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
In this exercise, you will plot the average monthly temperature of land and sea for Seattle.

## Problem statement

The average temperatures for land and sea are given in the arrays `land_temp` and `sea_temp`.

* Create one plot with two graphs above each other using the subplot command. 

* On the top graph, plot the land and sea temperatures. Label the ticks on the horizontal axis as `jan`, `feb`, `mar`, `apr`...

* On the bottom graph, plot the difference between land and sea temperature. 

* Add legends and axes labels to make your graph more readable.

> <img src="/api/collection/10370001/6066104977850368/page/4580102618742784/image/6441996354846720" width="35"> Don't forget to use `savefig(output/filename.png)` to save and view the graph.



In this lesson, you will be plotting the sea and land temperatures of Seattle.

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: Plotting Temperatures

Task #

Problem