.

**code example:**

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