Before we start the course about scientific computing with Python, we shall tell what are hardware and software requirements.

For that, we shall focus on Anacuda, the distribution of Python dedicated to scientific computing.

But what is Python? Python is a high-level interpreted generalist language.

It is distributed for free, with many existing libraries, that are the packages, including NumPy for scientific computing, and MatPlotlib for graphics.

And what is Anaconda? It is a distribution of Python for Windows, macOS or Linux.

It is dedicated to scientific computing.

It has many applications included.

In particular, the development environment Spyder.

With many packages included.

In particular NumPy and MatPlotlib. It is available for free under the following URL.

But let's see together how to do it concretely.

We are under the link Anaconda AI Navigator.

Then we go downward.

And you can choose to download Windows, Mac, or Linux.

I don't do it because I already have it downloaded.

And in the applications window, I double-click AnacondaNavigator.app.

And I click on Spyder to have the editor. And I have an editor to make scripts, and the console.

And on the console I type: print, into parentheses, into quotes, 'Hello World'.

(print)

And it types 'Hello World'.

So, are you ready for the course? Scientific computing with Python, the basics.