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

import numpy as np
import numpy.random as rnd

rnd.seed(2)
people = np.zeros(1000000, dtype='int')  # arthur is 0
people[490001:] = 1  # ben is 1
poll = rnd.choice(people, 1000)

polled_for_arthur = len(poll[poll == 0])

print('polled for A:', polled_for_arthur)
if polled_for_arthur > 500: 
    print('Octavius will predict the wrong winner')
else:
    print('Octavius will predict the correct winner')

## Explanation
* In line 5, we have created an array of zeros of length `1000000`. We then replace the last  `510000` zeros with `1`. 

* In line 7, we randomly choose `1000` elements from `people` using the method `choice` and store it in `poll`.

* In line 9, we compute the total number `0`s in `poll` to compute the number of people who voted for Arthur. 

* Since the number of `0`'s in `poll` turns out to be greater than 500, they misrepresent the actual outcome. 

This lesson discusses the solution review to predicting election results.

Introduction

Python Refresher

Arrays

Plotting

Systems of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Applications

Conclusion

Appendix

Python for Scientists and Engineers Exam

Solution Review: Predicting Election Results

Solution 1 #

Explanation #