

Mac: A version of Python 3 comes installed with mac osx, but I recommend doing a separate installation in order to not interfere with the system.
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If you want to keep your install of Python and any modules you work with for the class separate from your OS's native Python, I recommend either using a sandbox distribution release like Enthought Canopy (above), or use Python virtualenv (Here's a good place to start to learn about virtualenv).

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Once installed, us the Package Manager to update to the latest versions of the Enthought release of included python modules. These also include a package manager and IDE): Installing these puts the entire python installation, with a large set of pre-packaged modules (includes numpy, scipy, matplotlib), into a stand-alone sandbox, completely independent of any other python environment on your machine. The following are cross-platform (Mac, Linux, Windows). Approach I: Use a pre-packaged, sandboxed distribution:.

There are two general approaches for setting up a python environment. Plotting/graphing, intentionally close to Matlab's plotting facility.īrowse the matplotlib gallery for example code. Python library for mathematical computing.īuilds on NumPy with additional scientific computing facilities. In the following, $ is used to indicate a unix-flavor command-line.īrief Python and Unix tutorial Required modules: If you wish to use Python 2.7, you may, but you are solely responsible for making any needed changes to the released project code, and you must clearly indicate that you are using Python 2.7 we will otherwise assume it is Python 3, and if the code does not run we will not grade it. For those who have primarily used Python 2 in the past, this page discusses transitioning from Python 2 to 3.Īt the level we are using Python in this course, the differences between Python 2.7 and 3 are small. Programming project assignments will be developed to run in python 3.6.x.
