{"id":19645012,"url":"https://github.com/quantecon/gc_cuny_workshop_2019","last_synced_at":"2025-06-25T16:03:47.742Z","repository":{"id":68508929,"uuid":"186284440","full_name":"QuantEcon/GC_CUNY_workshop_2019","owner":"QuantEcon","description":"Notebooks for introduction to using Python for economics","archived":false,"fork":false,"pushed_at":"2019-05-13T15:38:47.000Z","size":390,"stargazers_count":2,"open_issues_count":0,"forks_count":7,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-04-28T11:21:31.721Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/QuantEcon.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null},"funding":{"github":"numfocus","custom":"https://numfocus.org/donate-to-quantecon"}},"created_at":"2019-05-12T17:31:50.000Z","updated_at":"2019-10-21T02:47:32.000Z","dependencies_parsed_at":"2023-09-17T20:15:20.664Z","dependency_job_id":null,"html_url":"https://github.com/QuantEcon/GC_CUNY_workshop_2019","commit_stats":{"total_commits":4,"total_committers":1,"mean_commits":4.0,"dds":0.0,"last_synced_commit":"a01527391584b4ce97ceb44840537fa0e22e8288"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2FGC_CUNY_workshop_2019","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2FGC_CUNY_workshop_2019/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2FGC_CUNY_workshop_2019/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2FGC_CUNY_workshop_2019/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/QuantEcon","download_url":"https://codeload.github.com/QuantEcon/GC_CUNY_workshop_2019/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251330477,"owners_count":21572290,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-11T14:31:36.927Z","updated_at":"2025-04-28T14:32:31.768Z","avatar_url":"https://github.com/QuantEcon.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/numfocus","https://numfocus.org/donate-to-quantecon"],"categories":[],"sub_categories":[],"readme":"# GC_CUNY_workshop_2019\n\nMaterials for a 2 hour introduction to using Python for economics hosted for\nstudents at the Graduate Center CUNY.\n\n### Goals\n\nIn this workshop, we will not have time to help participants reach a high\nlevel of profiency in using Python, instead, our goal is to\n\n1. Give a brief introduction to Python and familiarize participants with the language syntax\n2. Explain why we think Python is a strong choice for solving economic problems\n3. Demonstrate Python's capabilities via example\n\n### Instructions\n\nIn order to follow along, you will need access to a working Python installation with the\nnecessary packages. There are two ways to achieve this:\n\n1. You can install Python on your own laptop. We recommend installing the Anaconda distribution\n   of Python which includes many of the scientific libraries we need -- To do this, you should\n   be able to follow instructions on the [QE Lecture Site](https://lectures.quantecon.org/py/getting_started.html)\n2. [Compute Canada](https://www.computecanada.ca/) and the [Pacific Institute for the Mathematical Sciences](http://www.pims.math.ca/)\n   host a public cloud that has all of the scientific libraries we need installed on the cloud. This is a great\n   option if you are unsure whether you want to use Python and don't want to spend time installing\n   it on your own computer until you know more. One caveat here is that you will receive a limited\n   amount of resources from this public service, so it will not necessarily be a long term solution.\n   If you are interested in this route, you should sign in with a Google account at https://pims.syzygy.ca.\n\nOnce you have either installed Python or logged into the public cloud service, you should download\nthese materials. If you're doing this on your own computer, you can get them from https://github.com/QuantEcon/GC_CUNY_workshop_2019.\nIf you're doing this on the PIMS cloud service, you can do this by going to the following link in\nyour browser https://pims.syzygy.ca/jupyter/user-redirect/git-pull?repo=https://github.com/QuantEcon/GC_CUNY_workshop_2019\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Fgc_cuny_workshop_2019","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantecon%2Fgc_cuny_workshop_2019","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Fgc_cuny_workshop_2019/lists"}