Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.

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Python3

If you're a scientist or an engineer interested in learning scientific computing, this is the place to start.

In this course, you'll learn to write your own useful code to perform impactful scientific computations. Along the way, your understanding will be tested with periodic quizzes and exercises.

Topics covered in this course include arrays, plotting, linear equations, symbolic computation, scientific algorithms, and random variables. You’ll also be exposed to popular Python packages like NumPy, Matplotlib, SciPy, and others. In the last part of the course, the application section will test your ability to recall and apply the tools you have studied into newly learned scientific concepts.

At the end of this course, you'll be equipped with the tools necessary for everyday scientific computation.

Python for Scientists and Engineers

# Generating random numbers

A random number generator lets you draw a random number from a specified distribution. Several random number generators are included in the `random` subpackage of `numpy`. We will import this package as `rnd` to save some typing.

```python 3
import numpy.random as rnd
```

One of the examples for random number generators is the `randint()` function. The `randint(low, high, size)` function returns an array consisting of `size` integers, each is drawn randomly from low up to, but not including, high. 

> <img src="/api/collection/10370001/6066104977850368/page/4580102618742784/image/6441996354846720" width="35"> Use the `help('numpy.random')` command to learn about more random number generators in Python.

Suppose we flip a coin 10 times, assigning `0` to heads and  `1` to tails. We will specify high as `1 + 1`, which means it is 1 higher than the desired maximum value. So, this specific command generates an array of `0` and `1`.

Let's see how we can implement this in our code.

In this lesson, we will learn about generating random numbers and how to choose random numbers from a set of numbers. 

Introduction

Python Refresher

Arrays

Plotting

Systems of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Applications

Conclusion

Appendix

Python for Scientists and Engineers Exam

Random Numbers

Generating random numbers #