![]() ![]() Follow the lead shown in the downloadable file levels.py shown in the section above. You are encouraged to write a small Python file to generate the result for each exercise. In each of the following exercises, obtain a printout of your result and the Python that produced the result. ![]() When you close the figure window, the file will be save and the rest of the code will be executed. If you want to see a file before it is save, uncomment the show() command for the image you'd like to see. Type the command python levels.py and all of the files used in this activity will be generated. Open a terminal window or a DOS window, then use the cd command to change to the directory in which you downloaded the file levels.m. The file levels.py is designed to be run from a terminal window or DOS window. Download the file to a directory or folder on your system. You can download the Python file at the following link. We include it here for those interested in discovering how we generated the images for this activity. Hikers and backpackers are likely to take along a copy of a topographical map when verturing into the wilderness (see Figure 1). Let's begin with a short discussion of the level curve concept. In this activity we will introduce Matplotlib's contour command, which is used to plot the level curves of a multivariable function. One of the packages included in the EPD distribution is Matplotlib, which allows the user to make 2D plots with commands that are almost identical to those used in Matlab. Once you have the EPD distribution installed, you can continue with this level curve activity. Ipython will open with the "PyLab" interface. On Mac and Linux, open a terminal window and type ipython -pylab at the prompt.Double-clicking this icon will start Ipython with the "pylab" interface. The Windows installation will put a "PyLab" icon on the desktop.Installation is a breeze it's double-click and accept the defaults. Simply visit the following URL:Īnd download the version compatible with your operating system. #PYLAB DOWNLOAD PYTHON 3.4 MAC OS#The simplest way to get a Python environment with all the packages needed for a successful scientific environment is to download (free for academics) the Enthought Python Distribution, available for Windows, Mac OS X, and Linux. #PYLAB DOWNLOAD PYTHON 3.4 SOFTWARE#This activity requires that the following software is installed on your system: ![]()
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