{"id":19644932,"url":"https://github.com/quantecon/rse_comp_econ_2023","last_synced_at":"2025-07-17T19:39:35.212Z","repository":{"id":68509034,"uuid":"592114242","full_name":"QuantEcon/rse_comp_econ_2023","owner":"QuantEcon","description":"RSE Computational Economics workshops Feb 2023","archived":false,"fork":false,"pushed_at":"2023-02-15T20:57:04.000Z","size":1998,"stargazers_count":3,"open_issues_count":0,"forks_count":7,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-04-28T11:21:31.528Z","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":null,"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":null,"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":"2023-01-22T23:58:22.000Z","updated_at":"2023-02-15T01:01:56.000Z","dependencies_parsed_at":"2023-06-05T16:30:50.416Z","dependency_job_id":null,"html_url":"https://github.com/QuantEcon/rse_comp_econ_2023","commit_stats":{"total_commits":12,"total_committers":1,"mean_commits":12.0,"dds":0.0,"last_synced_commit":"008f2b3a9f7fd582e3fdd0dff980122240838c61"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frse_comp_econ_2023","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frse_comp_econ_2023/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frse_comp_econ_2023/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frse_comp_econ_2023/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/QuantEcon","download_url":"https://codeload.github.com/QuantEcon/rse_comp_econ_2023/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251330475,"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":"2024-11-11T14:31:01.094Z","updated_at":"2025-04-28T14:32:29.322Z","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":"# RSE Computational Economics Workshop\n\n![](qe-logo-large.png)\n\n## An introduction to computational methods for economics and finance\n\n* Date and time: 10:00am Thursday 16th Feb 2023\n* Duration: two hours\n* Location: Arndt Lecture Theatre 1, HW Arndt Building No. 25A\n* Lead instructors: Thomas J. Sargent and John Stachurski\n* Registration: https://www.eventbrite.com.au/e/an-introduction-to-computational-methods-for-economics-and-finance-tickets-504155250927\n\n## Content\n\nComputational methods and scientific computing are becoming increasingly\ncentral to research, analysis and policy work in economics and finance.\n\nThis is an introductory workshop for students and policy makers who are\ninterested in learning about the evolution of modern scientific computing\ntools and how they can be applied to economic problems. The main language used\nin the workshop will be Python, although other languages will also be\ndiscussed. The target audience is graduate students at the start of masters or\nPhD programs, advanced undergraduates who want to boost their computing\nskills, and policy makers at Australian policy institutions.\n\nTopics will include simulation, vectorization, JIT compilers, and parallelization.\n\n### Resources\n\n\n* [QuantEcon lectures](https://lectures.quantecon.org/)\n* [Anaconda Python](https://www.anaconda.com/distribution/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Frse_comp_econ_2023","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantecon%2Frse_comp_econ_2023","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Frse_comp_econ_2023/lists"}