{"id":19644965,"url":"https://github.com/quantecon/qe_data_science_conf","last_synced_at":"2025-04-28T14:32:30.592Z","repository":{"id":68509025,"uuid":"312462194","full_name":"QuantEcon/QE_data_science_conf","owner":"QuantEcon","description":"QuantEcon discussion for the Berkeley Data Science x Economics conference","archived":false,"fork":false,"pushed_at":"2020-11-18T16:09:43.000Z","size":8,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":7,"default_branch":"main","last_synced_at":"2025-04-28T11:22:21.188Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":["https://github.com/sponsors/numfocus","https://numfocus.org/donate-to-quantecon"],"categories":[],"sub_categories":[],"readme":"# Data Science x Econ Conference\n\nQuantEcon discussion for the [Berkeley Data Science x Economics conference](https://sites.google.com/berkeley.edu/datascienceineconomics)\n\n## Discussants\n\n* [John Stachurski](https://johnstachurski.net)\n* [Peifan Wu](https://peifanwu.weebly.com/)\n* [Chase Coleman](http://www.chasegcoleman.com/)\n* [Fedor Iskhakov](https://fedor.iskh.me/)\n* [Thomas Sargent](http://www.tomsargent.com/)\n\n\n## Schedule\n\n\n### Introduction by John Stachurski\n\n* Origins of [QuantEcon](https://quantecon.org)\n* Growth of [lecture series](https://quantecon.org/lectures/)\n* Spinning off libraries ([Python](https://quantecon.org/quantecon-py/), [Julia](https://quantecon.org/quantecon-jl/))\n* In house publishing via [Jupinx](https://jupinx.quantecon.org/)\n* To hardcopy or not to hardcopy?\n* [Executable Book Project](https://executablebooks.org/en/latest/) and the move to [Jupyter Book](https://jupyterbook.org/intro.html)\n\n\n### Discussion by Peifan Wu\n\n* [Hybrid course on economics and data science](https://github.com/ubcecon/ECON323_2020) at UBC, based on [QuantEcon DataScience](https://datascience.quantecon.org/)\n* Data wrangling and analysis [using Pandas](https://datascience.quantecon.org/pandas/)\n* Basic machine learning and [econometric applications](https://datascience.quantecon.org/applications/ml_in_economics.html)\n* Lecture notebooks on cloud-based Jupyter hub on campus: [ubc.syzygy.ca](https://ubc.syzygy.ca/)\n* Student feedback, and [final project showcases](https://datascience.quantecon.org/projects.html)\n\n\n### Discussion by Chase Coleman\n\n* Teaching data science, finance, and economics (Peking HSBC Business School)\n* Why companies are hiring economists\n* Importance of teaching software engineering (and other non-analytical tools) to non-software engineers\n\n\n### Discussion by Fedor Iskhakov\n\n* Computational economics course [at ANU](https://programsandcourses.anu.edu.au/course/econ3127)\n* Remote teaching using [screencasting](https://fedor.iskh.me/compecon)\n* Using [Jupinx](https://jupinx.quantecon.org/) to keep track of lectures and assignment notebooks\n* Using [GitHub Classrooms](https://classroom.github.com/classrooms) for interactions with the students\n\n\n### Closing Discussion by Tom Sargent\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Fqe_data_science_conf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantecon%2Fqe_data_science_conf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Fqe_data_science_conf/lists"}