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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Using NumPy for simulations

Now let's learn how to use NumPy in a real-world scenario. Here, we will cover two examples of simulations using NumPy, and in the process, we will also learn about other operations that we can do with arrays.

Coin flips

We will look into a coin flip, or coin toss, simulation using NumPy. For this purpose, we will use the randint function that comes in the random submodule from NumPy. This function takes the low, high, and size arguments, which will be the range of random integers that we want for the output. So, in this case, we want the output to be either 0 or 1, so the value for low will be 0 and high will be 2 but not including 2. Here, the size argument will define the number of random...

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Become a Python Data Analyst
Published in: Aug 2018
Publisher: Packt
ISBN-13: 9781789531701
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