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

# Importing packages
Python allows developers to group related functions into  hierarchical namespaces like packages, modules, etc.
 

When we want to use a module, class, or function from a package, we need to import it. There are many different ways to import packages. The most basic syntax is:

```python 3
import numpy
```
after which any relevant module, class or function in that package inside `numpy` can be called as `numpy.function()`. 

Some packages also have sub-packages with specialized functions. For example, the `numpy` package has a subpackage called `random`, which has a bunch of functions that deal with random variables.

`numpy` also has a sub-package `linalg`, which has a bunch of functions for linear algebra.
 

This lesson gives a brief overview of Python packages.

Introduction

Python Refresher

Arrays

Plotting

Systems of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Applications

Conclusion

Appendix

Python for Scientists and Engineers Exam

Using Python Packages

Importing packages #