![]() ![]() Upgrading in Canopy can be done as follows: For this course we will be using PySAL 1.10. Note that the Academic version of Canopy comes with PySAL version 1.7. When you are done working in this environment, you can get back to your default environment with: conda create -n pysal110 scipy matplotlib jupyter ipython pandas ipywidgets.If you already have Anaconda installed and you did not want to modify your default environment, you can create a custom conda environment for this session using the following commands: Open a terminal (Mac or Linux) or Powershell (Windows).Both of these distributions also allow for installation of additional dependencies. Moreover, both allow for updating PySAL to the most recent release (1.10 released July 31, 2015) which is more current that what is listed in either distribution. These have the advantages of including most of the dependencies for PySAL as well as PySAL itself. For the course, if you do not yet have the dependencies installed we suggest using one of two scientific Python distributions (below). ![]() There are a number of ways to install PySAL and these dependencies. For the course we will require the following packages be installed
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