Difference between revisions of "Very simple Python"

From AstroEd

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[ Enthought Scientific Computing Solutions]
[ Enthought Scientific Computing Solutions]
[  Enthought Academic License]
Alternatively, the source of Python development has versions for MacOS and Windows of the base system that avoids the commercial (though free) route of other vendors:
Alternatively, the source of Python development has versions for MacOS and Windows of the base system that avoids the commercial (though free) route of other vendors:

Revision as of 13:42, 10 January 2017

In this section of our short course on Python for Physics and Astronomy we take a short path to using Python easily.

Installing Python on your computer

Python is open source software availble for free from Version 2.7 is the current mature version that is widely supportly by other add-on modules, and is the one for which examples here are written. Python 3 is still under development and it currently lacks packages that are necessary for astronomy.

If you have Linux, then mostly likely you already have Python and you skip down to try use it. You may need to use your package manager to augment the default installation with modules for Scipy and Numpy, but that's simple to do and will work without difficulty.

For other operating systems, consider using the academic version from Enthought Solutions if you meet their licensing terms for the free version. This version supplies Matplotlib, Numpy and Scipy which we will use. If you do use Enthought's distribution, consider requesting a free academic license using your University email address. This will provide you with a fully-featured installation.

Enthought Scientific Computing Solutions

Enthought Academic License

Alternatively, the source of Python development has versions for MacOS and Windows of the base system that avoids the commercial (though free) route of other vendors:

Using Python's own distribution has the advantage of simplicity and access to all of Python without a third party in the way. It may require some knowledge of your computer's operating system, and confidence you can manage the inevitable issues that will arise.

The MacOS has both its own proprietary features, and an underlying core operating system based on BSD Unix that is very similar to Linux for the users. This structure allows you to install your own package manager, and with that to have more control on how software like Python is handled. One such system is macports. With it you would use a terminal on you machine and then in that terminal run

 sudo port install python27 py27-matplotlib py27-numpy py27-scipy py27-ipython py27-pyfits

to install Python 2.7 and

 sudo port select --set python python27
 sudo port select --set ipython ipython 27

to make it available as with the command "python". IPython is a development environment that is useful for graphics.

Those with an astronomical interest may benefit from Python4Astronomers

Most users would probably prefer running Python through the IDLE IDE, the development interface that comes with many installations. (It's named after Eric Idle, who does the "Galaxy Song" in Monty Python.) On the command line you would simple run "idle" to get started. The software includes an editor and also a runtime environment.

Additional modules would have to be installed separately later.

Using Python in real time

The first step is to figure out how to start up Python on your computer after it is installed. In Linux you open a console and type "python" on the command line. You'll immediately see a prompt that looks like ">>" after which you can type Python code and see the results.

If you installed the Enthought distribution of Python on Windows or Mac, take a look at their release notes and website for additional advice on getting started.

If you installed from the, then they have some additional pages to offer help. On Windows, its not necessarily as straightforward as Linux, but it can be. It will help to read this "frequently asked question" (FAQ) page about Python on Windows to help you at first, and also consult setup and usage guide. On a Macintosh OS X system using Python is very similar to other Unix platforms like Linux or BSD. There are some helpful notes at the Using Python on a Macintosh website.

Once you have a command line prompt you have access to all of Python's capabilities. We'll show you some simple examples here to test your installation and give you a quick sense of how to use it.

To exit Python in the interactive mode, use "Ctrl+d" or "exit()" from the command line, or the Exit menu entry if you are running IDLE.

Using Python code as a standalone program

You will usually edit a file that contains your Python program and then run that program by calling the Python interpreter. Therefore, the first thing is to pick an appropriate editor. One way is to use IDLE, which makes it especially easy on Windows systems and others to edit and test with a consistent interface. On Linux systems where the command line is more commonly used, an alternative is a standard graphical editor that is aware of Python syntax like gedit. Other alternatives are nedit and emacs. Python text files have a required format, and it generally not a good idea to embed tabs in the text so the tab function has to be set for spaces instead. On MacOS your could try emacs, BBEdit, or another one of your preferred editors. The Python website maintains a list of editors and their features for different operating systems with links to the editor websites if you need to download one.

For example, if your program is in the file "" you can run it from the command line with "python". On Windows systems, the file extension ".py" may be associated with this command, and in that case you can start a program by clicking on the icon or name in a window. On MacOS and Linux, you would first make the file executable with a command such as

 chmod a+x

and also see that the first line of the file is exactly


assuming that python is installed in /usr/bin/. With those changes, any file of Python code becomes an executable program. Simply type

Note that programs that interact with the window manager may need to be started with pythonw instead of python. For MacOS, see 4.1.1 How to run a Python script.

Examples of very simple Python

For examples of Python illustrating how to use it interactively and to write very simple programs, see the section Python examples.

An assignment to try out very simple Python

For the assigned homework to use very simple Python interactively and as a script, see the section Python assignments.