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The assignments in this class are in Python (version 3.6) and rely heavily on a few important libraries. These libraries are under active development, which unfortunately means that there can be some compatibility issues between versions. The information on this page describes the local environment that will mirror the one that is used during testing. A local development environment is required for the development and testing of the code that satisfies each projects’ requirements. <\/span>We strongly recommended establishing a local Linux project environment as described below<\/span><\/b>.\u00a0<\/span>\u00a0<\/span><\/p>\n Should you decide to define and use a non-Linux environment, please keep in mind that your code MUST run correctly on GradeScope, which using a Linux environment like as described below. <\/span>If your code fails to run on Gradescope, stating that \u201c<\/span><\/b>it works on my machine<\/span><\/i><\/b>\u201d is not a valid excuse and you will receive no credit.<\/span><\/b>\u00a0<\/span><\/p>\n Note: This course began using Python 3.6 in Fall 2019. Be careful to avoid using course Wiki pages, environment configuration instructions, and project templates from prior terms. Please use the material associated with this term only.<\/span><\/i>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”663a47da-552b-405b-bf2a-2d2e60162be4″ global_colors_info=”{}”]<\/p>\n While the course does not provide a local development environment, we will demonstrate how to create a local environment using Linux and a Virtual Machine in the course discussion forum.<\/span>\u00a0<\/span><\/p>\n Backups are primarily for your security, so that if something should happen that results in a loss of code (e.g., broken or stolen laptop, accidentally deleted files) you can recover your work and be up and running quickly. For example, a VM can be installed with the code from a remote backup in approximately one hour.<\/span>\u00a0<\/span><\/p>\n <\/span><\/p>\n To ensure that your local environment is compatible with the Gradescope environment that will be available for remote testing and used to execute and grade project submissions, we recommend that the local environment use the exact same library and package versions. Below is a list of each package and version number, provided in the Conda Environment format.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_code _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]REQUIREMENTS<\/span><\/b>\u00a0<\/span><\/h2>\n
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LOCAL ENVIRONMENT SETUP<\/span><\/b>\u00a0<\/span><\/h2>\n