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

# Task
Consider an election where one million (**1,000,000**) people will vote. 

* **490,000** people will vote for Mr. Arthur 

* **510,000** people will vote for Mr. Ben. 

One day before the election, a private company, Octavius, conducts a poll among 1000 randomly chosen voters.

## Problem statement 1

Compute whether Octavius will predict the winner correctly using the approach explained above and print the answer. Voters of Arthur are identified by $0$ and those of Ben are identified by $1$.


Use the `choice` function to extract random values from the voter sample.

> <img src="/api/collection/10370001/6066104977850368/page/4580102618742784/image/6441996354846720" width="35"> Set the value of `seed` to 2.

In this exercise, you will predict election results from a sample of randomly chosen people.

Introduction

Python Refresher

Arrays

Plotting

Systems of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Applications

Conclusion

Appendix

Python for Scientists and Engineers Exam

Exercise: Predicting Election Results

Task